skrun

<p align="center"> <img src="assets/banner.svg" alt="Skrun — Deploy any Agent Skill as an API" width="600"> </p> <h1 align="center">Skrun</h1> <p align="center"> <b>Deploy any Agent as an API via <code>POST /run</code>.</b><br> The open, multi-model runtime for AI agents — works with any LLM, on any infrastructure. </p> <p align="center"> _{The open-source alternative to Claude Managed Agents (CMA) and Google's Gemini Enterprise Agent Platform (GEAP) — multi-model, self-hostable, MIT.} </p> <p align="center"> <a href="https://github.com/skrun-dev/skrun/actions"><img alt="CI" src="https://img.shields.io/github/actions/workflow/status/skrun-dev/skrun/ci.yml?branch=main&style=for-the-badge&logo=github&label=CI"></a> <a href="https://www.npmjs.com/package/@skrun-dev/cli"><img alt="npm CLI" src="https://img.shields.io/npm/v/@skrun-dev/cli?style=for-the-badge&logo=npm&label=CLI&color=CB3837"></a> <a href="https://www.npmjs.com/package/@skrun-dev/sdk"><img alt="npm SDK" src="https://img.shields.io/npm/v/@skrun-dev/sdk?style=for-the-badge&logo=npm&label=SDK&color=CB3837"></a> <a href="https://github.com/skrun-dev/skrun/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/skrun-dev/skrun?style=for-the-badge&logo=github&color=FFD700"></a> <a href="LICENSE"><img alt="License" src="https://img.shields.io/badge/License-MIT-blue?style=for-the-badge"></a> </p> <p align="center"> <img alt="Node" src="https://img.shields.io/badge/Node-%E2%89%A520-339933?style=for-the-badge&logo=node.js&logoColor=white"> <img alt="TypeScript" src="https://img.shields.io/badge/TypeScript-strict-3178C6?style=for-the-badge&logo=typescript&logoColor=white"> <img alt="MCP" src="https://img.shields.io/badge/MCP-compatible-8B5CF6?style=for-the-badge"> </p> <p align="center"> <a href="#-why-skrun">Why</a> · <a href="#️-use-cases">Use Cases</a> · <a href="#-quick-start">Quick Start</a> · <a href="#-dashboard">Dashboard</a> · <a href="#-sdk">SDK</a> · <a href="#-features">Features</a> · <a href="#-documentation">Docs</a> </p> <p align="center"> <img src="docs/assets/flow.gif" alt="Skrun demo: push an agent, explore the dashboard, run it in the playground" width="800"> </p> <p align="center">_{<b>4 steps:</b> (1) <code>skrun deploy -m "initial release"</code> from your terminal → (2) the agent appears in the dashboard → (3) open the Playground, fill the input → (4) click Run, watch SSE events stream in real time, see the result.}</p> --- ## 🎯 Why Skrun? You shipped an AI capability. It works on your machine. But every user, every customer, every new model brings new plumbing. **Skrun is the open agent runtime.** Turn your skill — declared as `SKILL.md`, `AGENTS.md`, or your own format — into a `POST /run` endpoint. Without building your own agent loop. Without picking a vendor. Without locking your users behind a wall. **Any model. Any cloud. BYOK. MIT.** Your skill stays portable. ### What you get - ✅ Your skill stays in your repo, in the format you choose. Skrun is a deployment target — your repo stays the source of truth. - ✅ Compatible with the [Agent Skills open standard](https://agentskills.io) (`SKILL.md`) and [AGENTS.md](https://agents.md) (Linux Foundation). Your existing skill works. - ✅ Users bring their own LLM keys. You're never on the hook for their costs. - ✅ Self-host on your infrastructure (Node 20+, SQLite or Postgres). [Self-hosting guide](docs/self-hosting.md). Cloud (coming soon). - ✅ MIT. Multi-model: Claude, GPT, Gemini, Mistral, Groq, Grok, Ollama. - ✅ Wrap existing scripts gradually. No big-bang rewrite required. ### Skrun vs vendor runtimes | | Skrun | CMA / GEAP / Vendor runtimes | |--|-------|-----------------| | **Models** | Claude, GPT, Gemini, Mistral, Groq, Grok + any OpenAI-compatible endpoint (DeepSeek, Kimi, Qwen, Ollama, vLLM…) | One provider only | | **Deployment** | Self-hosted (Node + SQLite/Postgres) or our cloud (coming soon) | Vendor cloud only | | **Format** | `SKILL.md` ([agentskills.io](https://agentskills.io), 40+ platforms), `AGENTS.md` ([Linux Foundation](https://agents.md)), or your own | Proprietary | | **Streaming** | SSE + async webhooks | Varies | | **License** | MIT | Closed | | **Auth** | GitHub OAuth + API keys — multi-tenant namespaces | Vendor console only | | **LLM keys** | Bring your own keys | Vendor billing only | --- ## 🏗️ Use Cases ### 🚀 For OSS skill maintainers — close the issues you can't answer today You wrote `changelog-generator` (or `research-to-brief`, or `incident-postmortem`). It works in Claude Code. Stars are climbing. Then someone opens issue #34: *"How do I run this from a CI pipeline?"* Issue #41: *"Can I integrate this with Linear?"* Issue #58: *"My status-page automation needs this."* Today you respond: *"Sorry, this is a SKILL.md — you need Claude Code installed."* Half abandon. **With Skrun:** `skrun deploy`, you reply with a curl command. Issue closed in 5 minutes instead of 3 hours of setup. The drop-off between "starred it" and "actually running it" disappears. ### 🛠️ For internal AI platforms — visibility and standardization without rewriting Your team has accumulated 12 LLM-powered scripts in 2 years. Each engineer rolled their own. One left last week — three of his scripts are crashing silently. Your LLM bill went 5x without explanation. The board asked twice "what's our AI strategy?" — you don't have one. **With Skrun:** wrap existing scripts gradually as skills (or `AGENTS.md`, or your own format). No big-bang rewrite. One dashboard for all AI calls — cost per feature, failure modes, ownership. Your team standardizes on one declarative format. New engineers read a manifest in 30 seconds instead of reverse-engineering 800 lines. ### 🎯 For freelance & agencies — stop bricolating per-client AI deliveries Each new client means 2-3 weeks of build. You glue Express + Anthropic SDK + Vercel for each delivery. The plumbing is identical 70% of the time. Worse: when a client wants to switch from Anthropic to OpenAI 3 months later, you're back rewriting auth + retry + fallback logic. **With Skrun:** same skill format, deploy per client. Model swap is a YAML edit. Your client gets a stable `POST /run` endpoint **they own** — they can host on their infra, swap models, take over anytime. You ship the skill, not a server you maintain. --- ## 💬 What would *you* deploy? What skill would you turn into an API tomorrow? What's missing in your current agent setup? **[Tell us in Discussions](https://github.com/skrun-dev/skrun/discussions)** — we read every post, and it shapes what we build next. --- ## 🚀 Quick Start ```bash npm install -g @skrun-dev/cli skrun init --from-skill ./my-skill # or: skrun init my-agent skrun deploy -m "initial release" # build + push + get your API URL skrun verify dev/my-skill@1.0.0 # admin step — auto-admin in local dev skrun run dev/my-skill -i '{"query":"analyze this"}' ``` That's it. Your agent is verified, callable via the CLI, and reachable as a `POST /run` HTTP endpoint: ```bash curl -X POST http://localhost:4000/api/agents/dev/my-skill/run \ -H "Authorization: Bearer dev-token" \ -H "Content-Type: application/json" \ -d '{"input": {"query": "analyze this"}}' ``` > `dev-token` is for local development. In production, authenticate via [GitHub OAuth or API keys](docs/api.md#authentication) — your GitHub username becomes your namespace, and a separate admin role gates `skrun verify`. → **[10-minute tutorial](docs/getting-started.md)** · **[Concepts](docs/concepts.md)** · **[API reference](docs/api.md)** --- ## 📊 Dashboard <p align="center"> <img src="docs/assets/dashboard/home.png" alt="Skrun Operator Dashboard — Home" width="900"> </p> Every Skrun registry ships with a full operator dashboard at `/dashboard`. No separate install, no extra env var. - **Home** — workspace stats, 24h/7d toggles, recent activity, top agents. - **Agents** — sortable list with run counts, token usage, verification status. - **Agent detail** — per-agent metrics, versions with notes, metadata, try-it