awesome-jev-live

<p align="center"> <img src="assets/readme/hero.png" width="100%" alt="Awesome Jev Live"> </p> <h1 align="center">Awesome Jev Live</h1> <p align="center"><b>The evidence-graded Jev index that rebuilds itself every two hours.</b></p> <p align="center"> <a href="https://awesome.re"><img src="https://awesome.re/badge-flat2.svg" alt="Awesome"></a> <img src="https://img.shields.io/badge/entries-867-0d9488" alt="entries"> <img src="https://img.shields.io/badge/languages-20-1f6feb" alt="languages"> <img src="https://img.shields.io/badge/refresh-every%202h-16a34a" alt="refresh"> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-lightgrey" alt="MIT"></a> <a href="https://wh000wh000.github.io/awesome-jev-live/"><img src="https://img.shields.io/badge/site-searchable-1f6feb" alt="site"></a> </p> <p align="center">_{<b>English</b> · <a href="docs/README.zh-CN.md">简体中文</a> · <a href="docs/README.zh-TW.md">繁體中文</a> · <a href="docs/README.ja.md">日本語</a> · <a href="docs/README.ko.md">한국어</a> · <a href="docs/README.es.md">Español</a> · <a href="docs/README.fr.md">Français</a> · <a href="docs/README.de.md">Deutsch</a> · <a href="docs/README.pt-BR.md">Português (Brasil)</a> · <a href="docs/README.ru.md">Русский</a> · <a href="docs/README.it.md">Italiano</a> · <a href="docs/README.ar.md">العربية</a> · <a href="docs/README.hi.md">हिन्दी</a> · <a href="docs/README.tr.md">Türkçe</a> · <a href="docs/README.vi.md">Tiếng Việt</a> · <a href="docs/README.th.md">ไทย</a> · <a href="docs/README.id.md">Bahasa Indonesia</a> · <a href="docs/README.pl.md">Polski</a> · <a href="docs/README.nl.md">Nederlands</a> · <a href="docs/README.uk.md">Українська</a>}</p> > [!NOTE] > **Live index** · Last sync: `2026-10-03T01:11:39+08:00` (UTC+8) > · Entries: **867** · New this tick: **117** · Implementation languages: **25** _{Every entry below was collected, filtered and re-checked by the pipeline in this repository. Numbers and timestamps come from the sources, not from a hand-written snapshot.} <a id="featured"></a> ## 🔥 Picks of the moment — the top of each category _{One entry per category, ranked by evidence grade and stars, recomputed on every tick. A ranking, not an endorsement; every pick links through to its full card below. Projects that published a screenshot or a recording are preferred, so the strip stays visual.} <table> <tr> <td width="50%" valign="top"> <b>🏛️ <a href="https://github.com/typesafe-ai/skills">typesafe-ai/skills</a></b> _{⭐2530 · ✅ official} _{Agent skills for building with TypeSafe&#x27;s System One API} </td> <td width="50%" valign="top"> <img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/john-rocky--coreai-kit/415a9014b32db230.jpg" width="100%" alt="typesafe-ai/skills"> <b>🧰 <a href="https://github.com/john-rocky/coreai-kit">john-rocky/coreai-kit</a></b> _{⭐116 · Swift · 👁️ observed} _{Swift SDK for running chat, vision and speech models on iPhone and Mac with Apple&#x27;s Core AI. Model download and caching, FoundationModels integration, and runnable…} </td> </tr> <tr> <td width="50%" valign="top"> <img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/gargpratyush--jev-router/361cf042aa7f2e59.png" width="100%" alt="john-rocky/coreai-kit"> <b>🤖 <a href="https://github.com/gargpratyush/jev-router">gargpratyush/jev-router</a></b> _{⭐519 · JavaScript · 🔎 inferred} _{Route to the cheapest model in claude code for your task using jev-router} </td> <td width="50%" valign="top"> <img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/nandhakishorm--laya/e01e49f0d842b461.png" width="100%" alt="gargpratyush/jev-router"> <b>🛡️ <a href="https://github.com/NandhaKishorM/laya">NandhaKishorM/laya</a></b> _{⭐30121 · Python · 👁️ observed} _{Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that…} </td> </tr> <tr> <td width="50%" valign="top"> <img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/ikermoel--open-alternative-jev/41dab050f73a168f.png" width="100%" alt="NandhaKishorM/laya"> <b>🧪 <a href="https://github.com/ikermoel/open-alternative-jev">ikermoel/open-alternative-jev</a></b> _{⭐58 · Python · 👁️ observed} _{Open-source alternative to TypeSafe&#x27;s Jev: a System One style model layer that gives typed, calibrated decisions from any open-weights LLM in one forward pass (HF +…} </td> <td width="50%" valign="top"> <img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/tianyucodings--nanojev/da3528699bc28423.gif" width="100%" alt="ikermoel/open-alternative-jev"> <b>🔬 <a href="https://github.com/TianyuCodings/NanoJev">TianyuCodings/NanoJev</a></b> _{⭐2473 · Python · 🔎 inferred} _{A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.} </td> </tr> <tr> <td width="50%" valign="top"> <img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/zadescoxp--jev-trades/d74708c101b60531.png" width="100%" alt="TianyuCodings/NanoJev"> <b>🎮 <a href="https://github.com/zadescoxp/Jev-Trades">zadescoxp/Jev-Trades</a></b> _{⭐39 · Python · 👁️ observed} _{Trading bot with the all new TypeSafe AI&#x27;s first system one model named as Jev} </td> <td width="50%" valign="top"> <b>📰 <a href="https://docs.typesafe.ai/model-jaggedness/jev-1.13">9 类已知缺陷（jaggedness）</a></b> _{⭐0 · ✅ official} _{字面理解、**计数不可靠**、日期比较、多级间接、无关细节大 state、对抗内容、指令与 criteria 矛盾、结构性不变量、生成。官方建议&quot;拆成原子问题在代码里组合&quot;。} </td> </tr> </table> ## Contents - [What is Jev](#what-is-jev) - [How entries are graded](#how-entries-are-graded) - [Official SDKs and developer tools](#official-sdks-and-developer-tools) — **7** - [Community clients, SDKs and adapters](#community-clients-sdks-and-adapters) — **124** - [Agent tooling: MCP, hooks, gates and coding agents](#agent-tooling-mcp-hooks-gates-and-coding-agents) — **240** - [Routing, guardrails and approvals](#routing-guardrails-and-approvals) — **75** - [Evaluation, calibration and benchmarks](#evaluation-calibration-and-benchmarks) — **77** - [Open reproductions, weights and architecture research](#open-reproductions-weights-and-architecture-research) — **59** - [Applications, games, robotics and interactive demos](#applications-games-robotics-and-interactive-demos) — **56** - [Writing, discussions and sibling lists](#writing-discussions-and-sibling-lists) — **97** - [Other projects](#other-projects) — **132** - [Projects by implementation language](#projects-by-implementation-language) - [How this list stays current](#how-this-list-stays-current) ## What is Jev Jev is TypeSafe AI's first **System One model**. It does not write prose. It takes a state plus questions whose answer space you define in advance, and returns typed values with probability distributions your code can branch on. | | | | ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **Shape** | `state + typed questions` → `constrained answers + probabilities` → `your code` | | **Primitives** | `Choice` (pick one of ≤255 options), `Score` (a rubric 2–10), `Noul` (a probabilistic yes/no) | | **Endpoint** | `POST https://api.typesafe.ai/v1/systemone`, model `jev-1.13.0` / alias `jev-latest` | | **Good fits** | routing, triage, scoring, moderation, verification and low-latency gates inside a bounded workflow | | **Known limits** | counting is unreliable, multi-level indirection is weak, and official material names nine classes of jaggedness. Schema-valid output is not the same as a correct decision — calibrate on your own data. | ## How entries are graded Most lists in this space assert inclusion. This one says how much it actually verified, then lets you filter accordingly. | Grade | What it means | | ------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------- | | `official` | Published by TypeSafe AI itself. | | `observed` | A public artifact that can be opened and read — real source, real configuration, or an explicit TypeSafe/Jev declaration in the repository name or topic. | | `inferred` | Matched on an ambiguous signal plus corroborating vocabulary, but not yet read line by line. | | `unverified` | Looks related, nothing independently confirmed. Listed for discovery only. | <a id="official-sdk"></a> ## Official SDKs and developer tools Everything published by TypeSafe itself. Start here. <details> <summary>🏛️ <b><a href="https://github.com/typesafe-ai/skills">typesafe-ai/skills</a></b> · ⭐2530 · ✅ official · 20d · ⭐-2</summary> ##### 📝 Summary Agent skills for building with TypeSafe's System One API > 💡 The vendor's own agent skills. Because it is updated continuously, it is the closest thing to a specification of how TypeSafe intends Jev to be driven from an agent. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Official SDKs and developer tools` | | Evidence | `official` | ##### 📊 Data | Metric | Value | | ------------ | ------------- | | Stars | **2530** (-2) | | Last push | 2026-09-12 | | First listed | 2026-09-18 | </details> <details> <summary>🏛️ <b><a href="https://github.com/typesafe-ai/system-one-adapter-python">typesafe-ai/system-one-adapter-python</a></b> · ⭐375 · Python · ✅ official · 10d</summary> ##### 📝 Summary Drop-in TypeSafeClient replacement backed by LLM APIs > 💡 Drop-in replacement that backs the same interface with an ordinary LLM provider. This is the honest way to A/B a typed decision against a prompt, on your own data, before committing to either. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Official SDKs and developer tools` | | Evidence | `official` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **375** | | Last push | 2026-09-22 | | First listed | 2026-09-18 | </details> <details> <summary>🏛️ <b><a href="https://github.com/typesafe-ai/typesafe-sdk-js">typesafe-ai/typesafe-sdk-js</a></b> · ⭐266 · TypeScript · ✅ official · 16d</summary> ##### 📝 Summary The official TypeScript/JavaScript library for the TypeSafe API > 💡 TypeScript client where the answer type is inferred from the question you asked, so a mismatched return type is a compile error rather than a runtime surprise. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Official SDKs and developer tools` | | Evidence | `official` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **266** | | Last push | 2026-09-15 | | First listed | 2026-09-18 | </details> <details> <summary>🏛️ <b><a href="https://github.com/typesafe-ai/typesafe-sdk-python">typesafe-ai/typesafe-sdk-python</a></b> · ⭐261 · Python · ✅ official · 5d</summary> ##### 📝 Summary The official Python library for the TypeSafe API > 💡 Synchronous and asynchronous clients. The fastest path from an API key to a typed decision, and the reference the community clients are compared against. _{🔧 Found used in code: `src/typesafe_sdk/__init__.py`} ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Official SDKs and developer tools` | | Evidence | `official` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **261** | | Last push | 2026-09-26 | | First listed | 2026-09-18 | </details> <details> <summary>🏛️ <b><a href="https://github.com/TypeSafeAI/jev-harness">TypeSafeAI/jev-harness</a></b> · ⭐26 · TypeScript · ✅ official · 0d</summary> ##### 📝 Summary A custom coding harness for TypeSafe AI's Jev: an LLM proposes, Jev answers narrow questions, code decides, every step leaves a receipt. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Official SDKs and developer tools` | | Evidence | `official` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **26** | | Last push | 2026-10-01 | | First listed | 2026-10-02 | 🏷 `agent-harness` · `agentic-coding` · `ai-agents` · `ai-governance` · `ai-safety` · `code-review` · `coding-agent` · `developer-tools` </details> <details> <summary>🏛️ <b><a href="https://github.com/typesafe-ai/WorkflowEvals">typesafe-ai/WorkflowEvals</a></b> · ⭐13 · Python · ✅ official · 3d</summary> ##### 📝 Summary evals.typesafe.ai workflow code published ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Official SDKs and developer tools` | | Evidence | `official` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **13** | | Last push | 2026-09-29 | | First listed | 2026-09-30 | </details> <details> <summary>🏛️ <b><a href="https://github.com/typesafe-ai/typesafe-ai.github.io">typesafe-ai/typesafe-ai.github.io</a></b> · ⭐2 · HTML · ✅ official · 120d</summary> ##### 📝 Summary No upstream description was published. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Official SDKs and developer tools` | | Evidence | `official` | | Language | HTML | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **2** | | Last push | 2026-06-04 | | First listed | 2026-09-18 | </details> <a id="community-sdk"></a> ## Community clients, SDKs and adapters Typed clients for the System One endpoint, across as many languages as the community has got round to. <details> <summary>🧰 <b><a href="https://github.com/jexp/neo4jev">jexp/neo4jev</a></b> · ⭐156 · Jupyter · 👁️ observed · 14d</summary> ##### 📝 Summary Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | | Language | Jupyter | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **156** | | Last push | 2026-09-18 | | First listed | 2026-09-18 | </details> <details> <summary>🧰 <b><a href="https://github.com/john-rocky/coreai-kit">john-rocky/coreai-kit</a></b> · ⭐116 · Swift · 👁️ observed · 0d</summary> ##### 📝 Summary Swift SDK for running chat, vision and speech models on iPhone and Mac with Apple's Core AI. Model download and caching, FoundationModels integration, and runnable examples with documented OS, SDK and model requirements. _{🔧 Found used in code: `Sources/CoreAIOps/CoreAI+SystemOne.swift`} ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | | Language | Swift | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **116** | | Last push | 2026-10-02 | | First listed | 2026-10-02 | 🏷 `apple` · `apple-core-ai` · `asr` · `core-ai` · `coreai` · `foundation-models` · `ios` · `ios-27` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/john-rocky--coreai-kit/415a9014b32db230.jpg" width="100%" alt="john-rocky/coreai-kit screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/john-rocky--coreai-kit/c98c7bb8cb04e76e.gif" width="100%" alt="john-rocky/coreai-kit animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary>🧰 <b><a href="https://github.com/bodepudimuneendra-netizen/laya-jev-GraphRAG">bodepudimuneendra-netizen/laya-jev-GraphRAG</a></b> · ⭐49 · Python · 👁️ observed · 3d</summary> ##### 📝 Summary A database-agnostic Agentic GraphRAG framework using swappable System One models (local Laya / cloud Jev). A plug-and-play intelligence layer featuring a complete 4-phase pipeline, continuous evaluation and custom A* traversal for any graph database. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **49** | | Last push | 2026-09-29 | | First listed | 2026-09-25 | 🏷 `astar-algorithm` · `eval-harness` · `fine-tuning` · `graphdatabase` · `graprag` · `jev` · `laya` · `neo4j` </details> <details> <summary>🧰 <b><a href="https://github.com/MrJev/awesome-jev">MrJev/awesome-jev</a></b> · ⭐15 · Python · 👁️ observed · 0d</summary> ##### 📝 Summary A curated list of projects, integrations, and resources for Jev, TypeSafe AI's System One model. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **15** | | Last push | 2026-10-02 | | First listed | 2026-09-18 | 🏷 `ai-agents` · `awesome` · `awesome-list` · `jev` · `mcp` · `typesafe` </details> <details> <summary>🧰 <b><a href="https://github.com/ckaraca/awesome-jev">ckaraca/awesome-jev</a></b> · ⭐14 · Python · 👁️ observed · 4d</summary> ##### 📝 Summary A curated list of tools, integrations, and experiments built on Jev, TypeSafe AI's System One model for fast, typed decisions. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **14** | | Last push | 2026-09-28 | | First listed | 2026-09-19 | 🏷 `ai-agents` · `awesome` · `awesome-list` · `computer-use` · `jev` · `llm` · `system-one` · `typesafe` </details> <details> <summary>🧰 <b><a href="https://github.com/Premo-Cloud/typesafe-sdk-java">Premo-Cloud/typesafe-sdk-java</a></b> · ⭐11 · Java · 👁️ observed · 7d</summary> ##### 📝 Summary Community Java SDK for Jev, TypeSafe's System One model: typed questions in, typed answers with calibrated probabilities out. Java 17+, Spring Boot starter (unofficial) ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | | Language | Java | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **11** | | Last push | 2026-09-25 | | First listed | 2026-09-18 | 🏷 `java` · `jev` · `sdk` · `spring-boot` · `system-one` · `system-one-models` · `typesafe` </details> <details> <summary>🧰 <b><a href="https://github.com/PromtEngineer/jev-harness">PromtEngineer/jev-harness</a></b> · ⭐7 · Python · 👁️ observed · 7d</summary> ##### 📝 Summary A Pi agent harness built around TypeSafe's Jev (System One model): router, context picker, gate, verifier. Tested on Neon Postgres branches. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **7** | | Last push | 2026-09-24 | | First listed | 2026-09-30 | </details> <details> <summary>🧰 <b><a href="https://github.com/xingwudao/OpenJev">xingwudao/OpenJev</a></b> · ⭐5 · Python · 👁️ observed · 14d</summary> ##### 📝 Summary OpenJev: an independent Jev-inspired System One decision API based on TypeSafe.ai concepts. Choice, score and noul primitives, local mock server, Python and TypeScript SDKs. Real inference planned; not affiliated with TypeSafe AI. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **5** | | Last push | 2026-09-18 | | First listed | 2026-09-18 | 🏷 `ai-guardrails` · `classification` · `decision-api` · `jev` · `mock-server` · `openjev` · `probabilistic-inference` · `python-sdk` </details> <details> <summary>🧰 <b><a href="https://github.com/clouatre-labs/decisions-judge-mcp">clouatre-labs/decisions-judge-mcp</a></b> · ⭐4 · JavaScript · 👁️ observed · 0d</summary> ##### 📝 Summary Typed decisions for AI agents as an MCP tool: yes/no probability (noul), choice, and score in one fast request. Backed by the TypeSafe System One model. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | | Language | JavaScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **4** | | Last push | 2026-10-02 | | First listed | 2026-09-21 | 🏷 `agent` · `ai` · `cli` · `decision-making` · `decisions` · `judge` · `llm` · `mcp` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/clouatre-labs--decisions-judge-mcp/c8c00f2b58774857.gif" width="100%" alt="clouatre-labs/decisions-judge-mcp screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/clouatre-labs--decisions-judge-mcp/c8c00f2b58774857.gif" width="100%" alt="clouatre-labs/decisions-judge-mcp animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary>🧰 <b><a href="https://github.com/frodi-karlsson/onesie">frodi-karlsson/onesie</a></b> · ⭐2 · Go · 👁️ observed · 3d</summary> ##### 📝 Summary An expressive Unix-pipeable CLI for System One models like Jev ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | | Language | Go | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **2** | | Last push | 2026-09-29 | | First listed | 2026-09-28 | 🏷 `cli` · `go` · `golang` · `jev` · `systemone` </details> <details> <summary>🧰 <b><a href="https://github.com/CMaintz/jev-dotnet">CMaintz/jev-dotnet</a></b> · ⭐1 · C# · 👁️ observed · 1d</summary> ##### 📝 Summary Unofficial .NET SDK for TypeSafe AI's Jev System One model. Typed Choice/Score/Noul judgments with calibrated confidence, zero dependencies. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | | Language | C# | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-10-01 | | First listed | 2026-09-29 | 🏷 `ai` · `api-client` · `classification` · `confidence` · `csharp` · `dotnet` · `dotnet-core` · `dotnet-library` </details> <details> <summary>🧰 <b><a href="https://github.com/jqueryscript/awesome-jev">jqueryscript/awesome-jev</a></b> · ⭐1 · 👁️ observed · 0d · **NEW**</summary> ##### 📝 Summary A curated list of TypeSafe Jev resources, SDKs, agents, MCP servers, integrations, benchmarks, examples, and open System One implementations. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-10-02 | | First listed | 2026-10-03 | 🏷 `ai-agents` · `awesome` · `awesome-list` · `jev` · `mcp` · `system-one-models` · `typesafe-ai` </details> <details> <summary>🧰 <b><a href="https://github.com/Bonzokoles/36_chambers">Bonzokoles/36_chambers</a></b> · Python · 👁️ observed · 7d</summary> ##### 📝 Summary Federated knowledge retrieval engine for AI agents. Routes queries across specialized backends (FTS5, ChromaDB, graph) via a registry-first orchestrator with TypeSafe/Jev AI routing and evidence re-ranking. Read-only by default, security-gated by design. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-09-24 | | First listed | 2026-09-25 | 🏷 `ai-agents` · `ai-infrastructure` · `chromadb` · `embeddings` · `federated-search` · `fts5` · `information-retrieval` · `jev` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/Bonzokoles/36_chambers/main/assets/36_chambers_shaolin_matrix_hero.jpg" width="100%" alt="Bonzokoles/36_chambers screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> _{Asset hot-linked from the upstream repository because no redistribution licence was declared.} </details> <details> <summary>🧰 <b><a href="https://github.com/OpenByteInc/QuantDinger">OpenByteInc/QuantDinger</a></b> · ⭐12368 · Python · 🔎 inferred · 0d · ⭐-12</summary> ##### 📝 Summary Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | --------------- | | Stars | **12368** (-12) | | Last push | 2026-10-02 | | First listed | 2026-09-20 | 🏷 `agent` · `alpaca` · `backtesting` · `binance` · `crypto` · `exchange` · `finance` · `fintech` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/openbyteinc--quantdinger/bad53c6f91086527.jpg" width="100%" alt="OpenByteInc/QuantDinger screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🧰 <b><a href="https://github.com/dzhng/jevgrep">dzhng/jevgrep</a></b> · ⭐2051 · TypeScript · 🔎 inferred · 0d · ⭐+8</summary> ##### 📝 Summary Find code by asking what it does. A CLI for coding agents that uses Jev to discover relevant files and source context. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `inferred` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ------------- | | Stars | **2051** (+8) | | Last push | 2026-10-02 | | First listed | 2026-09-27 | 🏷 `ai-sdk` · `claude-code` · `cli` · `code-search` · `codex` · `coding-agents` · `context-retrieval` · `developer-tools` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/dzhng--jevgrep/3665e233a7786f49.png" width="100%" alt="dzhng/jevgrep screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🧰 <b><a href="https://github.com/supercorp-ai/supercov">supercorp-ai/supercov</a></b> · ⭐143 · Rust · 🔎 inferred · 0d</summary> ##### 📝 Summary Coverage, security and code quality for coding agents > 💡 Code quality and coverage verdicts produced as typed decisions rather than prose, so the result can gate a pipeline directly. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `inferred` | | Language | Rust | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **143** | | Last push | 2026-10-02 | | First listed | 2026-09-18 | 🏷 `agent-skills` · `claude-code` · `code-coverage` · `code-quality` · `codex` · `coding-agents` · `coverage` · `gemini-cli-extension` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/supercorp-ai--supercov/4fec13cdddabd5f2.jpg" width="100%" alt="supercorp-ai/supercov screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🧰 <b><a href="https://github.com/socai-io/jev-social">socai-io/jev-social</a></b> · ⭐140 · JavaScript · 🔎 inferred · 0d</summary> ##### 📝 Summary Open-source, local-first social media research agent for Instagram, TikTok, and LinkedIn. Jev routes read-only steps; socai CLI captures cited browser evidence. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `inferred` | | Language | JavaScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **140** | | Last push | 2026-10-01 | | First listed | 2026-09-26 | 🏷 `agent-skills` · `ai-agents` · `browser-agent` · `browser-automation` · `decision-model` · `deep-research` · `instagram` · `jev` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/socai-io--jev-social/b95803491d0f55c3.png" width="100%" alt="socai-io/jev-social screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/socai-io--jev-social/0a9e1e30f2fa0829.gif" width="100%" alt="socai-io/jev-social animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary>🧰 <b><a href="https://github.com/AkashPriyadarshii/jev-seo">AkashPriyadarshii/jev-seo</a></b> · ⭐92 · Rust · 🔎 inferred · 0d</summary> ##### 📝 Summary Free Rust SEO and GEO toolkit powered by TypeSafe Jev: 58-rule audits, site crawls, AI citation checks, rank drift, CI gates, 15-tool MCP. Zero cost. ##### 📌 Basic facts | Field | Value | | -------- | -------------------------------------- | | Category | `Community clients, SDKs and adapters` | | Evidence | `inferred` | | Language | Rust | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **92** | | Last push | 2026-10-02 | | First listed | 2026-09-18 | 🏷 `ahrefs-alternative` · `answer-engine-optimization` · `claude-code` · `cli` · `coding-agents` · `generative-engine-optimization` · `geo` · `jev` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/akashpriyadarshii--jev-seo/8761e36834a3cc5d.png" width="100%" alt="AkashPriyadarshii/jev-seo screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary><b>More in this category</b> _{· 106}</summary> - [systemonemodels/systemonemodels-sdk](https://github.com/systemonemodels/systemonemodels-sdk) - [CMaintz/jev-java](https://github.com/CMaintz/jev-java) - Unofficial Java SDK for TypeSafe AI. - [gajaguar/typesafe-cli](https://github.com/gajaguar/typesafe-cli) - Unofficial command-line interface for TypeSafe AI System One models, on… - [glacer06/bandwise](https://github.com/glacer06/bandwise) - System One Model wrapper and management for realtime adjustment flexible usage. - [realZachi/pg-jev](https://github.com/realZachi/pg-jev) - Ask your Postgres tables questions in plain language. - [sutro-sh/jev-align](https://github.com/sutro-sh/jev-align) - Build calibrated AI Functions from human feedback using Jev and GEPA. - [juspay/neurolink](https://github.com/juspay/neurolink) - The pipe layer of an AI nervous system — one interface connecting provider… - [keltokhy/jgrep](https://github.com/keltokhy/jgrep) - grep, but the pattern is a description. - [aaddrick/building-with-typesafe-jev](https://github.com/aaddrick/building-with-typesafe-jev) - Unofficial skill that teaches coding agents to build with TypeSafe AI. - [qkal/Canny](https://github.com/qkal/Canny) - Stops AI coding agents from claiming work is done without evidence. - [AkashPriyadarshii/jev-curate](https://github.com/AkashPriyadarshii/jev-curate) - High-throughput synthetic and pretraining dataset sifter for TypeSafe Jev. - [fazlerocks/jevmail](https://github.com/fazlerocks/jevmail) - Open-source AI email triage for Gmail. - [Ying-Kai-Liao/jev-browser](https://github.com/Ying-Kai-Liao/jev-browser) - Browser automation where an LLM plans and Jev (Typesafe System One) decides. - [yzfly/awesome-jev-zh](https://github.com/yzfly/awesome-jev-zh) - Jev / TypeSafe System One 中文精选列表：官方资料、SDK、爆款应用、Agent… - [sharziki/semdecide](https://github.com/sharziki/semdecide) - Typed semantic decisions for Unix pipelines and CI, powered by TypeSafe AI Jev. - [Protocol-Lattice/GoEventBus](https://github.com/Protocol-Lattice/GoEventBus) - A high-performance event bus with optional intelligent event routing. - [AboveColin/HA-Jev](https://github.com/AboveColin/HA-Jev) - Ask your house a question, get a number back. - [bladedevoff/stuntd](https://github.com/bladedevoff/stuntd) - Local proxy that learns your app. - [burnigtm/jev-mcp](https://github.com/burnigtm/jev-mcp) - MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any… - [tacticocc/Jevbridge](https://github.com/tacticocc/Jevbridge) - ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and… - [pinecone-io/cultivar](https://github.com/pinecone-io/cultivar) - Use cultivar to test your Agent Skills and Docs by running them in sandboxes… - [AkashPriyadarshii/jev-superpowers](https://github.com/AkashPriyadarshii/jev-superpowers) - Systematic software development framework for AI coding agents upgraded with… - [dannote/jev](https://github.com/dannote/jev) - TypeSafe Jev for OTP: reply to Jev from a GenServer and pattern match on its… - [lukstei/slop-grader](https://github.com/lukstei/slop-grader) - Jev-powered, rule-based grader for text files. - [evoke-build/evoke](https://github.com/evoke-build/evoke) - Software, by reflex. An open runtime that turns human intent into inspectable… - [arjun988/Kev](https://github.com/arjun988/Kev) - Open-source System One decision engine. - [Ray-Hughes/jevalyn](https://github.com/Ray-Hughes/jevalyn) - The decision layer for your Rails app. - [thusinh1969/BrighTO_Router](https://github.com/thusinh1969/BrighTO_Router) - BrighTO LLM Router: free open-source, ultra-fast self-hosted Rust LLM gateway… - [CheshiAI/Cheshi](https://github.com/CheshiAI/Cheshi) - Jev-powered conversation memory: find past sessions and revisit decisions with… - [saibimajdi/typesafeai-dotnet-sdk](https://github.com/saibimajdi/typesafeai-dotnet-sdk) - Community .NET SDK for the TypeSafe AI System One API — typed noul, choice, and… - [tontoko/jev-browser](https://github.com/tontoko/jev-browser) - One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server… - [Elue-dev/jev_elixir](https://github.com/Elue-dev/jev_elixir) - jev_elixir is a small, idiomatic interface for making typed decisions with Jev. - [Tech-Byte-Frontier/jevgate](https://github.com/Tech-Byte-Frontier/jevgate) - Code-review gate for CI and coding agents: asks TypeSafe Jev small typed… - [devbackend/jevgo](https://github.com/devbackend/jevgo) - Unofficial Go client for the TypeSafe AI System One API (Jev) — typed questions… - [himomohi/aside-jev](https://github.com/himomohi/aside-jev) - Aside agents decide with TypeSafe Jev (System One: Choice/Score/Noul). - [haileyok/typesafe-client](https://github.com/haileyok/typesafe-client) - Unofficial Go and Rust clients for the TypeSafe AI System One API (Jev). - [docxology/daf-jev](https://github.com/docxology/daf-jev) - daf-jev: composable Python toolkit for TypeSafe. - [mukiwu/jev-search-mcp](https://github.com/mukiwu/jev-search-mcp) - Jev Search as an MCP server, Claude Code plugin and CLI. - [Olti1947/jev-java](https://github.com/Olti1947/jev-java) - Idiomatic Java SDK for TypeSafe AI Jev System One decision engine. - [Stumble/jev-go](https://github.com/Stumble/jev-go) - Community Go SDK for TypeSafe AI Jev / System One. - [sumleo/prompt2jev](https://github.com/sumleo/prompt2jev) - Agent skill and CLI that turn natural language, an LLM prompt, or the code that… - [chenrui333/jev-docs](https://github.com/chenrui333/jev-docs) - Community-maintained history of Jev / TypeSafe System One APIs, SDKs, agent… - [lzq-0529/jev-span](https://github.com/lzq-0529/jev-span) - Zero-shot named entity recognition on TypeSafe Jev. - [Butochnikov/laravel-typesafe-jev](https://github.com/Butochnikov/laravel-typesafe-jev) - Unofficial Laravel integration for TypeSafe Jev AI with typed responses, async… - [lexingtonhibiki/judgekit](https://github.com/lexingtonhibiki/judgekit) - YAML-based classification, routing, scoring and verification. - [lookski/openjev](https://github.com/lookski/openjev) - Open decision engine: type-safe answers with raw softmax probabilities from a… - [nshkrdotcom/system_one_sdk](https://github.com/nshkrdotcom/system_one_sdk) - Provider-neutral Elixir/BEAM SDK for System One semantics: typed Noul, Choice… - [pinkroosterai/SystemOneSharp](https://github.com/pinkroosterai/SystemOneSharp) - A .NET client for the System One API used by Jev and compatible Laya servers. - [ursuciprian/reflex](https://github.com/ursuciprian/reflex) - Pre-execution risk gate for AI coding agents. - [zhirschtritt/typesafe-go](https://github.com/zhirschtritt/typesafe-go) - Idiomatic Go SDK for the TypeSafe AI API. - [AboveColin/jevclient](https://github.com/AboveColin/jevclient) - Async Python client for TypeSafe Jev. Typed questions in, probabilities and… - [Kadihx/jev-x-kit](https://github.com/Kadihx/jev-x-kit) - Offline $0 decision layer for coding agents: Choice/Score/Noul primitives… - [acidkill/JevCompass](https://github.com/acidkill/JevCompass) - Tool and skill suggestions for Codex Desktop and CLI, with local-first privacy… - [agugliotta/jev-kmp](https://github.com/agugliotta/jev-kmp) - TypeSafe Jev Kotlin Multiplatform (KMP) SDK for Android, iOS, and JVM. - [AmooEbrahim/jev-answers](https://github.com/AmooEbrahim/jev-answers) - MCP server + CLI: send files and typed questions to TypeSafe. - [bspiritxp/jev-cli](https://github.com/bspiritxp/jev-cli) - CLI client for TypeSafe Jev (System One) structured decisions: noul / choice /… - [getmissionctrl/hs-jev](https://github.com/getmissionctrl/hs-jev) - Haskell client for TypeSafe. - [Hyper-AI-Lab/openclaw-jev](https://github.com/Hyper-AI-Lab/openclaw-jev) - Production control plane for OpenClaw agents: intake routing with Jev, Temporal… - [kunobi-ninja/kunobi-jev](https://github.com/kunobi-ninja/kunobi-jev) - Rust client for the TypeSafe System One API (Jev). - [Lasimeri/Mechanical-Jev](https://github.com/Lasimeri/Mechanical-Jev) - The asking side of Jev (TypeSafe System One: noul, choice, score) in Rust… - [silkyland/use-jev](https://github.com/silkyland/use-jev) - MCP server + CLI exposing TypeSafe. - [vijaycinn/el-jev](https://github.com/vijaycinn/el-jev) - High-speed System One decision sidecar &amp; Copilot CLI pre-turn hook powered by… - [AkashPriyadarshii/jev-stars](https://github.com/AkashPriyadarshii/jev-stars) - Local-first GitHub stars memory for AI coding agents: Rust CLI turning 1243… - [Axiumine/jev-claude-code](https://github.com/Axiumine/jev-claude-code) - Jev. - [bitranox/btx-skill-jev-judge](https://github.com/bitranox/btx-skill-jev-judge) - Claude Code plugin and Python CLI: hand a judgment repeated over many items to… - [CMaintz/jev-tools](https://github.com/CMaintz/jev-tools) - TypeScript tools built on TypeSafe AI. - [codebam/jev-guardrails](https://github.com/codebam/jev-guardrails) - Jev-backed guardrails for agent tool calls: library, native… - [cyysky/local-intern-jev-ultrafast](https://github.com/cyysky/local-intern-jev-ultrafast) - internlm/Intern-Decision-4B with v1/systemone api and jev-ultrafast integration. - [GabrielCoelhoCruz/jev-scanr](https://github.com/GabrielCoelhoCruz/jev-scanr) - A refactoring queue for TypeScript and JavaScript projects, judged by the Jev… - [gbesse/flink-jev](https://github.com/gbesse/flink-jev) - Flink SQL ML_PREDICT provider for TypeSafe Jev semantic decisions. - [gbesse/jev-columns](https://github.com/gbesse/jev-columns) - Maintain versioned semantic decisions as indexed PostgreSQL columns with a… - [gbesse/jev-contract-graph](https://github.com/gbesse/jev-contract-graph) - Conditional payoff proofs for prediction-market contracts with optional Jev… - [gbesse/mariadb-jev](https://github.com/gbesse/mariadb-jev) - Semantic SQL predicates for MariaDB powered by TypeSafe Jev. - [gbesse/meilisearch-jev](https://github.com/gbesse/meilisearch-jev) - Community TypeSafe Jev semantic decision integration for meilisearch. - [gbesse/metabase-jev](https://github.com/gbesse/metabase-jev) - Community TypeSafe Jev semantic decision integration for metabase. - [gbesse/pulsar-jev](https://github.com/gbesse/pulsar-jev) - Community TypeSafe Jev semantic decision integration for pulsar. - [gbesse/spark-jev](https://github.com/gbesse/spark-jev) - PySpark SQL UDF for TypeSafe Jev semantic decisions. - [hamza-paracha/proof-jev](https://github.com/hamza-paracha/proof-jev) - An open-source project using Jev for structured code review, backed by mutation… - [ivanblagdan/jev-cli](https://github.com/ivanblagdan/jev-cli) - Composable CLI for TypeSafe. - [jevplays-games/jev-2048-arcade](https://github.com/jevplays-games/jev-2048-arcade) - 2048 duel between a human and Jev on separate boards, with a TypeSafe adapter… - [JingHao-Leon/awesome-jev-apps](https://github.com/JingHao-Leon/awesome-jev-apps) - Jev 优质应用与生态精选｜System One 决策模型：开源应用·SDK·平台集成·开源复刻·教程 | curated apps &amp; SDKs for… - [NerdishShah/playwright-cli-jev-bakeoff](https://github.com/NerdishShah/playwright-cli-jev-bakeoff) - Bake-off: Playwright CLI vs CLI+Jev vs Playwright MCP. - [PyModel/jev-skill](https://github.com/PyModel/jev-skill) - Unofficial agent skill for TypeSafe AI. - [Sidneeuncharged29/jev-visual](https://github.com/Sidneeuncharged29/jev-visual) - Run vision-language model inference on Apple Silicon with Qwen3.5-0.8B via MLX; - [striges88-bit/jev-codex-experiment](https://github.com/striges88-bit/jev-codex-experiment) - Experimental Jev and TypeSafe integration for bounded Codex subagent routing… - [sususu98/pi-jev-navigator](https://github.com/sususu98/pi-jev-navigator) - Ultra-low-token System One context navigation and precision SOP dispatch engine… - [Talya1412/jev-harness](https://github.com/Talya1412/jev-harness) - TypeSafe Jev (System One) integrations for OMP, MCP, Claude Code, and Pi… - [TexasOct/jev-gateway](https://github.com/TexasOct/jev-gateway) - Session-aware OpenAI-compatible model-routing gateway powered by JEV. - [ukashanoor/jev-dotnet](https://github.com/ukashanoor/jev-dotnet) - Unofficial typed C# client for the Jev (TypeSafe System One) decision API… - [xiaohuaxi/jev-study](https://github.com/xiaohuaxi/jev-study) - Hands-on measurements of TypeSafe. - [Yasir-Khan-7/jev-sentinel](https://github.com/Yasir-Khan-7/jev-sentinel) - Prompt injection protection &amp; tool-call guardrails for LangChain / LangGraph AI… - [ZeroAlloc-Net/ZeroAlloc.Jev](https://github.com/ZeroAlloc-Net/ZeroAlloc.Jev) - Unofficial .NET client for TypeSafe. - [rokbenko/quackd](https://github.com/rokbenko/quackd) - One CLI for all your robots. Connect them, command them, and let them work… - [pithings/advocaat](https://github.com/pithings/advocaat) - A small, type-safe client for asking AI questions about your data, powered by… - [giuliosmall/pg_typesafe](https://github.com/giuliosmall/pg_typesafe) - Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification. - [MiaoWuNYA/rikkahub-sillytavern-android](https://github.com/MiaoWuNYA/rikkahub-sillytavern-android) - 安卓AI聊天端:开箱即聊，无损导入酒馆卡，缓存强省用量，Jev… - [obie/ruby_decision_model](https://github.com/obie/ruby_decision_model) - Ruby client for decision models such as Typesafe Jev. - [zhulinchng/jevper](https://github.com/zhulinchng/jevper) - Jev-shaped (TypeSafe System One) classification wrapper over OpenAI-like clients. - [gilljon/typesafe-ai-rs](https://github.com/gilljon/typesafe-ai-rs) - Independent async and blocking Rust SDK for the TypeSafe AI System One API. - [iamngoni/veyra](https://github.com/iamngoni/veyra) - Autonomous, provider-neutral trading service in Rust. - [Query-farm/vgi-typesafe](https://github.com/Query-farm/vgi-typesafe) - A VGI worker exposing TypeSafe System One questions (choice, noul, score) to… - [VBS2004/jevcut](https://github.com/VBS2004/jevcut) - Auto-clipper that turns long videos (podcasts, talks, essays, comedy) into… - [y0usaf/typesafe-cli](https://github.com/y0usaf/typesafe-cli) - Ask Jev typed questions from the shell: noul, choice, and score answers as… - [cipherTing/sael](https://github.com/cipherTing/sael) - Go client for the TypeSafe System One API (Jev) — the first piece of sael, a… - [geilt/typesafe-cli](https://github.com/geilt/typesafe-cli) - CLI and agent skill for TypeSafe System One (Jev): typed Choice, Score, and… - [iamtalha-arshad/ex_typesafe_ai](https://github.com/iamtalha-arshad/ex_typesafe_ai) - Unofficial Elixir client for the TypeSafe AI API — typed structs, Req-based… </details> <a id="agent-tooling"></a> ## Agent tooling: MCP, hooks, gates and coding agents The fastest-growing category: hooks, MCP servers and gates that put a typed decision in front of an agent's next action. <details> <summary>🤖 <b><a href="https://github.com/tamaratran/fast-jev-compaction">tamaratran/fast-jev-compaction</a></b> · ⭐7320 · TypeScript · 🔎 inferred · 14d · ⭐-6</summary> ##### 📝 Summary Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim. > 💡 Replaces a coding agent's context-compaction summary with a typed decision. A clean example of swapping one LLM call in an existing pipeline rather than rebuilding the pipeline. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `inferred` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ------------- | | Stars | **7320** (-6) | | Last push | 2026-09-18 | | First listed | 2026-09-18 | </details> <details> <summary>🤖 <b><a href="https://github.com/gargpratyush/jev-router">gargpratyush/jev-router</a></b> · ⭐519 · JavaScript · 🔎 inferred · 13d · ⭐-1</summary> ##### 📝 Summary Route to the cheapest model in claude code for your task using jev-router > 💡 Routes each turn to the cheapest model that can handle it. The canonical cost-reduction use case for a System One model. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `inferred` | | Language | JavaScript | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **519** (-1) | | Last push | 2026-09-19 | | First listed | 2026-09-18 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/gargpratyush--jev-router/361cf042aa7f2e59.png" width="100%" alt="gargpratyush/jev-router screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🤖 <b><a href="https://github.com/0xNatoshi/jev-codex-router">0xNatoshi/jev-codex-router</a></b> · ⭐274 · JavaScript · 🔎 inferred · 10d · ⭐-2</summary> ##### 📝 Summary Per-turn model & reasoning routing for Codex, driven by Jev (TypeSafe System One): picks the model, thinking depth and speed mode for every turn. > 💡 Per-turn model and reasoning-effort routing for a coding agent, driven by typed decisions. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `inferred` | | Language | JavaScript | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **274** (-2) | | Last push | 2026-09-22 | | First listed | 2026-09-18 | 🏷 `ai` · `codex` · `jev` · `llm` · `macos` · `routing` · `typesafe` </details> <details> <summary>🤖 <b><a href="https://github.com/AbdelStark/awesome-typesafe-jev">AbdelStark/awesome-typesafe-jev</a></b> · ⭐554 · HTML · 👁️ observed · 0d</summary> ##### 📝 Summary Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | | Language | HTML | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **554** | | Last push | 2026-10-02 | | First listed | 2026-09-21 | 🏷 `agent-skills` · `ai-agents` · `awesome` · `awesome-jev` · `awesome-list` · `awesome-lists` · `curated-list` · `developer-tools` </details> <details> <summary>🤖 <b><a href="https://github.com/valentynkit/awesome-jev-typesafe">valentynkit/awesome-jev-typesafe</a></b> · ⭐188 · JavaScript · 👁️ observed · 0d</summary> ##### 📝 Summary Typed decisions with TypeSafe's Jev, the first System One model ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | | Language | JavaScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **188** | | Last push | 2026-10-02 | | First listed | 2026-09-19 | 🏷 `ai-agents` · `awesome` · `awesome-list` · `claude-code` · `directory` · `jev` · `llm-agents` · `system-one` </details> <details> <summary>🤖 <b><a href="https://github.com/kraayenjon/awesome-jev">kraayenjon/awesome-jev</a></b> · ⭐166 · 👁️ observed · 5d</summary> ##### 📝 Summary A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and Noul with calibrated probabilities. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **166** | | Last push | 2026-09-27 | | First listed | 2026-09-19 | 🏷 `agents` · `ai` · `ai-agents` · `api` · `artificial-intelligence` · `automation` · `awesome` · `awesome-list` </details> <details> <summary>🤖 <b><a href="https://github.com/strands-labs/strands-decider">strands-labs/strands-decider</a></b> · ⭐159 · Python · 👁️ observed · 0d · ⭐+18</summary> ##### 📝 Summary A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------- | | Stars | **159** (+18) | | Last push | 2026-10-02 | | First listed | 2026-10-02 | 🏷 `ai` · `machine-learning` · `natural-language-understanding` · `python` · `strands-agents` · `strands-labs` · `system-one` · `system-one-models` </details> <details> <summary>🤖 <b><a href="https://github.com/dbreunig/building-with-jev-skill">dbreunig/building-with-jev-skill</a></b> · ⭐148 · 👁️ observed · 14d · ⭐+1</summary> ##### 📝 Summary A skill for writing and improving programs that call Jev, TypeSafe's System One model > 💡 A skill for writing programs that call Jev, rather than a program that calls Jev. The distinction matters: it encodes the design rules, not one implementation of them. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **148** (+1) | | Last push | 2026-09-17 | | First listed | 2026-09-18 | </details> <details> <summary>🤖 <b><a href="https://github.com/GhalebDweikat/winnow">GhalebDweikat/winnow</a></b> · ⭐101 · Python · 👁️ observed · 2d</summary> ##### 📝 Summary A calibrated context sieve for Claude Code: every tool result is judged by a System One model before it enters context. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **101** | | Last push | 2026-09-30 | | First listed | 2026-09-18 | 🏷 `claude-code` · `claude-code-plugin` · `context-management` · `jev` · `llm-agents` · `typesafe` </details> <details> <summary>🤖 <b><a href="https://github.com/Li-Evan/awesome-jev">Li-Evan/awesome-jev</a></b> · ⭐24 · HTML · 👁️ observed · 3d</summary> ##### 📝 Summary The most complete gallery of what people build with Jev, TypeSafe's System One model: 3,400+ projects, demos, and write-ups by scenario, each with its original link, image, and description. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | | Language | HTML | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **24** | | Last push | 2026-09-29 | | First listed | 2026-09-27 | 🏷 `ai` · `ai-agents` · `awesome` · `awesome-list` · `awesome-lists` · `bilingual` · `classification` · `decision-models` </details> <details> <summary>🤖 <b><a href="https://github.com/ChenneyZhuang/laya-browser-agent">ChenneyZhuang/laya-browser-agent</a></b> · ⭐16 · Python · 👁️ observed · 1d</summary> ##### 📝 Summary Local, open-source Jev alternative: browser agent decisions with Laya (System One model) on your own machine. No cloud, no API key. Playwright/CDP, MCP-friendly. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **16** | | Last push | 2026-10-01 | | First listed | 2026-09-21 | 🏷 `agent` · `ai-agents` · `apple-silicon` · `browser-agent` · `browser-automation` · `computer-use` · `decision-model` · `jev` </details> <details> <summary>🤖 <b><a href="https://github.com/yohanargentina-oss/Foq">yohanargentina-oss/Foq</a></b> · ⭐9 · Python · 👁️ observed · 12d</summary> ##### 📝 Summary ⚡ Foq — the FREE, local, open-source alternative to Jev. Typed System 1 decisions in ~25 ms — no waitlist, no cloud, no per-token cost. foq.fr ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **9** | | Last push | 2026-09-20 | | First listed | 2026-09-20 | 🏷 `agentic-ai` · `ai` · `decision-engine` · `foq` · `gguf` · `inference` · `jev` · `jev-alternative` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/yohanargentina-oss--foq/95e5ad1668a398fd.png" width="100%" alt="yohanargentina-oss/Foq screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🤖 <b><a href="https://github.com/caijinchun/nanojev-arena">caijinchun/nanojev-arena</a></b> · ⭐7 · HTML · 👁️ observed · 12d</summary> ##### 📝 Summary NanoJev Snake Arena: 1v4 human-vs-AI battleship + 100-agent swarm simulator. Local demo of Jev System-One model (open-source mini replica). ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | | Language | HTML | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **7** | | Last push | 2026-09-19 | | First listed | 2026-09-20 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/caijinchun--nanojev-arena/9b519386aa658fa3.png" width="100%" alt="caijinchun/nanojev-arena screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🤖 <b><a href="https://github.com/jev-ai-desktop/Jev-AI-Desktop">jev-ai-desktop/Jev-AI-Desktop</a></b> · ⭐1 · C++ · 👁️ observed · 4d</summary> ##### 📝 Summary Jev AI Model is TypeSafe 1.13: jev ai model, jev typesafe, jev api, jev github, jev pricing. noul, choice, score. 32K. Decisions not chat. Windows zip, extract and run. Official free download. Download:🡇 ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | | Language | C++ | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-09-28 | | First listed | 2026-09-29 | 🏷 `calibrated-decisions` · `jev-agent` · `jev-ai-model` · `jev-api` · `jev-choice` · `jev-console` · `jev-docs` · `jev-github` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/jev-ai-desktop--jev-ai-desktop/2269904ad1637594.png" width="100%" alt="jev-ai-desktop/Jev-AI-Desktop screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🤖 <b><a href="https://github.com/brookcs3/jev--system-one-for-claude">brookcs3/jev--system-one-for-claude</a></b> · Python · 👁️ observed · 0d</summary> ##### 📝 Summary Jev: TypeSafe's System One model as a Claude Code tool. Evidence-backed calibrated odds, typed judgments at scale (classify, search, rerank, score, guard, cite, route, extract), and a corpus → set → run → eval → train loop around fixed weights. Unofficial. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-10-02 | | First listed | 2026-10-02 | 🏷 `agent-skills` · `calibration` · `claude-code` · `claude-code-plugin` · `claude-plugin` · `jev` · `llm-evaluation` · `typesafe` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/brookcs3--jev--system-one-for-claude/8575d18c991bf453.jpg" width="100%" alt="brookcs3/jev--system-one-for-claude screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🤖 <b><a href="https://github.com/cedarmuse-creator/jev-decision-maker-at-meteora">cedarmuse-creator/jev-decision-maker-at-meteora</a></b> · Python · 👁️ observed · 2d</summary> ##### 📝 Summary Decision Maker at Meteora - a decision agent for Meteora DLMM liquidity on Solana. Named after Jev, TypeSafe AI's System One model (https://console.typesafe.ai/home), which answers its typed Noul and Score questions. Ranks the live pool universe, runs live rug cards, and holds 3-5 pools under explicit hard gates and book rules. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-09-30 | | First listed | 2026-09-21 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/cedarmuse-creator/jev-decision-maker-at-meteora/main/jev-flowchart.png" width="100%" alt="cedarmuse-creator/jev-decision-maker-at-meteora screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> _{Asset hot-linked from the upstream repository because no redistribution licence was declared.} </details> <details> <summary>🤖 <b><a href="https://github.com/dolevhayut/resurface">dolevhayut/resurface</a></b> · TypeScript · 👁️ observed · 0d</summary> ##### 📝 Summary TypeSafe JEV resume screening: LLM writes the questions, JEV (System One classification model) answers them for every resume in your ATS with the exact evidence line. 8× faster, 31× cheaper than an LLM. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `observed` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-10-02 | | First listed | 2026-10-01 | 🏷 `ai-recruiting` · `ats` · `candidate-matching` · `classification-model` · `claude` · `decision-model` · `evidence-based-hiring` · `hr-tech` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/dolevhayut--resurface/f608225396d0abe0.png" width="100%" alt="dolevhayut/resurface screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/dolevhayut--resurface/c50944d63f7ebaf3.gif" width="100%" alt="dolevhayut/resurface animation"><br>_{animated recording · <a href="https://raw.githubusercontent.com/dolevhayut/resurface/main/docs/launch/resurface-launch.mp4">Open video</a>}</td> </tr></table> </details> <details> <summary>🤖 <b><a href="https://github.com/browser-use/jev-ultrafast">browser-use/jev-ultrafast</a></b> · ⭐21779 · Python · 🔎 inferred · 2d · ⭐-2</summary> ##### 📝 Summary Fastest and cheapest web agent ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------------------- | | Category | `Agent tooling: MCP, hooks, gates and coding agents` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | -------------- | | Stars | **21779** (-2) | | Last push | 2026-09-30 | | First listed | 2026-09-18 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/browser-use--jev-ultrafast/3ba041d1c574f62a.gif" width="100%" alt="browser-use/jev-ultrafast screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/browser-use--jev-ultrafast/dcdb919ac3afb514.gif" width="100%" alt="browser-use/jev-ultrafast animation"><br>_{animated recording · <a href="https://raw.githubusercontent.com/browser-use/jev-ultrafast/main/docs/demo.mp4">Open video</a>}</td> </tr></table> </details> <details> <summary><b>More in this category</b> _{· 222}</summary> - [mani-aiml/jev-demos](https://github.com/mani-aiml/jev-demos) - Demos with Jev, TypeSafe. - [BYK/jev-mcp](https://github.com/BYK/jev-mcp) - An eval-first MCP server for TypeSafe. - [kolawong/fast-compaction-dsh](https://github.com/kolawong/fast-compaction-dsh) - Verdict-based context compaction for DeepSeek Harness — replaces lossy LLM… - [tiffygk/jev-mode](https://github.com/tiffygk/jev-mode) - Claude Code skills for building with Jev, TypeSafe. - [rajasekharponakala/jev-mcp](https://github.com/rajasekharponakala/jev-mcp) - MCP server wrapping TypeSafe. - [andyrewlee/awesome-system-one](https://github.com/andyrewlee/awesome-system-one) - A curated list of System One models, open implementations, agents, SDKs, and… - [anujgupta9860/intent-router-jev](https://github.com/anujgupta9860/intent-router-jev) - Intent classifier using Jev (TypeSafe AI System One model): typed Choice+Noul… - [api-evangelist/typesafe-ai](https://github.com/api-evangelist/typesafe-ai) - TypeSafe AI is a San Francisco AI lab building System One models — a class of… - [avnish-deobhakta/jev-clinical-calibration](https://github.com/avnish-deobhakta/jev-clinical-calibration) - Pre-registered evaluation of Jev 1.13 vs Claude Opus 5 (reasoning off) and Opus… - [Awesome-llms-labs/awesome-jev](https://github.com/Awesome-llms-labs/awesome-jev) - Awesome list for Jev — TypeSafe AI. - [BFLabsAI/bf-jev-deep-research](https://github.com/BFLabsAI/bf-jev-deep-research) - Agent Skill + estudo verbatim sobre a Jev (TypeSafe AI System One Model)… - [dfranco-projects/jev-guardbench](https://github.com/dfranco-projects/jev-guardbench) - Can a System One model (TypeSafe Jev, open-source Kev) replace an LLM-as-judge… - [gorock007/jev-atlas](https://github.com/gorock007/jev-atlas) - An independent, evidence-first field guide to Jev. - [jms-dcksn/uipath-jev-guardrail-connector](https://github.com/jms-dcksn/uipath-jev-guardrail-connector) - UiPath bring-your-own-guardrail connector backed by the TypeSafe Jev System One… - [lucast4049/openjev](https://github.com/lucast4049/openjev) - Run fast, calibrated, typed decisions on open System One models with a… - [systemonemodels/noulxp](https://github.com/systemonemodels/noulxp) - NoulXP (formerly OpenDXP): the open standard for System One models. - [uguremrah/jev-experiments](https://github.com/uguremrah/jev-experiments) - Hands-on experiments with Jev, TypeSafe. - [YaoApp/yao](https://github.com/YaoApp/yao) - ✨ All your agents and workspaces in one place, on every device you own. - [jev-chat/jev-chat-jarvis](https://github.com/jev-chat/jev-chat-jarvis) - 装在手机上的对话副驾：在 QQ / X / 飞书里读懂对方、给出候选回复、一键填入输入框，发不发由你。非侵入，只读屏幕，不 hook 不改包. - [reticlehq/reticle](https://github.com/reticlehq/reticle) - AI agents can generate code, but still struggle to understand what they build. - [kerpopule/hermes-jev-skills](https://github.com/kerpopule/hermes-jev-skills) - Jev-powered model routing, memory, compaction, skill selection, computer and… - [wy-coliney/jev-browser-use](https://github.com/wy-coliney/jev-browser-use) - 5–10x faster browser operations: Jev clicks, Codex thinks and verifies. - [Alex314618-create/JevRev](https://github.com/Alex314618-create/JevRev) - An LLM + Jev workflow that changes EVERYTHING. - [devagrawal09/jev-review](https://github.com/devagrawal09/jev-review) - A staged code-review workflow and local dashboard built with TypeSafe Jev. - [logicrw/awesome-jev-projects](https://github.com/logicrw/awesome-jev-projects) - Awesome Jev: source-backed open-source ecosystem radar, plain-language project… - [AnotiaWang/awesome-decision-models](https://github.com/AnotiaWang/awesome-decision-models) - A curated list of decision models (System One / typed decision models): hosted… - [kydlikebtc/awesome-jev](https://github.com/kydlikebtc/awesome-jev) - 1207 public resources for Jev, TypeSafe AI. - [angel291592/Intent-Router](https://github.com/angel291592/Intent-Router) - Intent compiler for AI agents — converges vague requests into typed IntentSpec… - [wuyoscar/jev-skill](https://github.com/wuyoscar/jev-skill) - An awesome collection of Jev use cases, workflows, and agent skills. - [jkudish/jev-mcp](https://github.com/jkudish/jev-mcp) - Fast, cheap, typed judgments from TypeSafe. - [walidboulanouar/awesome-jev-use-cases](https://github.com/walidboulanouar/awesome-jev-use-cases) - Awesome list of TypeSafe AI Jev use cases: 74 demos ranked by likes, 150+… - [BillionsBobby/JevRouter](https://github.com/BillionsBobby/JevRouter) - A lightweight Jev-powered router for models, tools, and subagents. - [malevrigns/agent-jev](https://github.com/malevrigns/agent-jev) - AgentJev-0.6B - a fast &#x27;System One&#x27; decision model for AI Agents: feed it any… - [Heman10x-NGU/openJev-verdict-2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0) - Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev &amp; Laya… - [vinilana/jev-gateway](https://github.com/vinilana/jev-gateway) - An easy way to use jev with your coding agent for tool calling reasoning. - [Devin-AXIS/jev-dsh-decision](https://github.com/Devin-AXIS/jev-dsh-decision) - Jev DSH 决策引擎｜面向 Agent Harness 的结构化决策插件. - [RomanSlack/jev-drone](https://github.com/RomanSlack/jev-drone) - Camera-only autonomous drone in MuJoCo with a small judgment model. - [Amal-David/awesome-jev](https://github.com/Amal-David/awesome-jev) - Jev demos, projects, SDKs and skills, with source links and a curated X gallery. - [fatwang2/awesome-jev](https://github.com/fatwang2/awesome-jev) - A source-backed Jev project directory with a reusable Jev-only GitHub review… - [tamaratran/jev-pruner](https://github.com/tamaratran/jev-pruner) - Claude Code plugin: trim long Bash output with TypeSafe Jev before the model… - [y0usaf/pi-jev](https://github.com/y0usaf/pi-jev) - TypeSafe Jev as a decision layer for the Pi coding agent: a measured tool-call… - [cookiespiggy/agentic-rl](https://github.com/cookiespiggy/agentic-rl) - Agentic RL 中文零基础教程（33 章）：从概念到 GRPO 实战，含 TRL 最小可跑示例；26–33… - [OmniJev/OneJev](https://github.com/OmniJev/OneJev) - 🚀🚀 A multimodal System One decision model that gives calibrated answers to… - [Avinash-jetwani/jevmem](https://github.com/Avinash-jetwani/jevmem) - Automatic project memory for Claude Code: decisions, rules and dead ends saved… - [openlayer-ai/jevals](https://github.com/openlayer-ai/jevals) - Agent evals and guardrails as Jev decisions: one request per trace, a fraction… - [PerryLink/jevcore](https://github.com/PerryLink/jevcore) - TypeSafe Jev for DeepSeek Harness, the Model Context Protocol, and plain Node… - [UditAkhourii/quicksilver](https://github.com/UditAkhourii/quicksilver) - Claude Code skill: hand bulk judgment calls to Jev. - [Bodila51/grok-bot-jev](https://github.com/Bodila51/grok-bot-jev) - Connect TypeSafe Jev to Grok Bot as a cheap decision layer - usage gates, skill… - [PyModel/jev-judge-mcp](https://github.com/PyModel/jev-judge-mcp) - Typed judgment tools for MCP agents. TypeSafe. - [thinkany-ai/autojev](https://github.com/thinkany-ai/autojev) - The model router for AI agents. - [yikangy873-gif/jev-desktop](https://github.com/yikangy873-gif/jev-desktop) - TypeSafe Jev action selection inside Codex Computer Use. - [luobosibing2/dsh-jev-plugin](https://github.com/luobosibing2/dsh-jev-plugin) - Native DeepSeek Harness (DSH) plugin integrating TypeSafe Jev as a System One… - [kyegomez/open-jev](https://github.com/kyegomez/open-jev) - an open-source, from-first-principles reconstruction of the ideas behind… - [iamaamir/system-one](https://github.com/iamaamir/system-one) - Provider-neutral System One runtime for TypeScript and Pi. - [Nisaka520/JevIntent](https://github.com/Nisaka520/JevIntent) - 微信（FkWeChat 插件）：长按消息分析意图 / 情绪 / 回复姿态，只在本机弹提示，对方无感知. - [TheoOliveira/pi-jev](https://github.com/TheoOliveira/pi-jev) - Semantic tool routing and typed System One decisions for the Pi coding agent… - [jonathanavis96/jev-kit](https://github.com/jonathanavis96/jev-kit) - Everything you need to run TypeSafe. - [intikhab49/open-jev-typed-decision-engine](https://github.com/intikhab49/open-jev-typed-decision-engine) - Open reproduction of TypeSafe Jev: a 150M typed decision engine… - [Shanghua-Gao/RSI-Jev](https://github.com/Shanghua-Gao/RSI-Jev) - Typed-decision models (noul / choice / score) trained by a self-improving loop… - [FrancoisChastel/jev-code](https://github.com/FrancoisChastel/jev-code) - Jev, TypeSafe. - [everyinfra/jev-radar](https://github.com/everyinfra/jev-radar) - 📡 全网最全 · The world. - [jomatsu/pi-jev-auto-mode](https://github.com/jomatsu/pi-jev-auto-mode) - Jev (TypeSafe System One) backed auto mode for the Pi coding agent… - [abhishek085/open-spark-jev](https://github.com/abhishek085/open-spark-jev) - Open-source, local decision models inspired by TypeSafe. - [anandi1989/awesome-jev-usecases](https://github.com/anandi1989/awesome-jev-usecases) - Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases… - [0x7067/claude-jev](https://github.com/0x7067/claude-jev) - Claude Code plugin: Jev for rule checks, verbatim compaction, and prompt routing. - [kouhxp/gutsy](https://github.com/kouhxp/gutsy) - Local decision model with calibrated probabilities: send a state and yes/no… - [iamtoomas/JevLint](https://github.com/iamtoomas/JevLint) - Configurable semantic linting powered by Jev, with file-level NOUL judgments… - [jesset/pi-verdict](https://github.com/jesset/pi-verdict) - A minimal permission gate for Pi in the style of Claude Code. - [lawrence3699/jev-style](https://github.com/lawrence3699/jev-style) - Small, calibrated decision models on your own machine: systemone-compatible… - [assistant-ui/jevia](https://github.com/assistant-ui/jevia) - outcome-aware &amp; adaptive model routing for coding agents with deterministic… - [daftAI2026/awesome-jev](https://github.com/daftAI2026/awesome-jev) - Curated TypeSafe Jev / System One GitHub projects, open-source alternatives… - [ismaelsoilet/jev-harness](https://github.com/ismaelsoilet/jev-harness) - Zero-dependency System One decision harness: 5 semantic gates saving frontier… - [caiovicentino/jev-risk-check-provider](https://github.com/caiovicentino/jev-risk-check-provider) - x402 risk-check provider: signed pre-payment verdicts — OFAC, phishing feeds… - [zhangxaochen/dsh-jev](https://github.com/zhangxaochen/dsh-jev) - Jev (System One decision model) plugin suite for DeepSeek Harness (dsh). - [ajensenwaud/hermes-jev-plugin](https://github.com/ajensenwaud/hermes-jev-plugin) - TypeSafe Jev (System One) decision tools for Hermes Agent: jev_check /… - [inso1337/revl](https://github.com/inso1337/revl) - A language for safe, universal spatiotemporal composability (Cordis paradigm)… - [jackie-cqz/dsh-jev-plugin](https://github.com/jackie-cqz/dsh-jev-plugin) - DeepSeek Harness plugin for TypeSafe Jev: typed decisions, configurable… - [ranjan2829/AskJev](https://github.com/ranjan2829/AskJev) - AskJev — Jev autopilot for any website + guard on irreversible clicks. - [backant-io/jevelry](https://github.com/backant-io/jevelry) - Use Jev everywhere to make &amp; track decisions. - [Jessie-QingYu/jev-in-the-wild](https://github.com/Jessie-QingYu/jev-in-the-wild) - Real-world Jev use cases, open-source projects, benchmarks and criticism — what… - [justhalfbit/dsh-plugin-jev-effort-selector](https://github.com/justhalfbit/dsh-plugin-jev-effort-selector) - DeepSeek Harness (DSH) 推理等级自动选择插件：由 Jev System One… - [karanb192/jev-architect](https://github.com/karanb192/jev-architect) - Find, design, and evaluate TypeSafe Jev decision loops. - [paramjeetn/jev-cookbook](https://github.com/paramjeetn/jev-cookbook) - The complete cookbook for Jev by TypeSafe AI — 120+ use cases, 10 runnable… - [ckorhonen/jev-lint](https://github.com/ckorhonen/jev-lint) - A fuzzy linter for coding agents. It checks the code your agent writes against… - [jkudish/jev-agent-tools](https://github.com/jkudish/jev-agent-tools) - Jev transport/provider layer: multi-provider transport layer that supports… - [ntlm1686/Your-language-model-is-already-a-decision-model](https://github.com/ntlm1686/Your-language-model-is-already-a-decision-model) - We compared unfinetuned Qwen with Jev on decision accuracy, calibration, and… - [vij-sameerb5/JevX](https://github.com/vij-sameerb5/JevX) - When and Where Actually to use Jev in your code base. - [buluoray/JevOnly](https://github.com/buluoray/JevOnly) - Pure Jev that can &quot;type&quot; and drive towards task completion. - [n23eos/jev-skills](https://github.com/n23eos/jev-skills) - Jev-powered decision skills for Claude Code and Codex. - [org2AI/wald-4b](https://github.com/org2AI/wald-4b) - Wald-Q4B: open-weight 4B decision model. - [abhishekashokvkumar/jev-mcp-dispatcher](https://github.com/abhishekashokvkumar/jev-mcp-dispatcher) - Natural-language MCP tool dispatcher powered entirely by TypeSafe. - [bgrablin/hermes-switchyard](https://github.com/bgrablin/hermes-switchyard) - Jev for Hermes: skill discovery, multi-skill advice, adaptive reasoning effort… - [Charlyhno-eng/jev-codex-pilot](https://github.com/Charlyhno-eng/jev-codex-pilot) - Smart Codex overlay featuring JEV-model-based routing, contextual optimization… - [lgy1027/jevshield](https://github.com/lgy1027/jevshield) - Sub-100ms security gate for AI agent tool calls, powered by TypeSafe. - [pCwOrM/werr](https://github.com/pCwOrM/werr) - Zero-memory System-1 decision engine &amp; TypeSafe Jev wire-compatible runtime… - [simota/tenbin](https://github.com/simota/tenbin) - MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose… - [trietphan/jev-claw](https://github.com/trietphan/jev-claw) - Typed model routing for OpenClaw agents, powered by TypeSafe Jev. - [123wwwa/JevTrace](https://github.com/123wwwa/JevTrace) - An MCP server that cuts coding-agent token usage by retrieving only the… - [deepansh-saxena/jev-guardrails](https://github.com/deepansh-saxena/jev-guardrails) - Comparing LLM-as-judge vs TypeSafe Jev for agent guardrails: same rules, same… - [ismaildasci/claude-referee](https://github.com/ismaildasci/claude-referee) - Evidence over eloquence. Unofficial Claude Code plugin that checks &quot;done&quot;… - [kdcadmin/jev-decision-kit](https://github.com/kdcadmin/jev-decision-kit) - 一个只负责技能，MCP，skill，插件筛选的jev模型，也能管理技能，MCP，skill和插件. - [laguagu/jev-skills](https://github.com/laguagu/jev-skills) - Practical agent skills and examples for building with Jev. - [MongLong0214/jev-gate](https://github.com/MongLong0214/jev-gate) - Not every coding task needs your best model. - [nanami-0713/dsh-jev-decide](https://github.com/nanami-0713/dsh-jev-decide) - DSH plugin: register TypeSafe Jev (System One decision model) as an agent tool… - [NekomyaDev/nudge](https://github.com/NekomyaDev/nudge) - A typed, replayable, budget-aware programming language for LLM agents. - [noetion/dsh-jev](https://github.com/noetion/dsh-jev) - DSH bundle that registers jev_ask for TypeSafe Jev noul, choice, and score… - [SoniaMehta14/paved-gate](https://github.com/SoniaMehta14/paved-gate) - Fast System 1 ingestion gate for AI agent architectures: typed safety, routing… - [statico/jev-nethack](https://github.com/statico/jev-nethack) - TypeSafe. - [wangkuangkuang/jev-mcp-server](https://github.com/wangkuangkuang/jev-mcp-server) - MCP server for Jev (TypeSafe System One): the three official question types… - [1aifanatic/jev-uipath-coded-agent](https://github.com/1aifanatic/jev-uipath-coded-agent) - FINS demo: a UiPath coded agent for AML alert triage where every decision is… - [aitofy-dev/jev-awesome-skills](https://github.com/aitofy-dev/jev-awesome-skills) - Open-source Jev skills for Claude Code, Codex, Cursor, and Grok. - [cnrai/openpave-jev](https://github.com/cnrai/openpave-jev) - PAVE skill for non-autoregressive decision models (Jev / Laya / TypeSafe)… - [darwintechlab/claude-jev](https://github.com/darwintechlab/claude-jev) - Jev System One for Claude Code — typed Choice/Noul/Score via live TypeSafe API… - [jevplays-games/jev-factorio-agent](https://github.com/jevplays-games/jev-factorio-agent) - Jev picks what, code owns how - a System One Factorio agent driven by… - [jms-dcksn/jev-pii-guardrail](https://github.com/jms-dcksn/jev-pii-guardrail) - A UiPath coded agent with a custom PII detection guardrail on the LLM boundary… - [mywwave/cursor-jev](https://github.com/mywwave/cursor-jev) - Cursor plugin that routes subagents with TypeSafe Jev and exposes Choice… - [qualixar/jev-decision-layer](https://github.com/qualixar/jev-decision-layer) - Open-source decision layer for AI agents. - [rahilmavani/piedpiper-jev-buildathon](https://github.com/rahilmavani/piedpiper-jev-buildathon) - Team piedpiper: failproofai + Jev guardrails that stop the Helix IT agent from… - [robokrunch/awesome-jev](https://github.com/robokrunch/awesome-jev) - A curated list of resources for Jev — TypeSafe AI. - [samtay32/jev-system-architect](https://github.com/samtay32/jev-system-architect) - System-architecture skill for TypeSafe AI Jev/System One — find fuzzy semantic… - [silex-ai-lab/jev-runtime-observability](https://github.com/silex-ai-lab/jev-runtime-observability) - Real-time agent observability with a Jev-protocol judge. - [yctimlin/JevScout](https://github.com/yctimlin/JevScout) - Jev decides what reaches your coding agent: verbatim, recoverable context for… - [adamwdff/jev-gate](https://github.com/adamwdff/jev-gate) - WorkBuddy UserPromptSubmit hook: judge each prompt with TypeSafe System One… - [bhanuprakashk90-tech/jev-agent-guardrail](https://github.com/bhanuprakashk90-tech/jev-agent-guardrail) - A real-time safety guardrail and interactive monitoring dashboard for AI agent… - [bismawy/pi-jev-eye](https://github.com/bismawy/pi-jev-eye) - Ultra-lean supervisor for Pi: zero-token regex guardrails, test verification… - [charetterat/awesome-jev-essentials](https://github.com/charetterat/awesome-jev-essentials) - The Jev projects actually worth your time — picked, compared, kept current. - [ctaxnagomi/instruct-jev](https://github.com/ctaxnagomi/instruct-jev) - INSTRUCT_JEV - TypeSafe AI Jev / System One instruction corpus… - [demircigoksu/jev-netlify-mcp](https://github.com/demircigoksu/jev-netlify-mcp) - Free, key-locked TypeSafe Jev via Netlify AI Gateway, plus an MCP server for… - [Faizullah9181/jev-esketcher](https://github.com/Faizullah9181/jev-esketcher) - Generative painting canvas where Jev, TypeSafe. - [G0-0000/pi-subagent-jev](https://github.com/G0-0000/pi-subagent-jev) - A pi package that gates subagent dispatches through a JEV System One decision… - [HinkoK/hermes-jev-router](https://github.com/HinkoK/hermes-jev-router) - Jev picks the model for every Hermes Agent message: light → GPT-6 Luna… - [Hyper-AI-Lab/codex-jev](https://github.com/Hyper-AI-Lab/codex-jev) - Evidence selection and quota-aware recovery for Codex. - [JoaoClemer/jev-lab](https://github.com/JoaoClemer/jev-lab) - O Jev (TypeSafe AI) como guardrail em tempo real e como pré-avaliador de… - [JYeswak/jev_playground](https://github.com/JYeswak/jev_playground) - Measure what Jev can actually do before you build on it. - [kitoutou999/firefox-jev-mcp](https://github.com/kitoutou999/firefox-jev-mcp) - Serveur MCP pour piloter Firefox avec Claude : Jev (TypeSafe) choisit les… - [majiayu000/awesome-jev](https://github.com/majiayu000/awesome-jev) - A curated list of Jev / TypeSafe System One projects, SDKs, tutorials, and… - [MojoAI-King/jev-paper-trader](https://github.com/MojoAI-King/jev-paper-trader) - Paper trading real Polymarket and Kalshi markets with a fake $100k: can Jev +… - [nanoDBA/jev-agent-kit](https://github.com/nanoDBA/jev-agent-kit) - A typed judgment layer for Claude Code, Codex and Hermes Agent using TypeSafe. - [nedzen/jev-terminal-browser-driver](https://github.com/nedzen/jev-terminal-browser-driver) - Hermes plugin: drive and read a visible terminal-browser tab with Jev typed… - [omni-/ask-jev](https://github.com/omni-/ask-jev) - Utilizing Jev, the RLCD-type model provided by TypeSafe AI, to independently… - [pedroknigge/mcp_jev](https://github.com/pedroknigge/mcp_jev) - Open MCP server to run TypeSafe Jev (System One) packs locally — Choice / Noul… - [pochang6/jev-buzzword-rush](https://github.com/pochang6/jev-buzzword-rush) - A 25-second IT buzzword game to feel how fast and cheap Jev. - [SuperInstance/jev-quilt](https://github.com/SuperInstance/jev-quilt) - JEV for quilt as understood output: cellular-first decision substrate — typed… - [xienda/dsh-jev-verify](https://github.com/xienda/dsh-jev-verify) - Jev (TypeSafe System One) for DeepSeek Harness: five verdict tools… - [abgregs/jev-skill-router](https://github.com/abgregs/jev-skill-router) - Jev-powered skill router for coding agents — one Noul per skill, sharded in… - [abhinavmunagala/jev-router-agent](https://github.com/abhinavmunagala/jev-router-agent) - Intelligent task router using TypeSafe. - [abyakod/JEV_ADK](https://github.com/abyakod/JEV_ADK) - Agent Development Kit for System-One AI: Sub-100ms non-autoregressive decision… - [aleksvega/jev-stack](https://github.com/aleksvega/jev-stack) - One command (npx jev-stack) to install the Jev-powered agent toolset: context… - [alexdoandev/jev-laya-dsh](https://github.com/alexdoandev/jev-laya-dsh) - User → Jev(Laya) → Agent — System-1 decision layer for DeepSeek Harness: local… - [AlienXc137/Support-Ticket-Ai-Agent-with-RAG-Guardrails-and-Jev](https://github.com/AlienXc137/Support-Ticket-Ai-Agent-with-RAG-Guardrails-and-Jev) - An agent that reads incoming student queries (email/WhatsApp/form text)… - [BarakChamo/jev-kit](https://github.com/BarakChamo/jev-kit) - Get coding agents to write Jev questions that work the first time: rules… - [bpmforbusiness/jev-agent-harness](https://github.com/bpmforbusiness/jev-agent-harness) - Jev (TypeSafe AI System One) agent harness guide + video manual — from the… - [BrayanperezBalladares/jev-agent-routing-lab](https://github.com/BrayanperezBalladares/jev-agent-routing-lab) - Experimental evaluation of Jev as a semantic decision router for… - [BuildHub-Global/OpenJEV](https://github.com/BuildHub-Global/OpenJEV) - Vendor-neutral execution routing and verification framework for AI agents… - [Capitalofgeorgiapolitician1569/mobile-jev](https://github.com/Capitalofgeorgiapolitician1569/mobile-jev) - Automate real Android tasks on live phones with Jev, Mobilerun, and TypeSafe—no… - [confident-christmasfactor2015/jev-ultrafast-mcp](https://github.com/confident-christmasfactor2015/jev-ultrafast-mcp) - Delegate browser operations to an ultra-fast MCP server, executing full page… - [danekkalivoda/jev-skill](https://github.com/danekkalivoda/jev-skill) - Agent skill: route subagent tasks to the cheapest capable model via TypeSafe Jev. - [dansya-arsana/jev-harness](https://github.com/dansya-arsana/jev-harness) - Jev (TypeSafe) as the decision layer for Claude Code: permission gate, skill… - [daraujo85/jev-claude-engine](https://github.com/daraujo85/jev-claude-engine) - Sub-300ms JEV System One decision engine for Claude Code, Codex, OpenCode &amp; AGY… - [DavidSilvaProg/laboratorio-jev-fatec](https://github.com/DavidSilvaProg/laboratorio-jev-fatec) - Laboratório didático JEV: Choice, Noul e Score com comparação ao Claude Opus 5.5. - [Donatasramanauskas007/open-jev](https://github.com/Donatasramanauskas007/open-jev) - Score options in one pass with Gemma 3 4B on MLX or PyTorch, no decoding, for… - [duketopceo/jev-compact](https://github.com/duketopceo/jev-compact) - Context compaction for agent harnesses: a decision model scores transcript… - [eitaar/jev-skill-router](https://github.com/eitaar/jev-skill-router) - Semantic skill routing for Pi, powered by Jev. - [frederico-kluser/jev-agent-skill](https://github.com/frederico-kluser/jev-agent-skill) - Decisões tipadas em milissegundos com o Jev (System One da TypeSafe) via… - [gaunasahoo/Jev-Model-Direct-Approach](https://github.com/gaunasahoo/Jev-Model-Direct-Approach) - Jev Model Direct Approach-Reinforcement Learning for Calibrated Decisions (RLCD). - [gbesse/figma-jev-review](https://github.com/gbesse/figma-jev-review) - Review selected Figma copy with typed Jev criteria and exact TextNode citations. - [gbesse/jev-mistral-reflex](https://github.com/gbesse/jev-mistral-reflex) - Aiguille les décisions bornées vers Jev et confie les demandes ouvertes à un… - [gbesse/jev-proxy](https://github.com/gbesse/jev-proxy) - Policy firewall for MCP tool calls with one-time human approvals and JSONL… - [gbesse/roblox-jev-studio](https://github.com/gbesse/roblox-jev-studio) - Review selected Roblox Studio Instances with typed Jev criteria and exact… - [gbesse/saleor-jev-catalog-review](https://github.com/gbesse/saleor-jev-catalog-review) - Jev decision review for Saleor product webhooks. - [gbesse/temporal-jev-decisions](https://github.com/gbesse/temporal-jev-decisions) - Bounded Jev Activities and deterministic Workflow examples for Temporal. - [gbesse/wordpress-jev-rules](https://github.com/gbesse/wordpress-jev-rules) - WordPress Playground validation for the PHP plugin. - [hdjekuue/awesome-jev](https://github.com/hdjekuue/awesome-jev) - The self-updating, trilingual directory of everything built on Jev. - [ia-automation/How-to-use-JEV](https://github.com/ia-automation/How-to-use-JEV) - Como usar o Jev (TypeSafe System One): conhecimento, skills e exemplos medidos… - [jipika/dsh-jev-grep](https://github.com/jipika/dsh-jev-grep) - Search-flood adjudication plugin for DeepSeek Harness: ripgrep + TypeSafe Jev… - [Juniebentonitic2834/NanoJev](https://github.com/Juniebentonitic2834/NanoJev) - Build a 0.6B parallel decision model that turns states into probability… - [JWE24-code/dsh-jev-loop](https://github.com/JWE24-code/dsh-jev-loop) - Jev (TypeSafe System One) judgments at the DeepSeek Harness agent-loop gates. - [karthik-bommineni/tool-routing-experiment-with-jev](https://github.com/karthik-bommineni/tool-routing-experiment-with-jev) - An experiment about the cost-savings in an enterprise level AI Agent using Jev. - [louis-szeto/open-jev-bridge](https://github.com/louis-szeto/open-jev-bridge) - MCP plugin to connect jev-like system one API (local hosted or typesafe jev) to… - [Mfrostbutter/jev-n8n-patterns](https://github.com/Mfrostbutter/jev-n8n-patterns) - Jev (TypeSafe System One) patterns in n8n: PII screening, agent and… - [nik1tsyganov/jev-mcp](https://github.com/nik1tsyganov/jev-mcp) - MCP stdio servers for TypeSafe Jev typed judgments and a separate local… - [Roarpeng/jev-civ6](https://github.com/Roarpeng/jev-civ6) - Jev × Civilization VI war-room: LLM-decided autopilot driving Civ6 via… - [seulkikaang/jev-emoji-claude-lesson](https://github.com/seulkikaang/jev-emoji-claude-lesson) - Developer preview: macOS menu bar app that suggests emoji with TypeSafe Jev… - [Shalimov04/open-jev](https://github.com/Shalimov04/open-jev) - Distil a prompt into a small, fast, calibrated classifier. - [shoemoney/jev-the-spire2](https://github.com/shoemoney/jev-the-spire2) - An agent plays Slay the Spire 2. Single-call factored decisions via TypeSafe… - [ShunL12324/jev-browser-use](https://github.com/ShunL12324/jev-browser-use) - Chrome extension and MCP bridge with TypeSafe Jev browser experiments. - [thegreystone/jmc-jev-mcp](https://github.com/thegreystone/jmc-jev-mcp) - An MCP server that judges JDK Flight Recorder recordings using TypeSafe. - [themsquared/jev-calibration](https://github.com/themsquared/jev-calibration) - Is TypeSafe AI. - [Tlkh201313/fusion-jev](https://github.com/Tlkh201313/fusion-jev) - Local coding evidence and optional guarded TypeSafe Jev choices for MCP hosts. - [Tokol/DecisionServiceJev](https://github.com/Tokol/DecisionServiceJev) - Reusable UiPath decision-support service powered by TypeSafe AI Jev, providing… - [Trevorton27/jev-ops](https://github.com/Trevorton27/jev-ops) - ● AI Decision Reliability Control Plane — evaluates autonomous agent actions… - [VBS2004/jev-questions-skill](https://github.com/VBS2004/jev-questions-skill) - Claude Code skill: designing typed Noul/Choice/Score questions for Jev /… - [victorperr/jev-mcp-elicitation-autopilot](https://github.com/victorperr/jev-mcp-elicitation-autopilot) - Test MCP servers&#x27; human-in-the-loop flows in CI, using TypeSafe&#x27;s Jev as a… - [vijaybhanu/jev-vs-llm-decisions](https://github.com/vijaybhanu/jev-vs-llm-decisions) - Jev (System One decision model) vs an LLM on an expense-approval workflow… - [vinaychawla-ops/jev-adk-guardrail-example](https://github.com/vinaychawla-ops/jev-adk-guardrail-example) - Jev (TypeSafe decision model) as a risk guardrail inside a Google ADK agent. - [vitas/dsh-jev-subagent-dispatch](https://github.com/vitas/dsh-jev-subagent-dispatch) - Cut LLM costs: route routine tasks to cheap subagent models. - [weiping/jev-claude-code](https://github.com/weiping/jev-claude-code) - Claude Code plugin that puts TypeSafe Jev in the agent loop: permission gate… - [weiping/jev-pi](https://github.com/weiping/jev-pi) - Jev for pi: TypeSafe System One judgments in the agent loop — permission gate… - [xingzhen199186/dsh-jev-ultrafast](https://github.com/xingzhen199186/dsh-jev-ultrafast) - A DeepSeek Harness plugin: one decision per step drives a real browser. - [xlennart/dsh-auto-review-jev](https://github.com/xlennart/dsh-auto-review-jev) - DeepSeek Harness 审批守护者：权限请求先由审查模型裁决。