curl. - **Runs** — every execution across all agents, filterable by agent/ID/status/model. - **Run detail** — full I/O, tokens, cost, model, event timeline (tool calls, LLM calls). - **Playground** — call any agent interactively, watch SSE events live, save outputs. - **Settings** — profile + API keys (`sk_live_*`) with one-shot reveal and revocation. → **[Screenshot tour of all 7 pages](docs/getting-started.md#6-explore-the-dashboard)** --- ## 📦 SDK ```bash npm install @skrun-dev/sdk ``` ```typescript import { SkrunClient } from "@skrun-dev/sdk"; const client = new SkrunClient({ baseUrl: "http://localhost:4000", token: "dev-token", }); // Sync — get the result const result = await client.run("dev/code-review", { code: "const x = 1;" }); console.log(result.output); // Stream — real-time events for await (const event of client.stream("dev/code-review", { code: "..." })) { console.log(event.type); // run_start, tool_call, llm_complete, run_complete } // Async — fire and forget with webhook callback const { run_id } = await client.runAsync("dev/agent", input, "https://your-app.com/hook"); // Pin a specific agent version — reproducible, no silent drift const pinned = await client.run("dev/code-review", input, { version: "1.2.0" }); console.log(pinned.agent_version); // "1.2.0" — always echoed back // Push with a note (like a git commit message) await client.push("dev/code-review", bundle, "1.3.0", { message: "Added retry logic" }); ``` 9 methods: `run`, `stream`, `runAsync`, `push`, `pull`, `list`, `getAgent`, `getVersions`, `verify`. **Zero runtime dependencies**, Node.js 20+. --- ## ✨ Features | Feature | Description | |---------|-------------| | 🤖 **Multi-model** | 6 built-in providers (Anthropic, OpenAI, Google, Mistral, Groq, xAI) + any OpenAI-compatible endpoint (DeepSeek, Kimi, Qwen, Ollama, vLLM…) — with automatic fallback | | 🔧 **Tool calling** | Local scripts (`scripts/`) + MCP servers (`npx`) — same ecosystem as Claude Desktop | | 💾 **Stateful** | Agents remember across runs via key-value state | | 📡 **Streaming** | SSE real-time events (`run_start` → `tool_call` → `run_complete`) + async webhooks | | 📦 **Typed SDK** | `npm install @skrun-dev/sdk` — `run()`, `stream()`, `runAsync()` + 6 more methods | | 📊 **Operator Dashboard** | Web UI at `/dashboard` — agents, runs, stats, settings, integrated playground with SSE streaming | | 📖 **Interactive API docs** | OpenAPI 3.1 schema + Scalar explorer at `GET /docs` | | 🔐 **Production auth** | GitHub OAuth login + API keys (`sk_live_*`) + multi-tenant namespaces | | 🗄️ **Persistent storage** | Pluggable database — SQLite for local dev (zero-config, file-based), Supabase PostgreSQL for production | | 🔑 **Caller keys** | Users bring their own LLM keys via `X-LLM-API-Key` — zero cost for operators | | ✅ **Agent verification** | Verified flag controls script execution — safe for third-party agents | | 📌 **Version pinning + notes** | Pin a specific agent version per call (`version: "1.2.0"`) or attach a note at push (`-m "..."`) — reproducible integrations, visible changelog | | 🌍 **Environment separation** | Agent behavior (model, tools) separated from runtime environment (networking, timeout, sandbox). Per-run overrides via POST /run body | | 📁 **Files API** | Unified `/api/files` namespace for both directions — upload binary inputs (image/PDF/audio) via `POST /api/files`, download agent-produced artifacts via `GET /api/files/:id/content` | | 🖼️ **Multimodal inputs** | Declare `type: file` inputs (image / PDF / audio) in `agent.yaml`. Agents read images directly via vision (no OCR upstream). 