内置 System One 决策 API 后端. - [yangzhou-chaofan/awesome-jev-prompt](https://github.com/yangzhou-chaofan/awesome-jev-prompt) - latest top 100 showcases for jev (keep updating) from x / github / latest… - [yfe404/jev-harness](https://github.com/yfe404/jev-harness) - Auditable decision gates for Claude Code and Pi, with offline examples and… - [yhdhappy/JEV-Model-Router](https://github.com/yhdhappy/JEV-Model-Router) - JEV Model Router: task-aware AI model routing for agent-driven development. - [Yomiamy/jev-mobile-mcp](https://github.com/Yomiamy/jev-mobile-mcp) - a mcp by jev decision and ocr detection for device testing. - [yuhai-china/JEV-27B-DEMO](https://github.com/yuhai-china/JEV-27B-DEMO) - JEV-27B demos: one engine, two systems. - [ZeroX-01/jev-atlas](https://github.com/ZeroX-01/jev-atlas) - Continuously updated public index of real TypeSafe JEV projects, videos… - [rmalde/minecraft-agent](https://github.com/rmalde/minecraft-agent) - Astra planner and JEV controller for Minecraft, with native recording, tested… - [notque/vexjoy-agent](https://github.com/notque/vexjoy-agent) - VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English… - [itsmostafa/system-one-connector](https://github.com/itsmostafa/system-one-connector) - System One MCP connector to evaluate anything fast and cheap. - [alanhuangyoo/wev](https://github.com/alanhuangyoo/wev) - Local System-One decision models: typed questions in, calibrated probabilities… - [keeltrace/hermes-nerve](https://github.com/keeltrace/hermes-nerve) - Nerve is a supervisory nervous system for Hermes agents, adding typed System… - [Mawfyy/jevflow](https://github.com/Mawfyy/jevflow) - Probabilistic AI decisions as composable backend primitives — typed judgments… - [darwintechlab/openjev](https://github.com/darwintechlab/openjev) - OpenJev: An Opencode plugin that replaces text-generation decisions with Jev… - [everafterlabs/jes](https://github.com/everafterlabs/jes) - Open-source guardrails for AI agents powered by decision models like Jev; - [47vigen/catherd](https://github.com/47vigen/catherd) - Herds coding agents: autopilot builds from your own Claude Code session… - [kaustav1996/reflex](https://github.com/kaustav1996/reflex) - A coding agent and personal assistant with System One reflexes (TypeSafe Jev)… - [tamnd/kime](https://github.com/tamnd/kime) - Typed decisions over text in milliseconds. - [bhavikprit/instinct-ai](https://github.com/bhavikprit/instinct-ai) - ⚡ Universal System-1 AI Runtime &amp; Dual-Brain Gateway. - [jon-devlapaz/tink-route](https://github.com/jon-devlapaz/tink-route) - Dynamic, confidence-aware Agent Skill routing with TypeSafe Jev and Tink. - [tinyhumansai/tinycomputer](https://github.com/tinyhumansai/tinycomputer) - Decision model (JEV) based harness to perform Desktop &amp; Browser automation. - [HiepPP/hiep-paseo-plugin](https://github.com/HiepPP/hiep-paseo-plugin) - Local Paseo plugin exposing Jev evaluations through MCP. - [lcbkmm/laya-thalamus](https://github.com/lcbkmm/laya-thalamus) - A System1 decision orchestrator for AI agents. </details> <a id="routing-guardrails"></a> ## Routing, guardrails and approvals The production-shaped use case — send each request to the cheapest model that can actually handle it, and keep a deterministic check on the outcome. <details> <summary>🛡️ <b><a href="https://github.com/NandhaKishorM/laya">NandhaKishorM/laya</a></b> · ⭐30121 · Python · 👁️ observed · 0d · ⭐+32</summary> ##### 📝 Summary Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request. _{🔧 Found used in code: `research/benchmarks/feishu_zh/run.py`} ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | --------------- | | Stars | **30121** (+32) | | Last push | 2026-10-02 | | First listed | 2026-09-23 | 🏷 `calibration` · `classification` · `decision-model` · `huggingface` · `jev` · `modernbert` · `multilingual` · `nlp` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/nandhakishorm--laya/e01e49f0d842b461.png" width="100%" alt="NandhaKishorM/laya screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🛡️ <b><a href="https://github.com/HarnessRouter/SystemOneHarness">HarnessRouter/SystemOneHarness</a></b> · ⭐190 · Python · 👁️ observed · 11d</summary> ##### 📝 Summary The System One harness for System One models. Run Jev and other System One models locally or directly on HarnessRouter.ai. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **190** | | Last push | 2026-09-21 | | First listed | 2026-09-20 | 🏷 `harness` · `harness-engineering` · `system-one-harness` · `system-one-models` </details> <details> <summary>🛡️ <b><a href="https://github.com/Dicklesworthstone/skillranker">Dicklesworthstone/skillranker</a></b> · ⭐127 · Rust · 👁️ observed · 0d</summary> ##### 📝 Summary Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key. > 💡 Ranks agent skills with a typed decision. A useful model for any 'choose among N candidates' problem that was previously a prompt. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `observed` | | Language | Rust | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **127** | | Last push | 2026-10-01 | | First listed | 2026-09-18 | 🏷 `agent-skills` · `ai-agents` · `asupersync` · `claude-code` · `cli` · `developer-tools` · `frankentui` · `jev` </details> <details> <summary>🛡️ <b><a href="https://github.com/choxos/jevchess">choxos/jevchess</a></b> · ⭐6 · JavaScript · 👁️ observed · 12d</summary> ##### 📝 Summary Jev, TypeSafe's System One model, plays chess against any OpenRouter LLM, Stockfish and you. One-page web app with live moves, Jev's move probabilities, saved games and win rates. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `observed` | | Language | JavaScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **6** | | Last push | 2026-09-20 | | First listed | 2026-09-30 | 🏷 `ai-benchmark` · `chess` · `chess-ai` · `javascript` · `jev` · `llm` · `openrouter` · `stockfish` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/choxos--jevchess/79bfe0b56d9171a0.jpg" width="100%" alt="choxos/jevchess screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/choxos--jevchess/85b5a7320b4978a5.gif" width="100%" alt="choxos/jevchess animation"><br>_{animated recording · <a href="https://raw.githubusercontent.com/choxos/jevchess/main/documentation/tour.mp4">Open video</a>}</td> </tr></table> </details> <details> <summary>🛡️ <b><a href="https://github.com/Sarim-MBZUAI/awesome-jev-security">Sarim-MBZUAI/awesome-jev-security</a></b> · ⭐6 · 👁️ observed · 1d</summary> ##### 📝 Summary Curated list of papers on the security, robustness, and safety of TypeSafe Jev / System One models ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **6** | | Last push | 2026-10-01 | | First listed | 2026-10-01 | </details> <details> <summary>🛡️ <b><a href="https://github.com/dperezcabrera/ai-chess-lab">dperezcabrera/ai-chess-lab</a></b> · ⭐3 · Python · 👁️ observed · 0d</summary> ##### 📝 Summary Chess against Jev, TypeSafe AI's System One model, through OpenRouter. Built with the pico framework. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **3** | | Last push | 2026-10-02 | | First listed | 2026-10-02 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/dperezcabrera--ai-chess-lab/d4676a3d6b5e3c60.png" width="100%" alt="dperezcabrera/ai-chess-lab screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🛡️ <b><a href="https://github.com/dharmeshgurnani/CodeOtter">dharmeshgurnani/CodeOtter</a></b> · ⭐2 · TypeScript · 👁️ observed · 0d</summary> ##### 📝 Summary Autonomous, self-hosted AI code reviews, calibrated scoring gauges, and merge gates from any open model. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `observed` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **2** | | Last push | 2026-10-02 | | First listed | 2026-09-28 | 🏷 `code` · `coderabbit` · `jev` · `open-source` · `self-hosted` · `system-one` · `system-one-models` · `trending` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/dharmeshgurnani/CodeOtter/main/assets/banners/dual-engine.jpg" width="100%" alt="dharmeshgurnani/CodeOtter screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> _{Asset hot-linked from the upstream repository because no redistribution licence was declared.} </details> <details> <summary>🛡️ <b><a href="https://github.com/qddegtya/qualm">qddegtya/qualm</a></b> · ⭐2 · TypeScript · 👁️ observed · 1d</summary> ##### 📝 Summary Typed decisions from a System One model, where uncertainty is something you have to handle. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `observed` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **2** | | Last push | 2026-10-01 | | First listed | 2026-10-01 | 🏷 `ai` · `classification` · `decision-making` · `esm` · `jev` · `llm` · `system-one` · `type-safety` </details> <details> <summary>🛡️ <b><a href="https://github.com/alperenerol/jev-1.13-mini-benchmark">alperenerol/jev-1.13-mini-benchmark</a></b> · ⭐1 · Python · 👁️ observed · 3d</summary> ##### 📝 Summary Mini benchmark of TypeSafe's jev-1.13 structured decision model (OpenRouter Decisions API) on labeled support-triage: noul/choice/score, consistency, cost, lessons learned ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-09-29 | | First listed | 2026-09-20 | </details> <details> <summary>🛡️ <b><a href="https://github.com/creativoma/here-we-go-jev">creativoma/here-we-go-jev</a></b> · ⭐1 · TypeScript · 👁️ observed · 5d</summary> ##### 📝 Summary Local playground and test bench for TypeSafe's Jev System One model: typed questions, calibrated-probability answers, and side-by-side comparison with an LLM baseline. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `observed` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-09-26 | | First listed | 2026-09-27 | 🏷 `ai` · `bun` · `calibration` · `classification` · `evaluation` · `jev` · `llm` · `openrouter` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/creativoma--here-we-go-jev/f20f69b2c57adbc8.png" width="100%" alt="creativoma/here-we-go-jev screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🛡️ <b><a href="https://github.com/ryok/jev-calibration-lab">ryok/jev-calibration-lab</a></b> · Python · 👁️ observed · 4d</summary> ##### 📝 Summary Measuring calibration of TypeSafe Jev (jev-1.13) via OpenRouter ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-09-28 | | First listed | 2026-09-28 | </details> <details> <summary>🛡️ <b><a href="https://github.com/SuperInstance/typesafe-quilts">SuperInstance/typesafe-quilts</a></b> · JavaScript · 👁️ observed · 2d</summary> ##### 📝 Summary System One as judge: calibration battery + routing judgments + the judge protocol for quilt lanes. Live jev-1.13.0. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `observed` | | Language | JavaScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-09-30 | | First listed | 2026-09-30 | </details> <details> <summary>🛡️ <b><a href="https://github.com/kenhuangus/jev-usecases">kenhuangus/jev-usecases</a></b> · ⭐18 · Python · 🔎 inferred · 11d</summary> ##### 📝 Summary Production TypeSafe Jev (System One) use-case harnesses with confidence-gated decision logic ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **18** | | Last push | 2026-09-21 | | First listed | 2026-09-20 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/kenhuangus--jev-usecases/be919255190f6495.png" width="100%" alt="kenhuangus/jev-usecases screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🛡️ <b><a href="https://github.com/gaborishka/jev-canvas">gaborishka/jev-canvas</a></b> · ⭐13 · JavaScript · 🔎 inferred · 13d</summary> ##### 📝 Summary Draw on a tldraw canvas with your voice and a pointing finger. Jev (TypeSafe System One) decides action, target and place in ~350 ms per spoken word. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `inferred` | | Language | JavaScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **13** | | Last push | 2026-09-19 | | First listed | 2026-09-23 | 🏷 `hand-tracking` · `jev` · `mediapipe` · `openrouter` · `tldraw` · `typesafe` · `voice-control` · `web-speech-api` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/gaborishka--jev-canvas/15924c327747cb97.gif" width="100%" alt="gaborishka/jev-canvas screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/gaborishka--jev-canvas/15924c327747cb97.gif" width="100%" alt="gaborishka/jev-canvas animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary>🛡️ <b><a href="https://github.com/rupeshpoojary9/poorjev">rupeshpoojary9/poorjev</a></b> · ⭐10 · Python · 🔎 inferred · 11d</summary> ##### 📝 Summary Open-source, local Jev alternative: a System One decision layer with provably calibrated confidence (ECE 0.170→0.071). Typed decisions, runs offline, no API key, no waitlist. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **10** | | Last push | 2026-09-21 | | First listed | 2026-09-21 | 🏷 `calibration` · `classification` · `conformal-prediction` · `jev` · `jev-alternative` · `llm` · `llm-guardrails` · `local-llm` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/rupeshpoojary9--poorjev/c5e0e3beebd5391e.png" width="100%" alt="rupeshpoojary9/poorjev screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🛡️ <b><a href="https://github.com/eulogik/nirnay">eulogik/nirnay</a></b> · ⭐8 · Python · 🔎 inferred · 1d</summary> ##### 📝 Summary NIRNAY 450M: open-weight calibrated decision model (Apache-2.0). Banking77 intent classification 87.9%, fitted ECE 0.045. Laya fork plus concept bottleneck, coarse-to-fine pointer and RLCD. Built by Eulogik. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **8** | | Last push | 2026-10-01 | | First listed | 2026-10-01 | 🏷 `apache-2-0` · `banking77` · `calibration` · `concept-bottleneck` · `decision-model` · `edge-ai` · `eulogik` · `guardrails` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/eulogik--nirnay/c1cd358b725e86cd.png" width="100%" alt="eulogik/nirnay screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🛡️ <b><a href="https://github.com/umstek/zero-shot-ie-bench">umstek/zero-shot-ie-bench</a></b> · ⭐4 · Python · 🔎 inferred · 0d · **NEW**</summary> ##### 📝 Summary 38 zero-shot information-extraction & classification systems across 23 families — extractors, classifiers, cross-encoder rerankers and typed-decision engines, local + hosted (OpenRouter) — demos, accuracy/latency/cost benchmarks, 9-language suite, web UI ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **4** | | Last push | 2026-10-02 | | First listed | 2026-10-03 | 🏷 `benchmark` · `decision-engine` · `gliner` · `information-extraction` · `jev` · `model-evaluation` · `multilingual` · `named-entity-recognition` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/umstek--zero-shot-ie-bench/3a32dd79c8f4c60c.png" width="100%" alt="umstek/zero-shot-ie-bench screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🛡️ <b><a href="https://github.com/tomek7667/cbjev">tomek7667/cbjev</a></b> · ⭐3 · Python · 🔎 inferred · 7d</summary> ##### 📝 Summary Typed decisions (choice/score/noul) from one encoder pass - faster, better-calibrated successor to Laya, Jev wire compatible ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------- | | Category | `Routing, guardrails and approvals` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **3** | | Last push | 2026-09-24 | | First listed | 2026-09-29 | 🏷 `calibration` · `classification` · `decision-model` · `jev` · `laya` · `llm-guardrails` · `modernbert` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/tomek7667--cbjev/7d6e335fad72f90b.png" width="100%" alt="tomek7667/cbjev screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary><b>More in this category</b> _{· 57}</summary> - [wjdjdakf17/jev-study](https://github.com/wjdjdakf17/jev-study) - Jev(TypeSafe AI System One Model) 스터디 — 타입화된 결정·RLCD·confidence-gated routing을… - [ollaya-dev/ollaya](https://github.com/ollaya-dev/ollaya) - Run open decision models locally: pull and serve Laya, decider, NLI and… - [FeiLiuEM/open-medical-jev](https://github.com/FeiLiuEM/open-medical-jev) - High-performance, high-precision, locally-fast-deployed Jev-class medical… - [zhangcy122/OpenJev](https://github.com/zhangcy122/OpenJev) - Self-evolving cognitive decision engine &amp; TypeSafe Jev alternative. - [klauswg/jev-guard](https://github.com/klauswg/jev-guard) - Real-time risk triage gateway for exchange deposits and withdrawals — Jev… - [bytelabs-oss/clash-jev](https://github.com/bytelabs-oss/clash-jev) - A Clash Royale bot with no trained policy: Jev (TypeSafe System One) makes… - [gtaras7/typesafe-jev](https://github.com/gtaras7/typesafe-jev) - Screen a folder of CVs with the TypeSafe Jev decision model: typed judgments… - [vynnlee/jev-mail](https://github.com/vynnlee/jev-mail) - Autonomous 24/7 Zero-Inbox triage for Gmail powered by TypeSafe Jev System One. - [bitnovus/jev-spam-eval](https://github.com/bitnovus/jev-spam-eval) - Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF… - [ARCJ137442/jev-switch](https://github.com/ARCJ137442/jev-switch) - A fast, local-first gateway for aggregating and routing TypeSafe Jev model… - [gbesse/nifi-jev](https://github.com/gbesse/nifi-jev) - Apache NiFi processor for TypeSafe Jev semantic routing with uncertainty lane. - [openwhat007/jev-rerank](https://github.com/openwhat007/jev-rerank) - Relevance re-ranking for query/candidate lists, powered by TypeSafe. - [SENZO-NCEKANA/jev-triage-benchmark](https://github.com/SENZO-NCEKANA/jev-triage-benchmark) - Independent benchmark of TypeSafe. - [abdwhb-png/cliproxy-jev-provider](https://github.com/abdwhb-png/cliproxy-jev-provider) - Native JEV decision provider and browser tester for CLIProxyAPI; - [atmaneayoubdev/jev-ar](https://github.com/atmaneayoubdev/jev-ar) - Arabic intent routing for RAG apps and assistants: MSA, Emirati, Saudi and… - [benkohcc/jev-ticket-triage](https://github.com/benkohcc/jev-ticket-triage) - Testing TypeSafe. - [blowxian/jev-fanout-bench](https://github.com/blowxian/jev-fanout-bench) - Measured: asking TypeSafe Jev N questions in one call bills the state once. - [ciberado/jev-router](https://github.com/ciberado/jev-router) - A simple jev-powered LLM router (RAG/Model type). - [feD0s/jev-router-bench](https://github.com/feD0s/jev-router-bench) - AI Techie: reproducible Russian intent-routing experiment, Jev Choice vs GPT-6… - [ForestMars/Jev-router](https://github.com/ForestMars/Jev-router) - Ultra-low-latency, 4-tier prompt router in Rust using exact/fuzzy pattern… - [frederico-kluser/jev-playground](https://github.com/frederico-kluser/jev-playground) - Playground for the Jev (TypeSafe System One) decision model via OpenRouter… - [galinauskas/jev-harness](https://github.com/galinauskas/jev-harness) - A demo harness for testing TypeSafe. - [gbesse/dagster-jev](https://github.com/gbesse/dagster-jev) - Dagster asset checks with TypeSafe Jev semantic decisions. - [gbesse/jev-decisionops](https://github.com/gbesse/jev-decisionops) - Production evaluation and gateway tooling for Jev and System One-compatible… - [gbesse/jev-france-services-router](https://github.com/gbesse/jev-france-services-router) - Oriente une demande administrative vers les partenaires et structures France… - [gbesse/jev-timemachine](https://github.com/gbesse/jev-timemachine) - Replay changed DecisionPacks over historical data, reuse judgments and measure… - [gbesse/node-red-contrib-jev-decisions](https://github.com/gbesse/node-red-contrib-jev-decisions) - Native Node-RED nodes for versioned Jev decisions, review routing and… - [gbesse/openproject-jev-triage](https://github.com/gbesse/openproject-jev-triage) - Jev completeness triage for OpenProject work packages. - [gbesse/redpanda-connect-jev](https://github.com/gbesse/redpanda-connect-jev) - Typed Jev decisions in Redpanda Connect pipelines. - [gbesse/unity-jev-behavior](https://github.com/gbesse/unity-jev-behavior) - Guarded asynchronous decision nodes for Unity Behavior, using a server-side… - [harmoniqs/arJev](https://github.com/harmoniqs/arJev) - arJev — a daily arXiv digest engine that ranks against your living Obsidian… - [Haslab-dev/pandu-jev](https://github.com/Haslab-dev/pandu-jev) - Pandu, is mini Jev model, inspired by Jev. - [hrtaym1114-github/x-jev-gate](https://github.com/hrtaym1114-github/x-jev-gate) - X draft gate powered by TypeSafe Jev (System One): hard secret checks + Noul… - [HuXioAn/jev-telegram-channel-router](https://github.com/HuXioAn/jev-telegram-channel-router) - Jev as a channel message router | Jev频道消息路由. - [kellystuard/jev-gmail-classifier](https://github.com/kellystuard/jev-gmail-classifier) - Google Apps Script that classifies Gmail messages with Jev, TypeSafe. - [Loule95450/jev-free-router](https://github.com/Loule95450/jev-free-router) - Dynamic per-turn model router on free OpenCode Zen + Go models. - [manhua-man/jev-pilot-reflex](https://github.com/manhua-man/jev-pilot-reflex) - Three.js Autonomous Driving Reflex &amp; AI Safety Brake Simulator powered by… - [mgd34msu/goodvibes-jev](https://github.com/mgd34msu/goodvibes-jev) - The Goodvibes platform with Jev integrated into the decision model for… - [morler/pi-jev-core](https://github.com/morler/pi-jev-core) - Minimal Jev judgment core for Pi and other TypeScript apps: noul/choice/score… - [petercr/jev-orchestrator](https://github.com/petercr/jev-orchestrator) - An mini node orchestrator that uses Jev to handle routing to different LLMs… - [RichardoMrMu/jev-mini](https://github.com/RichardoMrMu/jev-mini) - Put Jev. - [RichieLoco/JevGate](https://github.com/RichieLoco/JevGate) - Pure-MQL5 module that lets any MT5 Expert Advisor veto trades using TypeSafe… - [ronaldoflima/jev-decision-lab](https://github.com/ronaldoflima/jev-decision-lab) - Exploratory Jev decision experiments via the OpenRouter Decisions API: delivery… - [shravan1996/generative-ai-jev-rlcd-calibrated-decisions](https://github.com/shravan1996/generative-ai-jev-rlcd-calibrated-decisions) - No-key trial: three rewards on one tiny policy, and whether its 90% confidence… - [skhlo/jev-a2a](https://github.com/skhlo/jev-a2a) - Jev router: a prompt with an envelope and a record, across Paseo hosts. - [soummyaanon/jev-vs-laya](https://github.com/soummyaanon/jev-vs-laya) - ⚔️ Open-source battleground for AI classifiers: TypeSafe Jev vs Laya on… - [subhan22x/SearchShift-Jev](https://github.com/subhan22x/SearchShift-Jev) - A natural-language launcher prototype that routes app searches and everyday… - [swairshah/JevDial](https://github.com/swairshah/JevDial) - interface to investigate calibration of Jev and other System-1 Models. - [tbmsindemnify/paperclip-jev](https://github.com/tbmsindemnify/paperclip-jev) - Paperclip (paperclipai/paperclip, MIT) with automatic task routing by… - [THEROCKSSS/awesome-jev](https://github.com/THEROCKSSS/awesome-jev) - Merged, deduplicated, daily-updated catalog of Jev / TypeSafe System One… - [xi029/jev-lens](https://github.com/xi029/jev-lens) - Decide before you generate. Local evidence gates, threshold replay and… - [yjsplay2002/jev-router-dashboard](https://github.com/yjsplay2002/jev-router-dashboard) - Local, privacy-first dashboard for Jev Router classification and model-routing… - [sumleo/RLCDAlignBench](https://github.com/sumleo/RLCDAlignBench) - RLCDAlignBench: 44 alignment-failure detection benchmarks and code for. - [Trystan-SA/laya-candle](https://github.com/Trystan-SA/laya-candle) - JEV-like Rust port using Laya, 100% local, no Python. - [joshhu/jevtest](https://github.com/joshhu/jevtest) - 情緒測謊器：嘴上說「好」，心裡真的好嗎？用 TypeSafe Jev（System One 模型）透過 OpenRouter 即時判斷，並與一般 LLM 對照. - [jagsan-cyber/reflex-gate](https://github.com/jagsan-cyber/reflex-gate) - Local Jev / System One–compatible gateway — not TypeSafe. - [TheCoder30ec4/model_router_python](https://github.com/TheCoder30ec4/model_router_python) - Route every LLM call to the cheapest model that can actually do the job. </details> <a id="evaluation"></a> ## Evaluation, calibration and benchmarks How anyone knows the decisions are any good. Calibration is the open question in this ecosystem, and these are the projects measuring it. <details> <summary>🧪 <b><a href="https://github.com/v-modal/awesome-jev-tools">v-modal/awesome-jev-tools</a></b> · ⭐736 · 👁️ observed · 0d</summary> ##### 📝 Summary A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **736** | | Last push | 2026-10-02 | | First listed | 2026-09-20 | 🏷 `awesome` · `awesome-list` · `awesome-lists` · `awesome-readme` · `awesome-resources` · `calibrated-probabilities` · `jev` · `jev-ai` </details> <details> <summary>🧪 <b><a href="https://github.com/OmniJev/awesome-jev-gallery">OmniJev/awesome-jev-gallery</a></b> · ⭐487 · JavaScript · 👁️ observed · 0d</summary> ##### 📝 Summary 🔥🔥 Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System One models. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `observed` | | Language | JavaScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **487** | | Last push | 2026-10-02 | | First listed | 2026-09-20 | 🏷 `awesome` · `awesome-jev` · `awesome-list` · `calibrated-probabilities` · `calibration` · `decision-models` · `jev` · `jev-ai` </details> <details> <summary>🧪 <b><a href="https://github.com/ikermoel/open-alternative-jev">ikermoel/open-alternative-jev</a></b> · ⭐58 · Python · 👁️ observed · 7d</summary> ##### 📝 Summary Open-source alternative to TypeSafe's Jev: a System One style model layer that gives typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with honest benchmarks ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **58** | | Last push | 2026-09-25 | | First listed | 2026-09-18 | 🏷 `calibration` · `classification` · `jev` · `jev-alternative` · `llm` · `logprobs` · `open-jev` · `open-source-jev` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/ikermoel--open-alternative-jev/41dab050f73a168f.png" width="100%" alt="ikermoel/open-alternative-jev screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🧪 <b><a href="https://github.com/hev/reranker">hev/reranker</a></b> · ⭐14 · Python · 👁️ observed · 14d</summary> ##### 📝 Summary Use Jev (TypeSafe's System One model) as a calibrated reranker: one call, up to 30 documents, a probability per document. Apache-2.0. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **14** | | Last push | 2026-09-17 | | First listed | 2026-09-18 | </details> <details> <summary>🧪 <b><a href="https://github.com/akash-kamat/system-one-gemma">akash-kamat/system-one-gemma</a></b> · ⭐6 · Python · 👁️ observed · 14d</summary> ##### 📝 Summary Open-source Jev-style System One decision model. Gemma 3 270M with a scoring head — fast, calibrated decisions in a single forward pass. No text generation. Inspired by TypeSafe.ai's Jev. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **6** | | Last push | 2026-09-18 | | First listed | 2026-09-18 | 🏷 `calibration` · `decision-model` · `gemma` · `jev` · `lora` · `machine-learning` · `scoring-model` · `system-one` </details> <details> <summary>🧪 <b><a href="https://github.com/brida-ai/reflexbench">brida-ai/reflexbench</a></b> · ⭐6 · Python · 👁️ observed · 8d</summary> ##### 📝 Summary ReflexBench — open benchmark and evaluation harness for System One models and typed decision engines ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **6** | | Last push | 2026-09-24 | | First listed | 2026-09-25 | 🏷 `ai-benchmark` · `ai-evaluation` · `benchmark` · `calibration` · `choice` · `decision-models` · `jev` · `laya` </details> <details> <summary>🧪 <b><a href="https://github.com/OmniJev/awesome-jev-papers">OmniJev/awesome-jev-papers</a></b> · ⭐3 · Python · 👁️ observed · 0d</summary> ##### 📝 Summary 📄 Research papers on Jev, TypeSafe's System One model, and the open models built in its shape. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **3** | | Last push | 2026-10-02 | | First listed | 2026-09-28 | 🏷 `arxiv` · `awesome` · `awesome-list` · `calibration` · `decision-model` · `jev` · `llm` · `paper-list` </details> <details> <summary>🧪 <b><a href="https://github.com/pozapas/awesome-system-one-models">pozapas/awesome-system-one-models</a></b> · ⭐1 · Python · 👁️ observed · 0d</summary> ##### 📝 Summary Curated, evidence-graded list of System One models (typed probabilistic decision models), with genealogy, open and hosted models, datasets, tooling, graded evidence, a failure atlas and design patterns. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-10-02 | | First listed | 2026-10-02 | 🏷 `awesome-list` · `calibration` · `classification` · `decision-models` · `llm` · `survey` · `system-one-models` </details> <details> <summary>🧪 <b><a href="https://github.com/prasadkopanati/jev-classifier">prasadkopanati/jev-classifier</a></b> · ⭐1 · Python · 👁️ observed · 1d</summary> ##### 📝 Summary A small local tool for evaluating Jev, TypeSafe's classification-only System One model, through opencode.ai Zen ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-10-01 | | First listed | 2026-10-01 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top">_{no media published}</td> <td align="center" valign="top"><a href="https://youtu.be/VFN_kUOdfy0"><img src="" width="100%" alt="video"></a><br>_{<a href="https://youtu.be/VFN_kUOdfy0">Watch on youtu.be</a> · playback opens on the host site; GitHub cannot embed it inline}</td> </tr></table> </details> <details> <summary>🧪 <b><a href="https://github.com/aarora79/jev-samples">aarora79/jev-samples</a></b> · 👁️ observed · 0d</summary> ##### 📝 Summary Runnable samples for Jev, TypeSafe AI's System One model. Send state and questions carrying their own answer options, then branch on the typed value that comes back. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-10-01 | | First listed | 2026-09-19 | 🏷 `calibration` · `classification` · `code-samples` · `confidence-thresholds` · `decision-making` · `examples` · `jev` · `llm` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/aarora79/my-ai-assets/main/explainers/jev/poster/jev-poster-back.png" width="100%" alt="aarora79/jev-samples screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> _{Asset hot-linked from the upstream repository because no redistribution licence was declared.} </details> <details> <summary>🧪 <b><a href="https://github.com/Applied-AI-Research-Lab/JEV-System-One-Model-in-Business-Intent-Classification">Applied-AI-Research-Lab/JEV-System-One-Model-in-Business-Intent-Classification</a></b> · Python · 👁️ observed · 0d</summary> ##### 📝 Summary JEV System One Model in Business Intent Classification: Benchmarking Zero-Shot Performance Against Large Language Models ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-10-01 | | First listed | 2026-10-01 | </details> <details> <summary>🧪 <b><a href="https://github.com/jburns24/jev-demo">jburns24/jev-demo</a></b> · 👁️ observed · 13d</summary> ##### 📝 Summary playing with jev-latest evaluation model ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-09-19 | | First listed | 2026-09-19 | </details> <details> <summary>🧪 <b><a href="https://github.com/nokia-applied-research/AnyJev">nokia-applied-research/AnyJev</a></b> · ⭐1012 · Python · 🔎 inferred · 0d · ⭐+2</summary> ##### 📝 Summary Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request) ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------- | | Stars | **1012** (+2) | | Last push | 2026-10-02 | | First listed | 2026-09-22 | 🏷 `calibration` · `decision-model` · `jev` · `jev-model` · `llm` · `system-one` · `transformers` · `vllm` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/nokia-applied-research--anyjev/aa858d6466499ce1.png" width="100%" alt="nokia-applied-research/AnyJev screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/nokia-applied-research--anyjev/93e61c3de618cc36.gif" width="100%" alt="nokia-applied-research/AnyJev animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary>🧪 <b><a href="https://github.com/fstandhartinger/jevbench">fstandhartinger/jevbench</a></b> · ⭐198 · Python · 🔎 inferred · 3d · ⭐+1</summary> ##### 📝 Summary JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **198** (+1) | | Last push | 2026-09-29 | | First listed | 2026-09-29 | 🏷 `decisionmodels` · `jev` · `systemone` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/fstandhartinger--jevbench/73c05c6cbcbf5d1f.png" width="100%" alt="fstandhartinger/jevbench screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🧪 <b><a href="https://github.com/allebee/jevk5">allebee/jevk5</a></b> · ⭐129 · Python · 🔎 inferred · 4d · ⭐+1</summary> ##### 📝 Summary JevK5: open-weight alternative to TypeSafe Jev. Typed decisions with probabilities in one forward pass; Apache-2.0 weights and code. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **129** (+1) | | Last push | 2026-09-28 | | First listed | 2026-09-25 | 🏷 `calibration` · `decision-model` · `jev` · `jev-alternative` · `jevbench` · `lora` · `qwen` · `system-one` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/allebee--jevk5/7bd683d100fd8dfc.png" width="100%" alt="allebee/jevk5 screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/allebee--jevk5/1f9cd6cb325d4bd4.gif" width="100%" alt="allebee/jevk5 animation"><br>_{animated recording · <a href="https://raw.githubusercontent.com/allebee/jevk5/main/docs/demo/jevk5-nvidia-demo.mp4">Open video</a>}</td> </tr></table> </details> <details> <summary>🧪 <b><a href="https://github.com/cobusgreyling/Jev">cobusgreyling/Jev</a></b> · ⭐129 · Python · 🔎 inferred · 12d</summary> ##### 📝 Summary Unofficial TypeSafe Jev showcase — System One decisions, not chat. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **129** | | Last push | 2026-09-20 | | First listed | 2026-09-28 | 🏷 `calibrated-decisions` · `jev` · `showcase` · `system-one` · `typesafe` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/cobusgreyling--jev/b5b0abab161c9cb8.jpg" width="100%" alt="cobusgreyling/Jev screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🧪 <b><a href="https://github.com/Heman10x-NGU/Verdict-open-jev">Heman10x-NGU/Verdict-open-jev</a></b> · ⭐110 · Python · 🔎 inferred · 4d</summary> ##### 📝 Summary Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **110** | | Last push | 2026-09-28 | | First listed | 2026-09-18 | 🏷 `brier-score` · `calibration` · `decision-engine` · `edge-ai` · `gliclass` · `jev` · `modernbert` · `onnx` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/Heman10x-NGU/Verdict-open-jev/main/assets/v1.4/benchmark-leaderboard-chart.png" width="100%" alt="Heman10x-NGU/Verdict-open-jev screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> _{Asset hot-linked from the upstream repository because no redistribution licence was declared.} </details> <details> <summary>🧪 <b><a href="https://github.com/ankit-aglawe/tinyjev">ankit-aglawe/tinyjev</a></b> · ⭐27 · Python · 🔎 inferred · 0d · ⭐+1</summary> ##### 📝 Summary A tiny jev-like model that answers Choice, Score and Noul questions in one forward pass and returns calibrated probabilities. MLX or PyTorch, fully offline, System One compatible. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Evaluation, calibration and benchmarks` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ----------- | | Stars | **27** (+1) | | Last push | 2026-10-01 | | First listed | 2026-09-23 | 🏷 `decision-model` · `jev` · `jev-model` · `mlx` · `qwen3` · `small-language-models` · `system-one` · `typed-decisions` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/ankit-aglawe--tinyjev/dc0d701a10c37f94.gif" width="100%" alt="ankit-aglawe/tinyjev screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/ankit-aglawe--tinyjev/dc0d701a10c37f94.gif" width="100%" alt="ankit-aglawe/tinyjev animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary><b>More in this category</b> _{· 59}</summary> - [lorenzofamiglini/calfram-bench](https://github.com/lorenzofamiglini/calfram-bench) - Calibration audit of TypeSafe. - [patryckalves/jev-no-enem](https://github.com/patryckalves/jev-no-enem) - Reproducible benchmark evaluating TypeSafe AI. - [pozapas/system-one-models-survey](https://github.com/pozapas/system-one-models-survey) - Census, evidence ledger, benchmark harness and results for the survey of System… - [buberlo/jev-trader](https://github.com/buberlo/jev-trader) - 24/7 market-making system around Jev (TypeSafe System One) decisions… - [Eliot5566/JEV-Paper-Radar](https://github.com/Eliot5566/JEV-Paper-Radar) - Let Jev read every new arXiv paper each morning and surface the few you should… - [manjunathshiva/opendecider](https://github.com/manjunathshiva/opendecider) - Open, calibrated System 1 decision models: typed choice / score / yes-no… - [cablehead/jev.nu](https://github.com/cablehead/jev.nu) - Nushell module for the TypeSafe System One API: typed decisions with calibrated… - [rupeshpoojary9/awesome-open-system-one](https://github.com/rupeshpoojary9/awesome-open-system-one) - Curated list of the open System One ecosystem: open models, independent… - [us/jev-local](https://github.com/us/jev-local) - Local Jev-compatible evaluation server: POST /v1/systemone with typed… - [ZhangYiqun018/jev-dimabsa](https://github.com/ZhangYiqun018/jev-dimabsa) - TypeSafe Jev (System One) on DimABSA, SemEval-2026 Task 3 Track A, all three… - [instax-dutta/sysone-bench](https://github.com/instax-dutta/sysone-bench) - First independent head-to-head benchmark of System One decision models. - [wondertwins/jev-benchmark](https://github.com/wondertwins/jev-benchmark) - Benchmarks and a playground for TypeSafe. - [y0usaf/jev-lm](https://github.com/y0usaf/jev-lm) - A word-level language model whose output layer is Jev: n-gram drafter, Noul… - [Yifan-Lan/awesome-jev-robustness](https://github.com/Yifan-Lan/awesome-jev-robustness) - Tests, calibration audits and failure-mode studies of Jev. - [BrendanH18/jev_fsd](https://github.com/BrendanH18/jev_fsd) - A driving simulator on real OpenStreetMap streets where TypeSafe. - [mertkayacs/jevalt](https://github.com/mertkayacs/jevalt) - Open alternative to Jev, Kev and Laya: three 4B decision models. - [shivpratapsinghpanwar/edgefront_JEV](https://github.com/shivpratapsinghpanwar/edgefront_JEV) - Do you need a hosted decision model, or does a small local model match it? - [adambkovacs/candidate-experience-benchmark](https://github.com/adambkovacs/candidate-experience-benchmark) - Compare TypeSafe Jev and LLMs on 60 synthetic candidate-experience reviews… - [CodyQin/zh-decision-bench](https://github.com/CodyQin/zh-decision-bench) - First Chinese-language calibration benchmark for Jev-class &#x27;System One&#x27;… - [dchristopoulos/jev-aita](https://github.com/dchristopoulos/jev-aita) - Benchmark of TypeSafe. - [teyhouse/jev-secret-detection](https://github.com/teyhouse/jev-secret-detection) - Measures how well TypeSafe. - [EnesDemir143/jev-laya-benchmark](https://github.com/EnesDemir143/jev-laya-benchmark) - Local benchmark comparing TypeSafe Jev and Laya-MLX for structured issue… - [etsabary/jev-deterministic-benchmark](https://github.com/etsabary/jev-deterministic-benchmark) - 1,000-decision behavioral benchmark of Jev across 25 deterministic reasoning… - [kimjooyoon/gooo-jev-runtime](https://github.com/kimjooyoon/gooo-jev-runtime) - Go and .gooo runtime primitives for JEV calibration, provenance, and bounded… - [mturac/awesome-jev-alternatives](https://github.com/mturac/awesome-jev-alternatives) - Curated, verified list of open alternatives and components for System One style… - [seongyeon1/dlm-jev](https://github.com/seongyeon1/dlm-jev) - Jev-style typed decision engine on a diffusion LM (DiffusionGemma + MLX)… - [Atulmishra22/jev-lite](https://github.com/Atulmishra22/jev-lite) - Production-grade System One decision engine inspired by TypeSafe AI. - [BowmanStephen/jev-stage-a-explainer](https://github.com/BowmanStephen/jev-stage-a-explainer) - Jev Stage A explainer — quiet Read-mode scorecard for the frozen 20-post… - [Chetax/jev-ecommerce-reviews](https://github.com/Chetax/jev-ecommerce-reviews) - E-commerce review classification with TypeSafe. - [dnakhoa/jev-deferred-crispification](https://github.com/dnakhoa/jev-deferred-crispification) - Position paper: the Hidden-Markov and fuzzy primitives missing from TypeSafe… - [fooSynaptic/jev-any-llm](https://github.com/fooSynaptic/jev-any-llm) - Wrap any instruct LLM into Jev-mode prediction — and make those decisions SUPER… - [gbesse/jev-banc-francais](https://github.com/gbesse/jev-banc-francais) - Évalue des décisions d. - [gbesse/jev-lifecycle](https://github.com/gbesse/jev-lifecycle) - Five production tools for the lifecycle of Jev and compatible typed decision… - [kanishka-namdeo/jev-rag](https://github.com/kanishka-namdeo/jev-rag) - Local-first hybrid RAG: traditional vs Jev-style (System One) pipelines over… - [maanik-chandela/Jev-decision-control](https://github.com/maanik-chandela/Jev-decision-control) - Research framework for evaluating calibration, stability, robustness, and… - [model-collapse/jev-bench](https://github.com/model-collapse/jev-bench) - JevBench: an open, model-agnostic benchmark for typed decision models… - [MohitSV/jev-calibration-audit](https://github.com/MohitSV/jev-calibration-audit) - Exact-target audit of the probabilities returned by calibration-trained… - [Nit-1997-work/when-to-use-jev](https://github.com/Nit-1997-work/when-to-use-jev) - Benchmarking JEV against an LLM for intent classification on a public dataset… - [nxtg-ai/jev-calibration-eval](https://github.com/nxtg-ai/jev-calibration-eval) - Pre-registered calibration study of Jev vs a local model and a frontier model… - [onlyoneaman/jev-eval](https://github.com/onlyoneaman/jev-eval) - TypeSafe. - [open-factoryai/myJEV](https://github.com/open-factoryai/myJEV) - Turn any state into structured, calibrated decisions. - [Optimizer077/jev-learning-course](https://github.com/Optimizer077/jev-learning-course) - A self-paced notebook course on Jev, typed AI decisions, calibration, and… - [smha1012/jev-torch](https://github.com/smha1012/jev-torch) - PyTorch implementation for training JEV-style calibrated decision models. - [sudo-sagar/jev-calibration](https://github.com/sudo-sagar/jev-calibration) - Built an audit for independent evaluation harness for Jev. - [tak-bro/local-jev-bench](https://github.com/tak-bro/local-jev-bench) - Local Jev-style System One decision models on Apple Silicon Macs: AnyJev, Kev… - [tusharck/jev-vs-strands-decider](https://github.com/tusharck/jev-vs-strands-decider) - Jev (TypeSafe API) vs Strands Decider 2B (local) on the same inbox: accuracy… - [UpHash-Network/mini-jev](https://github.com/UpHash-Network/mini-jev) - LogitTrail (formerly Mini Jev): inspectable local typed decisions, candidate… - [vicfei/awesome-jev-prompts](https://github.com/vicfei/awesome-jev-prompts) - Question patterns, anti-patterns &amp; calibration notes for Jev (TypeSafe AI)… - [wdlctc/jev-recommend](https://github.com/wdlctc/jev-recommend) - Jev-style typed decision models as recommenders: pointwise vs isolated-mask vs… - [withabdul/gemini-jev](https://github.com/withabdul/gemini-jev) - System One probabilistic decision model powered by Google Gemini. - [Mapika/decider](https://github.com/Mapika/decider) - A family of System One-style models fine-tuned from Qwen3.5, designed for… - [kyotofin/tax-doc-classifier](https://github.com/kyotofin/tax-doc-classifier) - Tax document page classifier built on Jev decisions. - [mithalouni/system-one-open](https://github.com/mithalouni/system-one-open) - Open replica of TypeSafe. - [nibzard/decision-model-benchmark](https://github.com/nibzard/decision-model-benchmark) - Independent, reproducible benchmark: a decision model (jev), eight constrained… - [khimaros/verdict](https://github.com/khimaros/verdict) - turn any llama-server into a jev system one endpoint. - [kotoba-lang/typed-decisions](https://github.com/kotoba-lang/typed-decisions) - Jev-shaped typed-decision model. - [nomadoor/ComfyUI-TypedDecision](https://github.com/nomadoor/ComfyUI-TypedDecision) - Typed decisions (noul / choice / score) with calibrated probabilities in… - [arnabgho/rlcd-lite](https://github.com/arnabgho/rlcd-lite) - Simplified RL for Calibrated Decisions: parallel constrained JSON decoding +… - [shamazharikh/qwen-rlcd](https://github.com/shamazharikh/qwen-rlcd) - Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B. </details> <a id="research-models"></a> ## Open reproductions, weights and architecture research Open weights, small replicas and architecture work. Several of these exist because the calibration behaviour is not reproducible from public material alone. <details> <summary>🔬 <b><a href="https://github.com/kshetrajna12/reflex">kshetrajna12/reflex</a></b> · ⭐161 · Python · 👁️ observed · 5d</summary> ##### 📝 Summary A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5. > 💡 An open decision model with the same state-plus-typed-question interface. Worth reading as a shape reference even if you never run it. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **161** | | Last push | 2026-09-27 | | First listed | 2026-09-18 | </details> <details> <summary>🔬 <b><a href="https://github.com/TianyuCodings/NanoJev">TianyuCodings/NanoJev</a></b> · ⭐2473 · Python · 🔎 inferred · 11d · ⭐-3</summary> ##### 📝 Summary A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline. > 💡 A small replica of the parallel-decision shape. Useful for reading the architecture without the vendor stack, and it is how several claims about the interface first became checkable. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------- | | Stars | **2473** (-3) | | Last push | 2026-09-21 | | First listed | 2026-09-18 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/tianyucodings--nanojev/da3528699bc28423.gif" width="100%" alt="TianyuCodings/NanoJev screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/tianyucodings--nanojev/da3528699bc28423.gif" width="100%" alt="TianyuCodings/NanoJev animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary>🔬 <b><a href="https://github.com/r-ms/mini-jev">r-ms/mini-jev</a></b> · ⭐58 · Python · 🔎 inferred · 14d · ⭐+1</summary> ##### 📝 Summary mini-Jev: what a Jev-style typed-decision interface looks like on a frozen Qwen3-4B — read the option letter's logits instead of generating JSON. Preregistered experiment, results, teaching bench. > 💡 The most useful independent reproduction to read: it shows the read-the-logits mechanism working, and it also warns explicitly that the share it reads out is not a calibrated probability. That warning is the single most important caveat in this ecosystem. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ----------- | | Stars | **58** (+1) | | Last push | 2026-09-18 | | First listed | 2026-09-18 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/r-ms--mini-jev/fe789cc568b74976.png" width="100%" alt="r-ms/mini-jev screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🔬 <b><a href="https://github.com/PsiACE/dohnuts">PsiACE/dohnuts</a></b> · ⭐34 · Python · 👁️ observed · 10d</summary> ##### 📝 Summary Dohnuts builds small multimodal models for direct decisions. -> System One model ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **34** | | Last push | 2026-09-21 | | First listed | 2026-09-21 | 🏷 `decision-model` · `jev` · `laya` · `llm` · `lora` · `rlcd` · `system-one` · `typesafe` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/psiace--dohnuts/146654189a75a90b.png" width="100%" alt="PsiACE/dohnuts screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🔬 <b><a href="https://github.com/stephenlb/system-one-model">stephenlb/system-one-model</a></b> · ⭐3 · Python · 👁️ observed · 0d</summary> ##### 📝 Summary Open source System One Model using open weights ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **3** | | Last push | 2026-10-02 | | First listed | 2026-10-01 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://github.com/user-attachments/assets/d5f5daf0-09c8-4dba-ac7e-b3599e2036d0" width="100%" alt="stephenlb/system-one-model screenshot"></td> <td align="center" valign="top"><a href="https://raw.githubusercontent.com/stephenlb/system-one-model/main/media/typesafe-replica-doom-game-only.mp4"><img src="https://github.com/user-attachments/assets/d5f5daf0-09c8-4dba-ac7e-b3599e2036d0" width="100%" alt="stephenlb/system-one-model video"></a><br>_{<a href="https://raw.githubusercontent.com/stephenlb/system-one-model/main/media/typesafe-replica-doom-game-only.mp4">Open video</a>}</td> </tr></table> _{Asset hot-linked from the upstream repository because no redistribution licence was declared.} </details> <details> <summary>🔬 <b><a href="https://huggingface.co/autotrust/JEV-27B">autotrust/JEV-27B</a></b> · model · 👁️ observed · 0d</summary> ##### 📝 Summary No upstream description was published. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-30 | 🏷 `transformers` · `safetensors` · `qwen3_5_text` · `text-generation` · `system-one` · `system-two` · `blocks-of-experts` · `typed-decisions` </details> <details> <summary>🔬 <b><a href="https://github.com/BipinRajC/Jev-api-experiments">BipinRajC/Jev-api-experiments</a></b> · Python · 👁️ observed · 4d</summary> ##### 📝 Summary Empirical experiments and API research for TypeSafe's Jev System One model trained using RLCD ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-09-27 | | First listed | 2026-09-22 | 🏷 `api` · `experimental` · `jev` · `rlcd` · `typesafe-ai` </details> <details> <summary>🔬 <b><a href="https://huggingface.co/lafalce/system-one-model">lafalce/system-one-model</a></b> · model · 👁️ observed · 13d</summary> ##### 📝 Summary No upstream description was published. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-20 | 🏷 `transformers` · `safetensors` · `modernbert` · `lora` · `text-classification` · `decision-model` · `en` · `base_model:answerdotai/ModernBERT-base` </details> <details> <summary>🔬 <b><a href="https://huggingface.co/link921/CPM-jev">link921/CPM-jev</a></b> · model · 👁️ observed · 1d</summary> ##### 📝 Summary No upstream description was published. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-10-01 | 🏷 `jev-style` · `safetensors` · `minicpm` · `minicpm5` · `system-one` · `decision-model` · `probability` · `calibration` </details> <details> <summary>🔬 <b><a href="https://huggingface.co/persly/persly-jev-9b">persly/persly-jev-9b</a></b> · model · 👁️ observed · 0d</summary> ##### 📝 Summary No upstream description was published. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-10-02 | 🏷 `peft` · `safetensors` · `jev` · `jev-torch` · `decision-model` · `calibration` · `lora` · `distillation` </details> <details> <summary>🔬 <b><a href="https://huggingface.co/shreyanbr/nev-lite-systemone">shreyanbr/nev-lite-systemone</a></b> · model · 👁️ observed · 10d</summary> ##### 📝 Summary No upstream description was published. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-22 | 🏷 `model2vec` · `text-classification` · `static-embeddings` · `no-attention` · `efficient-inference` · `decision-engine` · `en` · `dataset:DeepPavlov/clinc_oos` </details> <details> <summary>🔬 <b><a href="https://huggingface.co/smha1012/jev-9b">smha1012/jev-9b</a></b> · model · 👁️ observed · 0d</summary> ##### 📝 Summary No upstream description was published. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `observed` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-10-02 | 🏷 `peft` · `safetensors` · `jev` · `jev-torch` · `decision-model` · `calibration` · `lora` · `distillation` </details> <details> <summary>🔬 <b><a href="https://github.com/mizorewww/laya-mlx">mizorewww/laya-mlx</a></b> · ⭐6709 · Python · 🔎 inferred · 0d · ⭐+1</summary> ##### 📝 Summary Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------- | | Stars | **6709** (+1) | | Last push | 2026-10-02 | | First listed | 2026-10-02 | 🏷 `apple-silicon` · `decision-model` · `inference` · `laya` · `local-ai` · `machine-learning` · `mlx` · `modernbert` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/mizorewww--laya-mlx/18b82d54b656b475.gif" width="100%" alt="mizorewww/laya-mlx screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/mizorewww--laya-mlx/18b82d54b656b475.gif" width="100%" alt="mizorewww/laya-mlx animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary>🔬 <b><a href="https://github.com/TheoLeeCJ/SemIf-OpenJev">TheoLeeCJ/SemIf-OpenJev</a></b> · ⭐4655 · Python · 🔎 inferred · 8d · ⭐-4</summary> ##### 📝 Summary Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------- | | Stars | **4655** (-4) | | Last push | 2026-09-23 | | First listed | 2026-09-25 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/theoleecj--semif-openjev/0504149cd9ef3cad.gif" width="100%" alt="TheoLeeCJ/SemIf-OpenJev screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/theoleecj--semif-openjev/0504149cd9ef3cad.gif" width="100%" alt="TheoLeeCJ/SemIf-OpenJev animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary>🔬 <b><a href="https://github.com/feder-cr/jev">feder-cr/jev</a></b> · ⭐1179 · C++ · 🔎 inferred · 0d · ⭐+2</summary> ##### 📝 Summary jevos is an open-source alternative to Jev for yes/no decisions that runs on your laptop. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `inferred` | | Language | C++ | ##### 📊 Data | Metric | Value | | ------------ | ------------- | | Stars | **1179** (+2) | | Last push | 2026-10-02 | | First listed | 2026-09-26 | 🏷 `binary-classification` · `classification` · `cpu-inference` · `decision-model` · `edge-ai` · `fastapi` · `gguf` · `jev` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/feder-cr--jev/c307586700de6698.png" width="100%" alt="feder-cr/jev screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/feder-cr--jev/597bb1c1e6a7c0aa.gif" width="100%" alt="feder-cr/jev animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary>🔬 <b><a href="https://github.com/featherless-ai/simple-jev">featherless-ai/simple-jev</a></b> · ⭐579 · Python · 🔎 inferred · 1d · ⭐-1</summary> ##### 📝 Summary Turn any open model into a classifier/jev endpoint ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **579** (-1) | | Last push | 2026-10-01 | | First listed | 2026-09-19 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/featherless-ai--simple-jev/46e66fbf4a92a3e9.png" width="100%" alt="featherless-ai/simple-jev screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🔬 <b><a href="https://github.com/ekzhang/openjev-sglang">ekzhang/openjev-sglang</a></b> · ⭐337 · Python · 🔎 inferred · 1d · ⭐-1</summary> ##### 📝 Summary Jev-compatible API endpoint based on open models (prefill-only) > 💡 A Jev-compatible endpoint served from open models, so the interface can be exercised without the hosted API. ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **337** (-1) | | Last push | 2026-10-01 | | First listed | 2026-09-18 | 🏷 `jev` · `llm` · `structured-generation` · `systemone` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://i.imgur.com/wHM3jxV.gif" width="100%" alt="ekzhang/openjev-sglang screenshot"></td> <td align="center" valign="top"><img src="https://i.imgur.com/wHM3jxV.gif" width="100%" alt="ekzhang/openjev-sglang animation"><br>_{animated recording}</td> </tr></table> _{Asset hot-linked from the upstream repository because no redistribution licence was declared.} </details> <details> <summary>🔬 <b><a href="https://github.com/FBddcz/embodied-jev">FBddcz/embodied-jev</a></b> · ⭐253 · Python · 🔎 inferred · 10d · ⭐+2</summary> ##### 📝 Summary EmbodiedJev: MuJoCo robot decision workbench with MiniCPM5-2B, Jev and compatible model APIs ##### 📌 Basic facts | Field | Value | | -------- | ------------------------------------------------------- | | Category | `Open reproductions, weights and architecture research` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **253** (+2) | | Last push | 2026-09-22 | | First listed | 2026-09-20 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/fbddcz--embodied-jev/51cd011e2d8e50f2.png" width="100%" alt="FBddcz/embodied-jev screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/fbddcz--embodied-jev/297ef7c24f9a67a8.gif" width="100%" alt="FBddcz/embodied-jev animation"><br>_{animated recording · <a href="https://raw.githubusercontent.com/FBddcz/embodied-jev/main/docs/media/libero-drawer-comparison.mp4">Open video</a>}</td> </tr></table> </details> <details> <summary><b>More in this category</b> _{· 41}</summary> - [Solizardking/clawd-jev-trading-machine](https://github.com/Solizardking/clawd-jev-trading-machine) - clawd-JEV-trading machine: JEV-on-Solana paper trader. - [stephenlb/system-one-model](https://huggingface.co/stephenlb/system-one-model) - [wfzyx/von](https://github.com/wfzyx/von) - The open-source System One decision model. - [hyperspaceai/jevcache](https://github.com/hyperspaceai/jevcache) - A decision cache for TypeSafe Jev-class models — memoize decisions so repeats… - [tomerglick57/Jevstiller](https://github.com/tomerglick57/Jevstiller) - Distill a repeated Jev classification task into a local model, on the fly… - [hunkim/solar-mini4-jev](https://github.com/hunkim/solar-mini4-jev) - [klauswg/jev-suite](https://github.com/klauswg/jev-suite) - Four decision-quality tools on Jev (TypeSafe System One): Jev answers… - [whyashthakker/awesome-jev-use-cases](https://github.com/whyashthakker/awesome-jev-use-cases) - Awesome list of Jev use cases. Compared with GPT Models (LLMs) across on cost… - [amithgc/local-jev](https://github.com/amithgc/local-jev) - A local, offline System One server compatible with TypeSafe. - [Xiaooolong/vev](https://github.com/Xiaooolong/vev) - Jev-like decision models that can also see images — open weights on Qwen3.5… - [chaitin/Decis](https://github.com/chaitin/Decis) - Self-hosted, Jev-compatible decision-model API — one /v1/systemone endpoint… - [ljwwwiop/JEV-mini](https://github.com/ljwwwiop/JEV-mini) - JEV-mini is a minimal learning project to train a fast decision-making model. - [skydiving94/klint](https://github.com/skydiving94/klint) - Declarative semantic linter and architectural code auditor for local… - [Computational-social-science/JevRSI](https://github.com/Computational-social-science/JevRSI) - Reproducing the RSI-Jev self-improvement curve on a Qwen3-0.6B backbone. - [yuting-ai/minicpm5-2b-jev](https://github.com/yuting-ai/minicpm5-2b-jev) - MiniCPM5-2B-Jev: High-Speed System 1 Decision Model. - [AbdelStark/reachy-jev](https://github.com/AbdelStark/reachy-jev) - Typed Jev decision primitives for Reachy Mini applications. - [Algorythm-Canada/OpenJevSwift](https://github.com/Algorythm-Canada/OpenJevSwift) - Native Swift implementation of OpenJev: Jev-compatible System One typed… - [AnilDeshpande/jev-youtube-demo](https://github.com/AnilDeshpande/jev-youtube-demo) - Jev (TypeSafe) vs GPT-4o-mini: classifying YouTube comments with a Judgement… - [emilesilvis/jev-experiment](https://github.com/emilesilvis/jev-experiment) - Reproducible Jev and GPT-4o mini classification experiments, findings, and… - [gbesse/jev-crypto-lab](https://github.com/gbesse/jev-crypto-lab) - Read-only research prototypes for prediction-market contract logic, resolution… - [gbesse/jev-joafe-purpose-shift](https://github.com/gbesse/jev-joafe-purpose-shift) - Distingue les changements matériels et administratifs entre annonces… - [gbesse/jev-minimis-watch](https://github.com/gbesse/jev-minimis-watch) - Prépare la revue des cumuls d. - [gbesse/jev-ofgl-peer-explainer](https://github.com/gbesse/jev-ofgl-peer-explainer) - Explique les écarts financiers d. - [gbesse/jev-rne-material-change](https://github.com/gbesse/jev-rne-material-change) - Distingue les changements matériels des mises à jour administratives dans un… - [gbesse/jev-service-public-handoff](https://github.com/gbesse/jev-service-public-handoff) - Prépare l. - [hamr-hub/z-jev](https://github.com/hamr-hub/z-jev) - Z-Jev: Jev-style non-autoregressive decision head (Choice/Score/Noul) on the… - [jevplays-games/jev-dots-and-boxes](https://github.com/jevplays-games/jev-dots-and-boxes) - Dots and Boxes against a server-side Jev opponent, with deterministic replays… - [jevplays-games/jev-minesweeper](https://github.com/jevplays-games/jev-minesweeper) - Two-board Minesweeper race against Jev with deterministic replays, verified… - [JevResearch/Jev-Research](https://github.com/JevResearch/Jev-Research) - Performance and architectural analysis of the new &quot;Jev&quot; model by TypeSafe AI. - [jkf87/jev-rlcd-replication](https://github.com/jkf87/jev-rlcd-replication) - Just Ask Jev (arXiv 2609.29429) 재현 — 저자 코드·데이터로 5개 벤치마크 1,155건 실행, AUROC 절대차… - [luckberonne/mini-jev](https://github.com/luckberonne/mini-jev) - Clasificador de comandos de shell de una sola pasada. - [seratsaad/SkyJev](https://github.com/seratsaad/SkyJev) - Which observing decisions should a language model make? Code, results and… - [u007/minicpm5-jev](https://github.com/u007/minicpm5-jev) - MiniCPM5-2B-8bit as a Jev-compatible typed-decision service on Apple Silicon… - [Van5hdeep/mini-jev](https://github.com/Van5hdeep/mini-jev) - a simple model trained on inspiration of jev. - [imikerussell/beebots](https://github.com/imikerussell/beebots) - Three AI trading bees on OKX, every decision by Jev. Paper trading by default. - [hotchpotch/bekko-system-one](https://github.com/hotchpotch/bekko-system-one) - Small System One decision models (17M–400M) for Yes/No, Choice, Score, and… - [apiplant/laya-rs](https://github.com/apiplant/laya-rs) - Rust reimplementation of Laya, a sub-35ms non-autoregressive typed-decision… - [Mangaba-ai/brier](https://github.com/Mangaba-ai/brier) - Brier: decisões tipadas e calibradas (choice/score/noul), locais e… - [Astro-Han/decision-head-rlcd](https://github.com/Astro-Han/decision-head-rlcd) - Where does a decision model. - [vicksiyi/qwen-2.5-1b-rlcd](https://github.com/vicksiyi/qwen-2.5-1b-rlcd) - Local MLX decision probability demo derived from harshatheg/Qwen-2.5-1B-RLCD on… - [yangshun2005/laya-cn](https://github.com/yangshun2005/laya-cn) - \[中文化\] Multilingual, non-autoregressive System 1 decision engine. </details> <a id="apps-demos"></a> ## Applications, games, robotics and interactive demos Games, robots, browsers and dashboards. Demos are how the latency and cost claims get made legible. <details> <summary>🎮 <b><a href="https://github.com/zadescoxp/Jev-Trades">zadescoxp/Jev-Trades</a></b> · ⭐39 · Python · 👁️ observed · 6d</summary> ##### 📝 Summary Trading bot with the all new TypeSafe AI's first system one model named as Jev ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **39** | | Last push | 2026-09-25 | | First listed | 2026-09-18 | 🏷 `automated-testing` · `backtesting` · `crypto-trading-bot-latest` · `trading-bot-ai-automated` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/zadescoxp--jev-trades/d74708c101b60531.png" width="100%" alt="zadescoxp/Jev-Trades screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/zadescoxp--jev-trades/2abea899d779de55.gif" width="100%" alt="zadescoxp/Jev-Trades animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary>🎮 <b><a href="https://github.com/dfinke/Jev">dfinke/Jev</a></b> · ⭐8 · PowerShell · 👁️ observed · 0d</summary> ##### 📝 Summary PowerShell decisions with TypeSafe AI's Jev model: https://typesafe.ai/blog/introducing-system-one-models-and-jev ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Language | PowerShell | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **8** | | Last push | 2026-10-01 | | First listed | 2026-09-28 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/dfinke--jev/25271c0538eb4644.png" width="100%" alt="dfinke/Jev screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🎮 <b><a href="https://github.com/Ashadeepa/typesafe-jev-model-use-cases">Ashadeepa/typesafe-jev-model-use-cases</a></b> · ⭐1 · Python · 👁️ observed · 13d</summary> ##### 📝 Summary Runnable demos of TypeSafe's System One model (Jev) — parallel Noul judgments and a Choice-based citation/claim checker ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-09-19 | | First listed | 2026-09-19 | </details> <details> <summary>🎮 <b><a href="https://github.com/Ashadeepa/typesafe-showcase">Ashadeepa/typesafe-showcase</a></b> · ⭐1 · TypeScript · 👁️ observed · 10d</summary> ##### 📝 Summary Next.js UI showing off TypeSafe's System One model (Jev) — parallel Noul judgments and a Choice-based citation checker, deployable to Vercel ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-09-22 | | First listed | 2026-09-19 | </details> <details> <summary>🎮 <b><a href="https://github.com/AyushGupta235/cvlm">AyushGupta235/cvlm</a></b> · ⭐1 · Python · 👁️ observed · 0d</summary> ##### 📝 Summary CVLM: Contrastive Visual Language Model. Vision for System One models built on CLM-8B. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-10-02 | | First listed | 2026-10-02 | </details> <details> <summary>🎮 <b><a href="https://github.com/Omrigotlieb/awesome-jev">Omrigotlieb/awesome-jev</a></b> · ⭐1 · Python · 👁️ observed · 0d</summary> ##### 📝 Summary Verified, screenshot-rich awesome list of projects built on Jev — TypeSafe AI's System One model for typed decisions ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-10-02 | | First listed | 2026-09-21 | </details> <details> <summary>🎮 <b><a href="https://github.com/saimahmedqazi/typesafe-jev-playground">saimahmedqazi/typesafe-jev-playground</a></b> · ⭐1 · TypeScript · 👁️ observed · 0d</summary> ##### 📝 Summary A BYOK playground for practicing TypeSafe's Jev — the first System One model — with your own LLM or native Jev API access. Experiment with Noul, Score, Choice, custom state, and structured decisions. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-10-02 | | First listed | 2026-10-01 | </details> <details> <summary>🎮 <b><a href="https://github.com/bobbylite/jev-system-one-model-primitives">bobbylite/jev-system-one-model-primitives</a></b> · TypeScript · 👁️ observed · 0d</summary> ##### 📝 Summary Basic sample app to demonstrate primitive types for system one models like TypeSafe's latest Jev decision model ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-10-02 | | First listed | 2026-10-01 | </details> <details> <summary>🎮 <b><a href="https://github.com/kerryback/jev">kerryback/jev</a></b> · Python · 👁️ observed · 1d</summary> ##### 📝 Summary Interactive playground for Jev, TypeSafe's System One model ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-09-30 | | First listed | 2026-10-01 | </details> <details> <summary>🎮 <b><a href="https://github.com/PavDev3/PokeJev">PavDev3/PokeJev</a></b> · Python · 👁️ observed · 0d</summary> ##### 📝 Summary Bot que juega Pokemon Anil usando Jev (typesafe.ai) como motor de decision, con vision clasica ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-10-02 | | First listed | 2026-10-02 | </details> <details> <summary>🎮 <b><a href="https://github.com/surafel-kindu/system-one-models-game-test">surafel-kindu/system-one-models-game-test</a></b> · HTML · 👁️ observed · 0d</summary> ##### 📝 Summary Games where the moves are chosen by a small System 1 decision model instead of a search algorithm or an LLM. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Language | HTML | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-10-02 | | First listed | 2026-10-02 | </details> <details> <summary>🎮 <b><a href="https://github.com/thanhauco/jev-3d-game-engine">thanhauco/jev-3d-game-engine</a></b> · JavaScript · 👁️ observed · 1d</summary> ##### 📝 Summary Three.js 3D game engine where NPCs make decisions with Jev (TypeSafe AI's System One model) ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Language | JavaScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **0** | | Last push | 2026-10-01 | | First listed | 2026-10-01 | </details> <details> <summary>🎮 <b><a href="https://x.com/tspy/status/2100864234523685146">Xtags — X intent labeller</a></b> · @tspy · 👁️ observed · 14d</summary> ##### 📝 Summary Xtags: a Chrome extension that labels each post in an X timeline with what it is trying to get from you — inducement, provocation, promotion, machine-generated, persuasion, entertainment, information — drawn as a tag plus a probability right after the timestamp. A side panel reports session counts (seen, judged, correct) and cumulative token cost. The author reports near-instant responses and usable accuracy before any tuning. ➡️ **Original project (manifoldor/xtags)** — [https://github.com/manifoldor/xtags](https://github.com/manifoldor/xtags) > 💡 Worth reading as a latency argument rather than an accuracy one: labelling a timeline only works if the decision costs less than the scroll, which is the constraint a generative model cannot meet. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `observed` | | Owner | [yishan](https://x.com/tspy) · @tspy | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Views | **9873** | | Likes | 24 | | Comments | 11 | | Posted | 2026-09-18 | | First listed | 2026-09-18 | 🏷 `x` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/x--tspy--2100864234523685146/0641644f12a25a45.jpg" width="100%" alt="Xtags — X intent labeller screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/x--tspy--2100864234523685146/b80cf3173f63bdd7.gif" width="100%" alt="Xtags — X intent labeller animation"><br>_{animated recording · <a href="https://video.twimg.com/amplify_video/2100858340331200512/vid/avc1/1242x720/ex2FF5-TerVxo9xX.mp4">Open video</a>}</td> </tr></table> </details> <details> <summary>🎮 <b><a href="https://github.com/superagents-lab/jev-search">superagents-lab/jev-search</a></b> · ⭐502 · TypeScript · 🔎 inferred · 0d · ⭐+1</summary> ##### 📝 Summary Search the web with TypeSafe's Jev: source selection, query understanding and relevance ranking. Built with Search1API. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `inferred` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **502** (+1) | | Last push | 2026-10-02 | | First listed | 2026-09-18 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/superagents-lab--jev-search/142baf14936c1714.png" width="100%" alt="superagents-lab/jev-search screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🎮 <b><a href="https://github.com/hr98w/jev-visual">hr98w/jev-visual</a></b> · ⭐303 · Python · 🔎 inferred · 11d</summary> ##### 📝 Summary An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos. ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **303** | | Last push | 2026-09-21 | | First listed | 2026-09-18 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/hr98w--jev-visual/10390ced72c89223.png" width="100%" alt="hr98w/jev-visual screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/hr98w--jev-visual/e05a42d934ea69ce.gif" width="100%" alt="hr98w/jev-visual animation"><br>_{animated recording · <a href="https://github.com/user-attachments/assets/c87c09d8-30d2-4392-b981-d0b5cf1879ae">Open video</a>}</td> </tr></table> </details> <details> <summary>🎮 <b><a href="https://github.com/jkudish/jev-browser">jkudish/jev-browser</a></b> · ⭐302 · JavaScript · 🔎 inferred · 0d</summary> ##### 📝 Summary Browser use using Typesafe's Jev model ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `inferred` | | Language | JavaScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **302** | | Last push | 2026-10-02 | | First listed | 2026-09-18 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/jkudish--jev-browser/9712e94d8402c3ec.gif" width="100%" alt="jkudish/jev-browser screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/jkudish--jev-browser/d9b7631c25d7db06.gif" width="100%" alt="jkudish/jev-browser animation"><br>_{animated recording · <a href="https://raw.githubusercontent.com/jkudish/jev-browser/main/assets/github-demo.mp4">Open video</a>}</td> </tr></table> </details> <details> <summary>🎮 <b><a href="https://github.com/aowang-ai/jev-trade">aowang-ai/jev-trade</a></b> · ⭐176 · TypeScript · 🔎 inferred · 11d · ⭐-1</summary> ##### 📝 Summary Live Jev trader on Hyperliquid ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `inferred` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **176** (-1) | | Last push | 2026-09-21 | | First listed | 2026-09-19 | 🏷 `hyperliquid` · `jev` · `quantitative-finance` · `typesafe` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/aowang-ai/jev-trade/main/assets/desk.png" width="100%" alt="aowang-ai/jev-trade screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> _{Asset hot-linked from the upstream repository because no redistribution licence was declared.} </details> <details> <summary>🎮 <b><a href="https://github.com/mrnugget/jev-shell-history">mrnugget/jev-shell-history</a></b> · ⭐117 · TypeScript · 🔎 inferred · 14d</summary> ##### 📝 Summary Fish-style zsh history autosuggestions ranked by Jev (TypeSafe) ##### 📌 Basic facts | Field | Value | | -------- | ----------------------------------------------------- | | Category | `Applications, games, robotics and interactive demos` | | Evidence | `inferred` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **117** | | Last push | 2026-09-18 | | First listed | 2026-09-18 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/mrnugget/jev-shell-history/main/demo/demo.gif" width="100%" alt="mrnugget/jev-shell-history screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/mrnugget/jev-shell-history/main/demo/demo.gif" width="100%" alt="mrnugget/jev-shell-history animation"><br>_{animated recording}</td> </tr></table> _{Asset hot-linked from the upstream repository because no redistribution licence was declared.} </details> <details> <summary><b>More in this category</b> _{· 38}</summary> - [jarrodwatts/jev-trader](https://github.com/jarrodwatts/jev-trader) - One AI trade decision every Monad block. Jev on Kuru MON-USDC. - [heyjunpenn/awesome-jev](https://github.com/heyjunpenn/awesome-jev) - A verified, community-maintained catalog of 962 open-source projects built with… - [droidrun/mobile-jev](https://github.com/droidrun/mobile-jev) - [moritzkremb/jev-voice-browser](https://github.com/moritzkremb/jev-voice-browser) - Control a real browser by voice. Jev (TypeSafe System One) decides intent +… - [NanmiCoder/jev-arena](https://github.com/NanmiCoder/jev-arena) - Jev 模型介绍与实测：通过 Choice / Score / Noul 将自然语言转为带类型的判断与概率，用于分类、评分和路由；支持与 DeepSeek… - [kevinbadi/jev-voice](https://github.com/kevinbadi/jev-voice) - Talk to your Mac. Local whisper.cpp + one Jev (TypeSafe) call per command +… - [bilune/jev-design](https://github.com/bilune/jev-design) - Can a model design a dashboard? A console whose whole design system is… - [emrickgarrett/OneVOneJev](https://github.com/emrickgarrett/OneVOneJev) - 1v1 Jev quickscope arena — Three.js + TypeSafe System One. - [BudEcosystem/Bud-Decision-Engine](https://github.com/BudEcosystem/Bud-Decision-Engine) - Bud Decision studio is an easy to use cross platform desktop application &amp;… - [paulsmith/computer-use-jev](https://github.com/paulsmith/computer-use-jev) - macOS computer use driven by Jev (TypeSafe System One) as the decision maker. - [DataGobes/jev-demos](https://github.com/DataGobes/jev-demos) - Small, honest demos of TypeSafe. - [PistachioAIHQ/jev-synergy-screening](https://github.com/PistachioAIHQ/jev-synergy-screening) - Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo… - [harsha89/jev-demo](https://github.com/harsha89/jev-demo) - Showcase of TypeSafe JEV classifying emails: spam (noul), category (choice) and… - [Tatuck/jev-boe-demo](https://github.com/Tatuck/jev-boe-demo) - Daily demo applying TypeSafe&#x27;s Jev model to Spain&#x27;s official gazette (BOE). - [AkashNaickar/jev-email-classifier](https://github.com/AkashNaickar/jev-email-classifier) - Chrome MV3 extension that classifies Gmail rows with TypeSafe Jev… - [BrendanH18/jev-lab](https://github.com/BrendanH18/jev-lab) - Six small apps and a workbench that show what TypeSafe. - [Cleobury/jev-harness](https://github.com/Cleobury/jev-harness) - Push-to-talk voice control for Windows: local Whisper, Windows OCR and… - [dansya-arsana/Muse-JevUltraFast](https://github.com/dansya-arsana/Muse-JevUltraFast) - Muse Optimized Browser with Jev Typesafe. - [fsans/pacman-jev](https://github.com/fsans/pacman-jev) - Pac-Man driven by Jev (TypeSafe System One): an experimental demo of… - [gbesse/bevy-jev](https://github.com/gbesse/bevy-jev) - Non-blocking, provenance-checked Jev decisions for Bevy ECS. - [gbesse/jev-openfisca-intake](https://github.com/gbesse/jev-openfisca-intake) - Transforme une situation exprimée en français en entrées confirmables pour une… - [gbesse/jev-premiere-markers](https://github.com/gbesse/jev-premiere-markers) - Turn typed Jev review findings into exact, undoable Premiere timeline markers. - [gbesse/jev-reseau-mobile-fit](https://github.com/gbesse/jev-reseau-mobile-fit) - Compare une affirmation de couverture mobile avec des observations et sources… - [jevplays-games/jev-checkers-analytics](https://github.com/jevplays-games/jev-checkers-analytics) - American checkers against Jev with inspectable decisions, verified leaderboards… - [jevplays-games/jev-connect-four](https://github.com/jevplays-games/jev-connect-four) - Connect Four vs Jev: server-authoritative matches, Discord identity, community… - [jevplays-games/jev-guess-who](https://github.com/jevplays-games/jev-guess-who) - Guess Who, human vs Jev: a server-authoritative deduction game with 24 original… - [jevplays-games/jev-mastermind](https://github.com/jevplays-games/jev-mastermind) - Two-leg Mastermind against Jev with a server-authoritative backend, replay… - [jevplays-games/jev-sudoku-analytics](https://github.com/jevplays-games/jev-sudoku-analytics) - Sudoku duel against Jev on separate boards with a server-owned race clock and… - [jevplays-games/jev-tic-tac-toe](https://github.com/jevplays-games/jev-tic-tac-toe) - Tic-tac-toe against Jev with an authoritative backend, verified leaderboards… - [jstdlee/jev-photos](https://github.com/jstdlee/jev-photos) - Photo organizer: explainable date/place decisions with jev, CLIP tags and… - [jstdlee/jev-recorder](https://github.com/jstdlee/jev-recorder) - USB voice recorder -&gt; evidence-safe archive, conversations, offline ASR… - [jstdlee/jev-spaceshooter-demo-julia1](https://github.com/jstdlee/jev-spaceshooter-demo-julia1) - Retro pixel space shooter steered by SupersonicLabs Julia 1. - [jstdlee/jev-spaceshooter-demo-laya](https://github.com/jstdlee/jev-spaceshooter-demo-laya) - Retro pixel space shooter steered by the Laya decision models… - [mraad/lunar-ollama-jev](https://github.com/mraad/lunar-ollama-jev) - Lunar lander flown live in the browser by a Jev-style decision model on local… - [neurogabo/jev-arena](https://github.com/neurogabo/jev-arena) - Run a Pokémon Champions battle arena locally with Jev, TypeSafe, and Pokémon… - [shamoniuniu/typesafe-jev-ui](https://github.com/shamoniuniu/typesafe-jev-ui) - TypeSafe Jev 调试台，支持 Choice、Score、Noul 和批量处理. - [realZachi/typesafe-adblock](https://github.com/realZachi/typesafe-adblock) - 🧹 Fun project: a Chrome extension that asks a tiny AI decision model. - [sorrycc/typesafe-snake](https://github.com/sorrycc/typesafe-snake) - Snake auto-played by TypeSafe. </details> <a id="media-discussions"></a> ## Writing, discussions and sibling lists Launch threads, independent write-ups and the other curated lists in this space. This repository is not the only one, and saying so is more useful than pretending otherwise. <details> <summary>📰 <b><a href="https://docs.typesafe.ai/model-jaggedness/jev-1.13">9 类已知缺陷（jaggedness）</a></b> · ✅ official · 15d</summary> ##### 📝 Summary Literal understanding, **unreliable counting**, date comparison, multiple levels of indirection, large state with irrelevant details, adversarial content, contradictions between instructions and criteria, structural invariants, and generation. The official recommendation is to "split them into atomic problems and combine them in code". > 💡 **Capability boundaries**—the vendor's own list of boundaries, fully archived ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Writing, discussions and sibling lists` | | Evidence | `official` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-20 | 🏷 `collection` · `官方` </details> <details> <summary>📰 <b><a href="https://docs.typesafe.ai/cookbooks/consistency_choice_cookbook">`consistency_choice` cookbook 正式回答了&quot;重复调用结果会变&quot;</a></b> · ✅ official · 15d</summary> ##### 📝 Summary The same review rubric, **8 Choice × each condition repeated 15 times**. TypeSafe **raw agree 90.8%** (2 of 8 questions flipped, but **conflicts=0**—the flips occurred only between "specific label ↔ uncertain"). **After adding an abstention rule (using `probabilities` to require top probability ≥ 0.60; otherwise `uncertain` routes to a human), agreement rose to 99.2%**, automatic 74.2%, **with no increase in model calls**. Comparison: Haiku t=0 100%, Opus 4.8 reasoning 92.5%, gpt-5.4-mini t=0 99.2%. Official statement: this does not make the model certain; these figures measure **repeatability, not correctness**; 0.60 is an example strategy, and production thresholds should be determined using labeled samples and costs. > 💡 **\[DEFINITION-CHANGE\]** Updated B5, the key figures table, SKILL.md hard rule 3 and launch item 6, and applicability boundary item 6—**this library previously recorded "non-determinism" as a risk; it is now changed to the official correct approach: manage it with abstention** ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Writing, discussions and sibling lists` | | Evidence | `official` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-20 | 🏷 `collection` · `官方` </details> <details> <summary>📰 <b><a href="https://docs.typesafe.ai/confidence">confidence 的官方语义确认</a></b> · ✅ official · 15d</summary> ##### 📝 Summary The official documentation explicitly states that `confidence` is a **statistic calculated from the `probabilities` distribution**; the more concentrated the distribution, the more certain it is; **Noul does not carry confidence**; it explicitly says "you are not locked into our definition"; thresholds should "start from a conservative value and measure on your own data." > 💡 Consistent with Archer's inverse formula, written into the definition file ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Writing, discussions and sibling lists` | | Evidence | `official` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-20 | 🏷 `collection` · `官方` </details> <details> <summary>📰 <b><a href="https://www.langchain.com/blog/building-a-harness-with-jev（2026-09-17">LangChain 官方博文解释了&quot;为什么 agent 护栏品类爆发&quot; — ，Sydney Runkle &amp; Hunter Lovell）</a></b> · ✅ official</summary> ##### 📝 Summary *"Coding harnesses like claude, codex, cursor have shipped some kind of way to classify dangerous actions… **Up until now, this classifier step has been locked away in the closed source parts of the harness. Now that a cheap and performant classifier model exists, we can take the same pattern and adopt it to all agents!**"*; it also provides a router example (using Jev to select a model according to custom criteria, with probabilities retained in agent state) and *"Jev isn't a drop-in replacement for an LLM"*. > 💡 **Explains the "productization of guardrail supplies" observed by this library**—open-sourced because of closed-source harness features; written into snippet library §2.5 ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Writing, discussions and sibling lists` | | Evidence | `official` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-20 | 🏷 `collection` · `官方/生态` </details> <details> <summary>📰 <b><a href="https://typesafe.ai/team">TypeSafe added a Team page + navigation added a `Enterprise` entry (productization/commercialization signal)</a></b> · ✅ official · 14d</summary> ##### 📝 Summary TypeSafe added a Team page + navigation added a `Enterprise` entry (productization/commercialization signal) > 💡 **\[DEFINITION-CHANGE\]** (team facts + productization signal); `01-系统定义/jev-系统定义.md` added **§6b/6c**; `references/README.md` quick facts card updated ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Writing, discussions and sibling lists` | | Evidence | `official` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-20 | 🏷 `collection` · `官方·定义级` </details> <details> <summary>📰 <b><a href="https://vercel.com/changelog/typesafe-ai-jev-now-available-on-ai-gateway">Vercel&#x27;s official changelog announced Jev is now available on AI Gateway</a></b> · ✅ official</summary> ##### 📝 Summary Vercel's official changelog announced Jev is now available on AI Gateway > 💡 Added **AI SDK usage** to the Vercel row in the snippet library (the actual increment); **the key figures table does not need changes** (the figures are already present) → **this round's definition-level change is downgraded to "No"** ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Writing, discussions and sibling lists` | | Evidence | `official` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-20 | 🏷 `collection` · `官方·定义级` </details> <details> <summary>📰 <b><a href="https://docs.typesafe.ai/llms.txt">发现并抓取 18 篇官方 cookbook 实战配方（此前完全缺失）</a></b> · ✅ official · 15d</summary> ##### 📝 Summary `llms.txt` has 111 pages site-wide; there were originally 30 local pages, and after the diff, `cookbooks/` was found to contain **18 recipes** (including runnable code, real datasets, and measured figures). Pulled them one by one and added `type: official-cookbook` frontmatter. > 💡 Created `03-能力边界/jev-官方cookbook配方.md` index page; **this is the layer that "takes you from principles to production"** ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Writing, discussions and sibling lists` | | Evidence | `official` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-20 | 🏷 `collection` · `官方` </details> <details> <summary>📰 <b><a href="https://github.com/typesafe-ai/skills（⭐128">安装官方 agent skill `typesafe-ai` — ，MIT）</a></b> · ✅ official · 15d</summary> ##### 📝 Summary `npx -y skills@latest add typesafe-ai/skills -s typesafe-ai -g -a '*' --copy -y` → installed to `~/.agents/skills/typesafe-ai/` (a single-file SKILL.md, 149 lines / 10 KB, covering 79 agents). Security assessment: Gen=Safe, Socket=0 alerts, Snyk=Low Risk. The only failed item was Eve (global installation unsupported, no impact). > 💡 Coexists with and complements our `jev` skill ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Writing, discussions and sibling lists` | | Evidence | `official` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-20 | 🏷 `collection` · `官方` </details> <details> <summary>📰 <b><a href="https://docs.typesafe.ai/llms.txt`">官方文档 diff 再次验证有效 — `</a></b> · ✅ official</summary> ##### 📝 Summary This round's diff found no new pages (30 articles + 18 cookbooks are all present); this indicates that the collector's diff logic is correct. > 💡 Retained as a fixed step for every round ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Writing, discussions and sibling lists` | | Evidence | `official` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-20 | 🏷 `collection` · `官方` </details> <details> <summary>📰 <b><a href="https://docs.typesafe.ai/models">官方文档索引与限流/上下文/定制政策全部核实</a></b> · ✅ official · 15d</summary> ##### 📝 Summary Endpoint `POST https://api.typesafe.ai/v1/systemone`; `jev-1.13.0`, aliases `jev-latest`/`jev-preview`; 64k/request, state + maximum question length 32k; rate limits of 250k tok/s and 1200 req/min with **dynamic adjustment**; text input only; Choice≤255, Score 2–10 tiers; **no fine-tuning, all accounts share the same weights**; customer data is not used for training; most accurate in English. > 💡 **Architecture/capability boundaries**—written into `01-系统定义/jev-系统定义.md` and `jev-能力与边界-准确定义.md` ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Writing, discussions and sibling lists` | | Evidence | `official` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-20 | 🏷 `collection` · `官方` </details> <details> <summary>📰 <b><a href="https://docs.typesafe.ai/migrating-to-v1">补齐官方缺失页：迁移到 v1 API</a></b> · ✅ official · 15d</summary> ##### 📝 Summary Preview endpoint `/preview/evaluation` → stable version **`POST /v1/systemone`**; `prompts` array → `questions` map; `responses` array → `answers` map; fields renamed **`probability`→`noul`, `chosen`→`choice`, `expectation`→`score`**; choice probabilities changed from an array to a map; **score probabilities are newly added in v1**; authentication unchanged. > 💡 Added to the archive `官方文档快照/migrating-to-v1.md`; this also provides a **second official-page discovery channel** (the documentation routing table for the official skill) ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Writing, discussions and sibling lists` | | Evidence | `official` | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | First listed | 2026-09-20 | 🏷 `collection` · `官方` </details> <details> <summary>📰 <b><a href="https://github.com/yibie/awesome-jev">yibie/awesome-jev</a></b> · ⭐2077 · Python · 👁️ observed · 0d · ⭐+1</summary> ##### 📝 Summary A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions. ##### 📌 Basic facts | Field | Value | | -------- | ---------------------------------------- | | Category | `Writing, discussions and sibling lists` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------- | | Stars | **2077** (+1) | | Last push | 2026-10-01 | | First listed | 2026-09-18 | 🏷 `awesome` · `awesome-list` · `jev` · `llm` </details> <details> <summary><b>More in this category</b> _{· 85}</summary> - [Anil-matcha/awesome-jev-by-typesafe](https://github.com/Anil-matcha/awesome-jev-by-typesafe) - Evidence-backed use cases, patterns, prompts, and starter code for TypeSafe Jev… - [cobanov/awesome-jev](https://github.com/cobanov/awesome-jev) - A curated, source-backed list of projects built with Jev, TypeSafe AI. - [hellogumbo/awesome-jev](https://github.com/hellogumbo/awesome-jev) - A community directory of projects built on Jev, TypeSafe AI. - [Turning GLM-5.3-Flash into a Jev-like decision model](https://news.ycombinator.com/item?id=49857656) - We found an approach to get Jev-like properties from standard LLMs like… - [Open-sourced jev architecture last year with model,paper and dataset](https://news.ycombinator.com/item?id=49736660) - Everyone now talks about the architecture that&amp;#x27;s not auto regressive and… - [What Is RLCD? The Secret Behind Jev](https://news.ycombinator.com/item?id=49829625) - [aliaihub/awesome-jev-usecases](https://github.com/aliaihub/awesome-jev-usecases) - Evidence-backed use cases, patterns, and guidance for building with Jev… - [Jev and System One Models: Calibration Beats Accuracy](https://news.ycombinator.com/item?id=49839510) - [Can Jev be trusted when it is confident? Half a million API calls say not always](https://news.ycombinator.com/item?id=49933643) - [OpenAI Answers TypeSafe's Jev with a Decision API Built on Luna](https://news.ycombinator.com/item?id=49896979) - [Contrastive Language Models: A Fast, Generalizable System One Model](https://news.ycombinator.com/item?id=49848279) - [Show HN: Agent Chaperone – Screen AI agent tool calls and results with Jev](https://news.ycombinator.com/item?id=49789538) - Hi everyone. TypeSafe released Jev last week, and it pushed me to build… - [Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev](https://news.ycombinator.com/item?id=49781612) - [Decision Index 0.2.1 – 70 open reproductions of TypeSafe Jev's "Decision Model"](https://news.ycombinator.com/item?id=49934879) - [I Couldn't Build Jev at OpenAI – Diogo Almeida, TypeSafe Co-Founder and CEO \[video\]](https://news.ycombinator.com/item?id=49817923) - [Jev and where a System One model fits in document processing](https://news.ycombinator.com/item?id=49881336) - [Jev: System One Models for Prod, Not God – With Diogo Almeida, CEO, TypeSafe AI](https://news.ycombinator.com/item?id=49794590) - [Show HN: AT0M – a Jev Like System One decision model in a single Rust binary](https://news.ycombinator.com/item?id=49907865) - [TypeSafe AI Jev vs. GPT-6 Astra](https://news.ycombinator.com/item?id=49798734) - [Decision models like Jev don't beat LLM-as-a-judge or traditional classifiers](https://news.ycombinator.com/item?id=49933476) - [Jev 1.13 Jaggedness](https://news.ycombinator.com/item?id=49784926) - [Jev Is Poorly Calibrated](https://news.ycombinator.com/item?id=49934399) - [Show HN: Jevopt: Making intelligent compiler optimisation decisions with Jev](https://news.ycombinator.com/item?id=49795171) - Can Jev optimise the size of compiled binaries better than clang -Oz? Turns out… - [Show HN: Knowledge Signal – A JEV-powered rubric assessment tool for study notes](https://news.ycombinator.com/item?id=49840561) - I built Knowledge Signal, an open-source prototype that turns study notes into… - [Show HN: onesie – An expressive Unix-pipeable CLI for System One models like Jev](https://news.ycombinator.com/item?id=49876472) - onesie is a Unix-style CLI for using System One models in shell pipelines… - [The Jagged Frontier of Jev 1.13](https://news.ycombinator.com/item?id=49809509) - [Calibrating Jev as a Code Reviewer](https://news.ycombinator.com/item?id=49803758) - [Contrastive Language Model (CLM): An Ultra-Fast System One Model](https://news.ycombinator.com/item?id=49827145) - [EU/Jev – First System One Model Hosted in the EU](https://news.ycombinator.com/item?id=49924685) - [Jev Decision Layer: Save Frontier Tokens on Closed Decisions](https://news.ycombinator.com/item?id=49933772) - [Jev Plays Manic Miner](https://news.ycombinator.com/item?id=49934041) - [Jevify skill – Gets your existing agents running on Jev](https://news.ycombinator.com/item?id=49812519) - Tried Jev when it came out last week and it&amp;#x27;s crazy fast. - [Replacing an agentic classification loop with Jev: 7x faster](https://news.ycombinator.com/item?id=49783806) - [Show HN: Decide – Jev decisions in the shell, scripts, and agent skills](https://news.ycombinator.com/item?id=49878492) - All software makes decisions. Code handles the deterministic ones. - [Show HN: I Built a GIF Decider with Jev](https://news.ycombinator.com/item?id=49817371) - Hey everyone! I wanted to try out a fun use case for Jev and had this idea… - [Show HN: Jev as the Bletchley Park Analyst: A Software Bombe on Enigma](https://news.ycombinator.com/item?id=49903792) - Watched a recent youtube veritasium on the enigma machine and was curious on… - [Show HN: Jev-CLI – CLI wrapper for JEV typesafe AI model](https://news.ycombinator.com/item?id=49786725) - [Typesafe.ai Jev Open Source Alternative Qwen-2.5-1B-RLCD](https://news.ycombinator.com/item?id=49734345) - [What TypeSafe Got Right with the Jev Launch](https://news.ycombinator.com/item?id=49891067) - [What you can build with TypeSafe AI Jev](https://news.ycombinator.com/item?id=49797360) - [Why are people excited about Jev?](https://news.ycombinator.com/item?id=49935181) - [ozers/jevsome-projects](https://github.com/ozers/jevsome-projects) - Open-source projects that provably call Jev, TypeSafe AI. - [RadRebelSam/awesome-jev](https://github.com/RadRebelSam/awesome-jev) - A crawler-maintained directory of projects built on Jev, TypeSafe AI. - [rhc98/awesome-jev](https://github.com/rhc98/awesome-jev) - Projects built on Jev. - [108 条声明对照：Jev 的校准并不独特（含作者自我修正）](https://truestandard.ai/blog/jev-accuracy-tested) - Cross-check of 108 statements: the calibration of Jev is not unique. - [\[cellcog.ai 追踪页\]() 自称分层记录 *"claims / concedes / measured / found, dated"* → 与本库锚页设计意图一致，值得长期对照](https://cellcog.ai/blog/jev-typesafe-decision-model) - [\`calibre\`：独立标定实验证明"阈值参数不跨数据集迁移"](https://github.com/FirasSX914/calibre) - Independently measured Jev calibration on two labeled datasets. - [\`classifier.dev\`：建在 Jev 上的免费零样本分类服务（含 agent skill）](https://classifier.dev) - Zero-shot classification HTTP service with **no API key and no account**; - [\`clownware/bouncer\` 提供目前最硬的第三方独立标定数据](https://github.com/clownware/bouncer) - Accuracy/Brier/reliability by bin for 6 questions: Brier **0.036–0.149**; - [\`Jev Judge vs Dimension Scores\`：分解不总是更好（含日语多语证据）](https://agentjournal.dev/blog/llm-judge-vs-feature-extraction/) - Compared &quot;one direct Jev question per task&quot; with. - [\`jevcal\`：最小样本经验值 \< 约 100 条不可信；并多做两件我们没做的事](https://github.com/abhixhek/jevcal) - 在自有带标签数据上拟合每问题置信度阈值 → 留出集验证 → **估算回退流量** → **在 CI 里复查已锁定阈值**. - [\`kaijia323/dsh-plugin-jev\`：DeepSeek Harness 的 Jev 插件（与本库同环境）](https://github.com/kaijia323/dsh-plugin-jev) - 把 Jev 接进 DSH，**注册原生工具 `jev_decide`**. - [New：\[InfoWorld（2026-09-17）\]() —— 企业媒体视角，用例清单：*"which tool to invoke, which action to take next, whether a request should be approved, when a task…](https://www.infoworld.com/article/4223468/typesafe-ais-new-models-work-with-machines-not-humans.html) - [OOD 校准审计："Jev 知道自己不知道吗？"](https://github.com/scienthoon/jev-ood-calibration) - [X 上一条新描述口径](https://x.com/testingcatalog/status/2099968075861008781) - Described Jev as *&quot;a small and customizable System One decision model&quot;*, and… - [X： \[@omarsar0\]()（Elvis Saravia, DAIR.AI）独立表述了本库的「铁律 1」](https://x.com/omarsar0/status/2099933100440494105) - *. - [X：\[@heyDhavall\]() 的简洁概括（*"why make software wait for an LLM to generate paragraphs when it really just needs decisions?"*）](https://x.com/heyDhavall/status/2099926342095798783) - X: concise summary by \[@heyDhavall\](). - [X：拿到本库最具体的单次成本数字 — \[@moritzkremb\]()](https://x.com/moritzkremb) - *. - [主 HN 帖规模](https://news.ycombinator.com/item?id=49717558) - **1862 points**；评论里正面为主（doom demo 酷、态度好），有一条被广泛引用的猜测. - [先例清单：\[ibl.ai\]() 指出 CriticGPT 与 Prometheus 2 都在 2024 年就做"判断模型" → 写进优先权争议页 §4d，与 Laya 的指称分开记；本库判断 Jev 与它们的真实差异是"把判断做成带类型与概率的一等 API"](https://ibl.ai/blog/jev-judge-model-evaluation-not-generation-enterprise) - [创始人第二段"原始初衷"（比第一段更锋利）：Diogo Almeida 经 \[Pat McGuinness Substack\]() 转引](https://patmcguinness.substack.com/p/jev-makes-fast-and-cheap-decisions) - [又一份"本地 vs 托管"选型实录：\[astgl.com\]()（James Cruce，09-22）—— 421M 开源模型在其 frozen replay 上胜过自制路由；他最终不选 Jev 是因为约束（数据不出本机、可控回退），并主动限定*"whether Laya beats Jev…](https://astgl.com/p/local-laya-vs-hosted-jev-typed-decisions) - [发现与本库做同一件事的 agent skill：\`decision-first\`](https://github.com/harrymunro/decision-first) - *. - [发现社区维护的完整索引 \`AbdelStark/awesome-typesafe\`（ 103）](https://github.com/AbdelStark/awesome-typesafe) - 把我们此前零散收集的生态补成一张完整的图，结构为「官方资源 / 客户端与集成 / agent 与开发者工具 / 浏览器 agent / 游戏机器人与交互… - [发现迄今最成熟的开源 Jev 实现：\`genai-craft/openvons\`（原 open-Jev， 7）](https://github.com/genai-craft/openvons) - **共享层 `openvons.core`** 含 Noul/Choice/Score 表示、决策策略… - [四条精准告诫（已写入 IO 契约 §S8） —— \[Wavect 独立评测\]()：](https://wavect.io/blog/jev-ai-decision-model-review) - [新用例：上下文压缩（LiteLLM 的 TypeSafe 护栏）](https://github.com/BerriAI/litellm) - `litellm/types/proxy/guardrails/guardrail_hooks/typesafe.py` implements a… - [独立第三方与我们的术语纪律收敛：\[HarnessRouter（2026-09-20）\]()](https://harnessrouter.ai/blog/what-is-a-system-one-model) - [生态跨过一条线：出现 Jev-HTTP-API 兼容的开源服务端](https://github.com/ekzhang/openjev-sglang（⭐**123**）) - *. - [第 11 份独立评测：克罗地亚语零样本 vs 自己微调的 BERT（\[Senko Rašić\]()，09-22）](https://blog.senko.net/analyzing-jev-a-new-ai-model) - [第 12 份独立评测：注入鲁棒性系统测试《Can Jev be jailbroken?》（\[tanh.xyz\]()，14,495 次记录调用，原始记录公开）](https://tanh.xyz/research-notes/jev-prompt-manipulation) - [第 9 份独立评测：\[@juanmacias《Testing TypeSafe's Jev - Legal Corpus》\]()](https://x.com/i/article/2100463318209048850) - [第三方 SDK 覆盖主流服务端语言：HN \`Show HN: Typesafe Java SDK (Unofficial)\`（\[item 49762324\]()）](https://news.ycombinator.com/item?id=49762324) - 加上此前的 Go / Rust（×3）/ Elixir / Ruby（×3）/ .NET / Rails，**第三方 SDK 已覆盖主流服务端语言**. - [第三方深度解读补充大量可操作实测](https://flaviocopes.com/jev) - ① **0.5 from Noul does not mean “medium”**; - [第三方独立实测：Classmethod / DevelopersIO](https://dev.classmethod.jp/en/articles/jev-for-llm-model-routing/) - All 40 calls succeeded, with 10/10 classifications correct; - [第三方独立实测：Vercel 生产集成（最重要产业证据）](https://x.com/rauchg/status/2100307962262872105) - The safety reviewer in fx. - [财经媒体的独立表态：\[TechStock²《…Its 445× Cost Claim Is Still Self-Tested》\]()（2026-09-17）：*"…leaves the biggest performance numbers dependent on TypeSafe's…](https://ts2.tech/en/typesafe-ai-raises-40-million-for-jev-but-its-445x-cost-claim-is-still-self-tested/) - [闭环信号：Archer 那篇文章上了 HN —— \`Jev's Architecture Unmasked\`（\[item 49766351\]()，1pt）](https://news.ycombinator.com/item?id=49766351) - Closed-loop signal: Archer. - [首个上市公司级集成：\[Aurora Mobile（NASDAQ: JG）的 GPTBots.ai 集成 Jev\]()（09-22）→ *"two-layer AI architecture: one layer that thinks, one layer that…](https://markets.businessinsider.com/news/stocks/aurora-mobile-s-gptbots-ai-integrates-jev-two-layers-of-ai-one-enterprise-platform-1036563338) - [首份关于 Jev 概率的强反证：\`jev-does-not-play-dice\`](https://github.com/KantaHayashiAI/jev-does-not-play-dice) - **Jev 报出的概率反映「模型有多确定」，不反映「世界有多随机」**。实测——公平六面骰 Choice：参考 16.7%、**Jev 报… - [AppitStudio/awesome-jev](https://github.com/AppitStudio/awesome-jev) - Curated Jev resources and runnable examples for typed AI decisions. - [stefanwebb/meta-awesome-jev](https://github.com/stefanwebb/meta-awesome-jev) - The Awesome List of Awesome Jev Lists. - [samTime101/Jev-emoji-reactor](https://github.com/samTime101/Jev-emoji-reactor) - integrated latest decision making model jev to classify emoji reading the… - [新的优先权主张（与 Laya 无关）：HN \`I built the Jev architecture one year ago and open-sourced it\`（2pts）→ \[r/LocalLLaMA 帖\]()；本轮只登记 URL 与主张，未读原文、不下判断，下一轮核实](https://www.reddit.com/r/LocalLLaMA/comments/1wijo3e/i_literally_built_the_jev_architecture_one_year/) - [X 社区：发布日官方账号被钓鱼](https://commondefense.ai/blog/typesafe-x-account-phished) - After @typesafeai was published at 11:17am on release day, the CEO reported it… </details> <a id="other"></a> ## Other projects <details> <summary>🧩 <b><a href="https://github.com/Liuziyu77/Valen">Liuziyu77/Valen</a></b> · ⭐561 · Python · 👁️ observed · 0d · ⭐+1</summary> ##### 📝 Summary Train a Jev-like multimodal model by yourself. System One Model, now with vision. ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **561** (+1) | | Last push | 2026-10-02 | | First listed | 2026-09-25 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/liuziyu77--valen/67f00b2e5b787edc.png" width="100%" alt="Liuziyu77/Valen screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/liuziyu77--valen/d4fa3bf5c399a28d.gif" width="100%" alt="Liuziyu77/Valen animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary>🧩 <b><a href="https://github.com/Futureppo/typesafe_register">Futureppo/typesafe_register</a></b> · ⭐132 · Python · 👁️ observed · 10d · ⭐-1</summary> ##### 📝 Summary typesafe.ai注册机，极致优化，无限jev ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **132** (-1) | | Last push | 2026-09-21 | | First listed | 2026-09-22 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/futureppo--typesafe_register/f058f3b3a08736ec.png" width="100%" alt="Futureppo/typesafe_register screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🧩 <b><a href="https://github.com/Mushroom-Systems/lichen">Mushroom-Systems/lichen</a></b> · ⭐58 · Python · 👁️ observed · 1d</summary> ##### 📝 Summary A local, API-compatible replacement for Jev, TypeSafe's System One model ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **58** | | Last push | 2026-09-30 | | First listed | 2026-09-25 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/mushroom-systems--lichen/1f492ec9d08e1a31.jpg" width="100%" alt="Mushroom-Systems/lichen screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🧩 <b><a href="https://github.com/deepanwadhwa/OpenDecision">deepanwadhwa/OpenDecision</a></b> · ⭐57 · Python · 👁️ observed · 6d</summary> ##### 📝 Summary OpenDecision is an open-source semantic decision engine like typesafe's jev. _{🔧 Found used in code: `examples/m3_typesafe_sdk_demo.py`} ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **57** | | Last push | 2026-09-25 | | First listed | 2026-09-19 | 🏷 `automation` · `jev` · `nli` · `nli-tasks` · `systemone` · `typesafe-ai` </details> <details> <summary>🧩 <b><a href="https://github.com/parth-kp/jev-mail-classifier">parth-kp/jev-mail-classifier</a></b> · ⭐19 · Python · 👁️ observed · 11d</summary> ##### 📝 Summary Classify your inbox with Jev (TypeSafe's System One model) — tag, move, flag, and notify, all config-driven. ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **19** | | Last push | 2026-09-20 | | First listed | 2026-09-19 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/parth-kp--jev-mail-classifier/08aebc25ef0891d7.png" width="100%" alt="parth-kp/jev-mail-classifier screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🧩 <b><a href="https://github.com/DreamBlooms/dohnuts.cpp">DreamBlooms/dohnuts.cpp</a></b> · ⭐11 · C++ · 👁️ observed · 0d</summary> ##### 📝 Summary The same decisions, on CPU. System One model that can run on your Personal Computer. ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `observed` | | Language | C++ | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **11** | | Last push | 2026-10-02 | | First listed | 2026-09-29 | 🏷 `decider` · `dohnuts` · `jev` · `kev` · `laya` · `llama-cpp` · `system-one` · `system-one-model` </details> <details> <summary>🧩 <b><a href="https://github.com/SoundBlaster/SwiftJev">SoundBlaster/SwiftJev</a></b> · ⭐7 · Swift · 👁️ observed · 0d</summary> ##### 📝 Summary Swift framework to access Jev System One model by TypeSafe.ai ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `observed` | | Language | Swift | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **7** | | Last push | 2026-10-02 | | First listed | 2026-09-30 | </details> <details> <summary>🧩 <b><a href="https://github.com/soderlind/ai-provider-for-jev">soderlind/ai-provider-for-jev</a></b> · ⭐5 · PHP · 👁️ observed · 13d</summary> ##### 📝 Summary Connect WordPress to TypeSafe's Jev System One model for structured decisions (choice, score, noul). ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `observed` | | Language | PHP | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **5** | | Last push | 2026-09-18 | | First listed | 2026-09-18 | </details> <details> <summary>🧩 <b><a href="https://github.com/AgentBull/bongard">AgentBull/bongard</a></b> · ⭐3 · Python · 👁️ observed · 0d</summary> ##### 📝 Summary Bongard: an encoder-decoder System One model that returns probabilities, not text ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **3** | | Last push | 2026-10-01 | | First listed | 2026-10-02 | </details> <details> <summary>🧩 <b><a href="https://github.com/DreamBlooms/ifReflex.cpp">DreamBlooms/ifReflex.cpp</a></b> · ⭐1 · C++ · 👁️ observed · 0d</summary> ##### 📝 Summary Any LLM can serve as the SystemOne decision model. And support for LLaDA-MoE/DiffusionGemma. ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `observed` | | Language | C++ | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-10-02 | | First listed | 2026-09-30 | 🏷 `diffusiongemma` · `djev` · `jev` · `llada` · `llama-cpp` · `semif` · `system-one` · `system-one-model` </details> <details> <summary>🧩 <b><a href="https://github.com/lab-emi/ChipLaya">lab-emi/ChipLaya</a></b> · ⭐1 · Python · 👁️ observed · 0d</summary> ##### 📝 Summary ChipLaya: a typed decision model for analog circuit design (Laya fine-tuned for amplifier topology decisions). The System One model of ChipJev. Independent fine-tune, not affiliated with Convai Innovations. ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `observed` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-10-01 | | First listed | 2026-10-02 | 🏷 `analog-circuit-design` · `chipjev` · `electronic-design-automation` · `laya` · `system-one` · `typed-decisions` </details> <details> <summary>🧩 <b><a href="https://github.com/philmui/system1">philmui/system1</a></b> · ⭐1 · TypeScript · 👁️ observed · 0d</summary> ##### 📝 Summary A System One Model-based Document Review System ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `observed` | | Language | TypeScript | ##### 📊 Data | Metric | Value | | ------------ | ---------- | | Stars | **1** | | Last push | 2026-10-01 | | First listed | 2026-10-01 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/philmui/system1/main/docs/screenshots/latency-live-desktop.png" width="100%" alt="philmui/system1 screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> _{Asset hot-linked from the upstream repository because no redistribution licence was declared.} </details> <details> <summary>🧩 <b><a href="https://github.com/jaredpalmer/kev">jaredpalmer/kev</a></b> · ⭐8295 · Python · 🔎 inferred · 0d · ⭐+15</summary> ##### 📝 Summary Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | -------------- | | Stars | **8295** (+15) | | Last push | 2026-10-02 | | First listed | 2026-09-21 | 🏷 `decision-model` · `jev` · `qwen3` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/jaredpalmer--kev/89688f04681f15ab.png" width="100%" alt="jaredpalmer/kev screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🧩 <b><a href="https://github.com/TypeLLM/TypeLLM">TypeLLM/TypeLLM</a></b> · ⭐909 · Python · 🔎 inferred · 0d · ⭐-2</summary> ##### 📝 Summary TypeLLM: LLMs with type-safe generation ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **909** (-2) | | Last push | 2026-10-02 | | First listed | 2026-09-23 | 🏷 `ai` · `jev` · `llms` · `types` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/typellm--typellm/abc23488e639f57c.png" width="100%" alt="TypeLLM/TypeLLM screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🧩 <b><a href="https://github.com/jev-chat/jev-chat-windows">jev-chat/jev-chat-windows</a></b> · ⭐720 · Python · 🔎 inferred · 4d · ⭐+3</summary> ##### 📝 Summary JevChat-Windows：聊天窗口旁挂的回复辅助。窗口截图 + 本地离线 OCR 读对方消息 → Jev 判断意图 → 3 条候选一键填入，发送永远手动 ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **720** (+3) | | Last push | 2026-09-28 | | First listed | 2026-09-22 | 🏷 `chat-assistant` · `jev` · `llm` · `local-first` · `ocr` · `privacy` · `pyqt` · `python` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/jev-chat/jev-chat-windows/main/docs/ui_home.png" width="100%" alt="jev-chat/jev-chat-windows screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> _{Asset hot-linked from the upstream repository because no redistribution licence was declared.} </details> <details> <summary>🧩 <b><a href="https://github.com/AgriciDaniel/jev-seo">AgriciDaniel/jev-seo</a></b> · ⭐472 · Python · 🔎 inferred · 10d · ⭐-2</summary> ##### 📝 Summary Live SEO audit for any website from one homepage URL, judged by Jev. PDF, XLSX and Markdown reports. ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **472** (-2) | | Last push | 2026-09-22 | | First listed | 2026-09-30 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/agricidaniel--jev-seo/c9545da3837f86ac.png" width="100%" alt="AgriciDaniel/jev-seo screenshot"></td> <td align="center" valign="top">_{no media published}</td> </tr></table> </details> <details> <summary>🧩 <b><a href="https://github.com/TianyuCodings/JevHarness">TianyuCodings/JevHarness</a></b> · ⭐468 · Python · 🔎 inferred · 11d · ⭐+3</summary> ##### 📝 Summary LLM-authored task-specific Jev harnesses with optional full-trajectory reward reflection and GEPA evolution. ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **468** (+3) | | Last push | 2026-09-21 | | First listed | 2026-09-22 | --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/TianyuCodings/JevHarness/main/docs/screenshots/pokemon-evolution.png" width="100%" alt="TianyuCodings/JevHarness screenshot"></td> <td align="center" valign="top"><a href="https://raw.githubusercontent.com/TianyuCodings/JevHarness/main/docs/media/pokemon-comparison.mp4"><img src="https://raw.githubusercontent.com/TianyuCodings/JevHarness/main/docs/screenshots/pokemon-evolution.png" width="100%" alt="TianyuCodings/JevHarness video"></a><br>_{<a href="https://raw.githubusercontent.com/TianyuCodings/JevHarness/main/docs/media/pokemon-comparison.mp4">Open video</a>}</td> </tr></table> _{Asset hot-linked from the upstream repository because no redistribution licence was declared.} </details> <details> <summary>🧩 <b><a href="https://github.com/jev-chat/jev-chat-jarvis-mac">jev-chat/jev-chat-jarvis-mac</a></b> · ⭐452 · Python · 🔎 inferred · 2d · ⭐-1</summary> ##### 📝 Summary 聊天悬浮窗助手（macOS）：屏幕感知 + 本地小模型判断意图与风险，按话术生成回复候选。纯只读。 ##### 📌 Basic facts | Field | Value | | -------- | ---------------- | | Category | `Other projects` | | Evidence | `inferred` | | Language | Python | ##### 📊 Data | Metric | Value | | ------------ | ------------ | | Stars | **452** (-1) | | Last push | 2026-09-30 | | First listed | 2026-09-22 | 🏷 `llm` · `local-first` · `macos` · `ocr` · `privacy` · `pyobjc` · `python` --- <table><tr><th align="center" width="50%">🖼 Image</th><th align="center" width="50%">🎬 Video</th></tr><tr> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/jev-chat--jev-chat-jarvis-mac/daa9ab5c1715d764.gif" width="100%" alt="jev-chat/jev-chat-jarvis-mac screenshot"></td> <td align="center" valign="top"><img src="https://raw.githubusercontent.com/wh000wh000/awesome-jev-live/main/media/jev-chat--jev-chat-jarvis-mac/daa9ab5c1715d764.gif" width="100%" alt="jev-chat/jev-chat-jarvis-mac animation"><br>_{animated recording}</td> </tr></table> </details> <details> <summary><b>More in this category</b> _{· 114}</summary> - [RahulKumarsingh2001/Jev-systemOne-model](https://github.com/RahulKumarsingh2001/Jev-systemOne-model) - [turenlabs/lisa](https://github.com/turenlabs/lisa) - LISA: Leak, Injection &amp; Simplicity Auditor. - [anatwork14/system-one-model-collections](https://github.com/anatwork14/system-one-model-collections) - [arthrp/libre-jevlike-rs](https://github.com/arthrp/libre-jevlike-rs) - [jerichosiahaya/naluri](https://github.com/jerichosiahaya/naluri) - Naluri: instinctive, multilingual decisions in one pass. - [luc-pimentel/system-one-code-review](https://github.com/luc-pimentel/system-one-code-review) - How well do System One models review pull requests? 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在 X 的时间线上，给每条帖子标出它想让你干什么。判断来自 Jev，一个只返回概率、不生成文本的模型. - [comoc/jev-minesweeper](https://github.com/comoc/jev-minesweeper) - TypeSafe Jev (System One) にブラウザ上のマインスイーパーを解かせるデモ. - [rawwerks/one-system](https://github.com/rawwerks/one-system) - Use local and hosted classifiers aka decision models aka Jev-like models, all… - [aleskxyz/kev-onnx](https://github.com/aleskxyz/kev-onnx) - Self-hosted, TypeSafe-compatible /v1/systemone API server for the KEV decision… - [Charlyhno-eng/jev-document-classification](https://github.com/Charlyhno-eng/jev-document-classification) - JEV Document Classification enables the rapid and cost-effective classification… - [lbotinelly/jev-little-airways](https://github.com/lbotinelly/jev-little-airways) - A show-and-tell capability study for Jev, TypeSafe. - [prateekmedia/ly](https://github.com/prateekmedia/ly) - Manipulate images via chat, uses Jev like model to classify prompt. - [XingQiPan/rwkv-jev](https://github.com/XingQiPan/rwkv-jev) - 基于 RWKV-7 (g1k-1b) 的 Jev 式零生成决策引擎：受限 softmax 直读概率分布，支持 noul/choice/score… - 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Classe des aides publiques selon leur adéquation avec un projet territorial… - [gbesse/jev-air-episode-context](https://github.com/gbesse/jev-air-episode-context) - Explique un épisode de pollution atmosphérique à partir de mesures… - [gbesse/jev-alimconfiance-followup](https://github.com/gbesse/jev-alimconfiance-followup) - Compare des contrôles sanitaires successifs et prépare une conclusion de suivi… - [gbesse/jev-anr-overlap](https://github.com/gbesse/jev-anr-overlap) - Repère les recouvrements thématiques possibles entre projets de recherche… - [gbesse/jev-association-dossier-proof](https://github.com/gbesse/jev-association-dossier-proof) - Évalue la cohérence entre l. - [gbesse/jev-baac-scene-pattern](https://github.com/gbesse/jev-baac-scene-pattern) - Regroupe des accidents corporels en configurations descriptives sans attribuer… - [gbesse/jev-balo-material-event](https://github.com/gbesse/jev-balo-material-event) - Transforme une annonce BALO en événement d. - [gbesse/jev-bnf-authority-match](https://github.com/gbesse/jev-bnf-authority-match) - 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Qualifie les situations locales à traiter avant la fermeture du réseau cuivre. - [gbesse/jev-dataes-practice-fit](https://github.com/gbesse/jev-dataes-practice-fit) - Rapproche un besoin de pratique sportive des caractéristiques documentées des… - [gbesse/jev-datagouv-schema-drift](https://github.com/gbesse/jev-datagouv-schema-drift) - Qualifie les évolutions de schéma et de ressources d. - [gbesse/jev-datatourisme-intent-fit](https://github.com/gbesse/jev-datatourisme-intent-fit) - Rapproche une intention de sortie de lieux touristiques documentés et justifie… - [gbesse/jev-dotation-locale-proof](https://github.com/gbesse/jev-dotation-locale-proof) - Évalue si un dossier de dotation locale contient des preuves suffisamment… - [gbesse/jev-dpe-travaux-map](https://github.com/gbesse/jev-dpe-travaux-map) - Regroupe des recommandations DPE en scénarios de travaux lisibles et… - [gbesse/jev-dvf-comparable](https://github.com/gbesse/jev-dvf-comparable) - Qualifie la comparabilité de mutations DVF pour documenter une estimation… - [gbesse/jev-eau-potable-bulletin](https://github.com/gbesse/jev-eau-potable-bulletin) - Produit un bulletin de vigilance compréhensible à partir de résultats de… - [gbesse/jev-eco2mix-shift-brief](https://github.com/gbesse/jev-eco2mix-shift-brief) - Décrit les changements du mix électrique français à partir des séries éCO2mix… - [gbesse/jev-essms-proof](https://github.com/gbesse/jev-essms-proof) - Évalue la solidité des preuves associées aux résultats d. - [gbesse/jev-exposure-radar](https://github.com/gbesse/jev-exposure-radar) - Trace DeFi incident exposure through sourced portfolio dependencies with… - [gbesse/jev-fibre-readiness](https://github.com/gbesse/jev-fibre-readiness) - Qualifie la préparation d. - [gbesse/jev-fonds-vert-analogue](https://github.com/gbesse/jev-fonds-vert-analogue) - Repère des projets Fonds vert analogues sans transformer une similarité en… - [gbesse/jev-gallica-source-context](https://github.com/gbesse/jev-gallica-source-context) - Replace un extrait OCR de Gallica dans son contexte éditorial et distingue… - [gbesse/jev-gare-access](https://github.com/gbesse/jev-gare-access) - Prépare une revue d. - [gbesse/jev-georisques-preflight](https://github.com/gbesse/jev-georisques-preflight) - Prépare les points de vigilance d. - [gbesse/jev-hatvp-action-scope](https://github.com/gbesse/jev-hatvp-action-scope) - Classe les actions déclarées par les représentants d. - [gbesse/jev-hemicycle](https://github.com/gbesse/jev-hemicycle) - Suit les documents parlementaires qui affectent matériellement un sujet déclaré. - [gbesse/jev-ift-record-review](https://github.com/gbesse/jev-ift-record-review) - Prépare un enregistrement phytopharmaceutique avant son calcul officiel d. - [gbesse/jev-inclusion-service-fit](https://github.com/gbesse/jev-inclusion-service-fit) - Classe les offres d. - [gbesse/jev-insersup-claim-check](https://github.com/gbesse/jev-insersup-claim-check) - Vérifie si une affirmation d. - [gbesse/jev-irve-trip-fit](https://github.com/gbesse/jev-irve-trip-fit) - Classe des bornes de recharge selon les contraintes exprimées pour un trajet et… - [gbesse/jev-joconde-notice-review](https://github.com/gbesse/jev-joconde-notice-review) - Relit les notices des musées de France et signale les incohérences… - [gbesse/jev-jurisprudence-shift](https://github.com/gbesse/jev-jurisprudence-shift) - Compare des motifs de décisions françaises et signale les évolutions possibles… - [gbesse/jev-lab](https://github.com/gbesse/jev-lab) - 59 open-source projects exploring typed AI decisions with Jev. - [gbesse/jev-legifrance-impact](https://github.com/gbesse/jev-legifrance-impact) - Détecte quelles dispositions juridiques modifiées peuvent affecter une activité… - [gbesse/jev-marches](https://github.com/gbesse/jev-marches) - Trie les avis de marchés publics français selon les capacités déclarées d. - [gbesse/jev-marianne](https://github.com/gbesse/jev-marianne) - Versionne les engagements politiques et détecte comment les promesses sourcées… - [gbesse/jev-mediation-numerique-fit](https://github.com/gbesse/jev-mediation-numerique-fit) - Oriente une difficulté numérique vers le niveau d. - [gbesse/jev-medicament-doc-shift](https://github.com/gbesse/jev-medicament-doc-shift) - Classe les changements entre versions de notices et documents officiels d. - [gbesse/jev-meteo-vigilance-brief](https://github.com/gbesse/jev-meteo-vigilance-brief) - Transforme un bulletin officiel de vigilance en briefing opérationnel adapté à… - [gbesse/jev-objet-seconde-vie](https://github.com/gbesse/jev-objet-seconde-vie) - Oriente un objet usagé vers une solution locale de réparation, réemploi, don ou… - [gbesse/jev-parcoursup-expectations](https://github.com/gbesse/jev-parcoursup-expectations) - Compare un profil candidat aux attendus publiés d. - [gbesse/jev-patrimoine-travaux-scope](https://github.com/gbesse/jev-patrimoine-travaux-scope) - Compare des travaux envisagés aux parties décrites comme protégées d. - [gbesse/jev-qualiscope-action](https://github.com/gbesse/jev-qualiscope-action) - Transforme un signal Qualiscope en niveau d. - [gbesse/jev-riviere-signal-context](https://github.com/gbesse/jev-riviere-signal-context) - Replace un groupe de mesures de cours d. - [gbesse/jev-subvention-croisee](https://github.com/gbesse/jev-subvention-croisee) - Détecte les recouvrements possibles entre subventions attribuées à un même… - [gbesse/jev-vscode-review](https://github.com/gbesse/jev-vscode-review) - Typed Jev review diagnostics anchored to exact selected VS Code lines. - [gbesse/jev-zan-project-trace](https://github.com/gbesse/jev-zan-project-trace) - Qualifie la nature foncière d. - [gbesse/mautic-jev-intent](https://github.com/gbesse/mautic-jev-intent) - Jev intent classification for Mautic form submissions. - [kyan001/dsh-jev-thinking](https://github.com/kyan001/dsh-jev-thinking) - Ask TypeSafe. - [LiLittleCat/jev-playlist-classify](https://github.com/LiLittleCat/jev-playlist-classify) - Classify large playlists by song language with TypeSafe AI. - [LuKks/like-jev](https://github.com/LuKks/like-jev) - Jev-compatible typed decisions (choice, score, noul) with local Core ML and… - [PolicyPhantom/jev-runtime-governance-poc](https://github.com/PolicyPhantom/jev-runtime-governance-poc) - Bounded runtime-governance PoC for integrating probabilistic semantic decision… - [shuenrui/all-jev-play](https://github.com/shuenrui/all-jev-play) - Every public build using Jev (TypeSafe System One): 322 entries, test status… - [yasumorishima/jev-baseball](https://github.com/yasumorishima/jev-baseball) - Testing TypeSafe Jev (a decision-only model) on MLB ABS pitch challenges: does… - [Rizzo-AI-Academy/rizzo-flow](https://github.com/Rizzo-AI-Academy/rizzo-flow) - The open, local take on Jev: typed decisions from an LLM, without generating a… - [receptron/laya](https://github.com/receptron/laya) - Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js… - [razorback16/openjev](https://github.com/razorback16/openjev) - Open, Jev-compatible System One decision server on DiffusionGemma. - [jerryjliu/docjev](https://github.com/jerryjliu/docjev) - A very fast document classifier/splitter using Jev. - [PostHog/jeeves](https://github.com/PostHog/jeeves) - Jeeves – Reasoning improves Jev-like decision models. - [codejunkie99/keel](https://github.com/codejunkie99/keel) - Local-first macOS coding workspace with local Laya and optional Jev decision… - [iapp-technology/openthai-systemone](https://github.com/iapp-technology/openthai-systemone) - OpenThai-SystemOne: open Thai + English System One decision model. - [peterfriese/system-one-foundation-models](https://github.com/peterfriese/system-one-foundation-models) - A lightweight, native Swift 6 bridge integrating TypeSafe AI. - [hawkymisc/typed-decision-bert](https://github.com/hawkymisc/typed-decision-bert) - Unofficial PoC: a BERT-style encoder decision engine behind a typed-decision… - [InterfazeAI/lev](https://github.com/InterfazeAI/lev) - An open System One decision model. </details> <a id="projects-by-implementation-language"></a> ## Projects by implementation language The ecosystem is concentrated in Python and TypeScript, but typed clients keep appearing in other languages. This table is generated from the entries themselves. | Language | Entries | Examples | | ---------- | ------- | ------------------------------------------------------------------------------------------------------- | | Python | 330 | `typesafe-ai/system-one-adapter-python`, `typesafe-ai/typesafe-sdk-python`, `typesafe-ai/WorkflowEvals` | | JavaScript | 159 | `clouatre-labs/decisions-judge-mcp`, `socai-io/jev-social`, `Ying-Kai-Liao/jev-browser` | | TypeScript | 132 | `typesafe-ai/typesafe-sdk-js`, `TypeSafeAI/jev-harness`, `glacer06/bandwise` | | Rust | 29 | `supercorp-ai/supercov`, `AkashPriyadarshii/jev-curate`, `AkashPriyadarshii/jev-seo` | | HTML | 21 | `typesafe-ai/typesafe-ai.github.io`, `yzfly/awesome-jev-zh`, `AkashPriyadarshii/jev-superpowers` | | Go | 14 | `frodi-karlsson/onesie`, `Protocol-Lattice/GoEventBus`, `devbackend/jevgo` | | Java | 10 | `Premo-Cloud/typesafe-sdk-java`, `CMaintz/jev-java`, `Olti1947/jev-java` | | C# | 6 | `CMaintz/jev-dotnet`, `saibimajdi/typesafeai-dotnet-sdk`, `pinkroosterai/SystemOneSharp` | | C++ | 6 | `gbesse/mariadb-jev`, `jev-ai-desktop/Jev-AI-Desktop`, `feder-cr/jev` | | Swift | 5 | `john-rocky/coreai-kit`, `seulkikaang/jev-emoji-claude-lesson`, `Algorythm-Canada/OpenJevSwift` | | Elixir | 4 | `dannote/jev`, `Elue-dev/jev_elixir`, `nshkrdotcom/system_one_sdk` | | Jupyter | 3 | `jexp/neo4jev`, `avnish-deobhakta/jev-clinical-calibration`, `bitnovus/jev-spam-eval` | | Kotlin | 3 | `agugliotta/jev-kmp`, `MiaoWuNYA/rikkahub-sillytavern-android`, `jev-chat/jev-chat-jarvis` | | PHP | 3 | `Butochnikov/laravel-typesafe-jev`, `gbesse/wordpress-jev-rules`, `soderlind/ai-provider-for-jev` | | PowerShell | 3 | `BFLabsAI/bf-jev-deep-research`, `omni-/ask-jev`, `dfinke/Jev` | | C | 2 | `CheshiAI/Cheshi`, `giuliosmall/pg_typesafe` | | Ruby | 2 | `Ray-Hughes/jevalyn`, `obie/ruby_decision_model` | | Astro | 1 | `heyjunpenn/awesome-jev` | | CSS | 1 | `yangzhou-chaofan/awesome-jev-prompt` | | Haskell | 1 | `getmissionctrl/hs-jev` | | Lua | 1 | `gbesse/roblox-jev-studio` | | MQL5 | 1 | `RichieLoco/JevGate` | | Nushell | 1 | `cablehead/jev.nu` | | Shell | 1 | `realZachi/pg-jev` | | TeX | 1 | `dnakhoa/jev-deferred-crispification` | _{Only entries that declare a language are counted. Infrastructure, documentation and discussion entries are excluded from this table.} ## How this list stays current No human edits the body of this README. The repository runs a five-stage pipeline on a schedule and only commits when something actually changed. <img src="assets/readme/pipeline.svg" width="100%" alt="How this list stays current"> | | | | ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **collect** | GitHub search across a query matrix, the official organisation, GitHub code search, Hacker News and the Hugging Face hub. | | **curate** | deterministic and LLM-free, so two consecutive runs on the same input produce byte-identical output. A two-signal rule decides relevance; name collisions (JeVois, JEvents, Jevil, jEveAssets, ESP32-RLCD and similar) are excluded by an explicit, auditable list. | | **media** | collects each project's own screenshots and screen recordings. Assets are only copied into this repository when the project declares a redistribution-friendly licence; otherwise the upstream URL is hot-linked and the card says so. | | **render** | produces every language edition from one template, so the twenty READMEs can never drift apart in structure. | | **audit** | fails the build if an entry lacks a URL, if a link is dead, if two entries duplicate a URL, or if a README drifts from its generated form. | ## Contributing Corrections are welcome and are the fastest way to improve this list. Open an issue or a pull request if an entry is misfiled, mis-graded, or if a project has been wrongly excluded as a name collision — that last category is where automated filters are most likely to be wrong. Additions are best made by adding a source to `scripts/collect.py` rather than by editing the README, because the README is regenerated on every tick. --- _{Independent community project. Not affiliated with, endorsed by, or reviewed by TypeSafe AI. Product behaviour, pricing, limits and model aliases change without notice; verify anything load-bearing against the official documentation. Assets remain the property of their upstream projects and are reproduced only where a licence permits.} _{Generated by · `render.py` · 2026-10-03T01:11:39+08:00}