3 transports: file_id ref, base64 inline, URL. Capability check at `skrun deploy/push` refuses incompatible model+media. | | 📦 **Script dependencies** | Drop a standard `package.json` (Node) or `requirements.txt` / `pyproject.toml` (Python) at the bundle root. Skrun resolves deps on first run, caches at `~/.skrun/deps/<hash>/` for instant subsequent runs. Auto-detects pnpm/yarn/npm + uv/poetry lockfiles for reproducible installs. | | 🎯 **Tool choice** | Force the LLM to invoke a specific tool (top-level `tool_choice: <name>`), require any tool (`tool_choice: required`), block tool use (`none`), or mark per-tool invariants with `required: true`. Native cross-provider support (Anthropic / Gemini / OpenAI / xAI) with graceful soft-fallback when a directive isn't natively supported. | | 💸 **Native prompt caching** | Automatic across 5 providers (Anthropic / OpenAI / Gemini / xAI / Groq) — 30-90% input cost savings on repeated content (system prompts + tools + reference documents). Anthropic gets explicit `cache_control` injection on the system + tools prefixes; OpenAI / xAI / Groq / Gemini benefit from implicit caching. Cost-tracking accuracy improves to ±5% of provider invoice via the new `cache_read_tokens` / `cache_write_tokens` fields in `usage`. Track dollar savings live (`cost.saved`) and on the dashboard. | | 📊 **Structured logs** | JSON to stdout via pino — pipe to Axiom, Datadog, ELK. `LOG_LEVEL` env var controls verbosity | --- ## 🧪 Demo agents Eight runnable demos under [`agents/`](./agents/) — each produces a real, downloadable artifact (PDF, XLSX, PPTX, ZIP, CSV, MD). All use Google Gemini Flash by default (free tier). Change the `model` section in `agent.yaml` to use any [supported provider](#-features). ### For OSS developers | Agent | What it does | Artifact | |-------|--------------|----------| | 📝 [changelog-generator](agents/changelog-generator/) | Reads your local `git log` between two tags, groups commits by Conventional Commit type, drafts release notes | `CHANGELOG.md` + `release-notes.md` | | 📐 [adr-writer](agents/adr-writer/) | Captures an architectural decision (context / options / decision / consequences) as a numbered Markdown ADR — auto-numbers from your existing `adrs/` folder | `NNNN-<slug>.md` | ### For internal-platform / engineering teams | Agent | What it does | Artifact | |-------|--------------|----------| | 🎯 [meeting-transcript-to-action-items](agents/meeting-transcript-to-action-items/) | Extracts decisions + action items from a Zoom/Teams transcript. **Stateful** — auto-resolves prior actions when next meeting mentions them as done | `actions.csv` + `recap.md` | | 🛡️ [semgrep-rule-creator](agents/semgrep-rule-creator/) | Turns a CVE description + bad-code snippet into a complete Semgrep rule bundle (rule + tests + rationale) | `rule.yml` + `tests.md` + `README.md` | ### For freelancers / analysts / biz operators | Agent | What it does | Artifact | |-------|--------------|----------| | 📊 [csv-to-executive-report](agents/csv-to-executive-report/) | CSV → analyzed multi-page PDF with charts + narrative + summary table | `report.pdf` | | 🎤 [slide-deck-generator](agents/slide-deck-generator/) | Markdown outline → polished `.pptx` with brand color, title/content/closing layouts, speaker notes | `deck.pptx` | | 🧾 [receipts-to-expenses](agents/receipts-to-expenses/) | Receipt photos (vision-native) + optional bank statement → categorized expense workbook + summary PDF | `expenses.xlsx` + `monthly.pdf` | ### Universal | Agent | What it does | Artifact | |-------|--------------|----------| | 🧠 [knowledge-base-from-vault](agents/knowledge-base-from-vault/) | Folder of Markdown notes (Obsidian/Notion/raw) → navigable static HTML site. **Stateful** — concept index densifies across runs | `kb.zip` (HTML+CSS) | <details> <summary><b>Earlier minimal demos</b></summary> Shorter examples that each illustrate one primitive (model fallback, MCP, state, scripts) without producing artifacts: [code-review](agents/code-review/) · [pdf-processing](agents/pdf-processing/) · [seo-audit](agents/seo-audit/) · [data-analyst](agents/data-analyst/) · [email-drafter](agents/email-drafter/) · [web-scraper](agents/web-scraper/) </details> <details> <summary><b>Try one locally</b></summary> ```bash # 1. Start the registry (uses SQLite — data persists across restarts) cp .env.example .env # add your GOOGLE_API_KEY pnpm dev:registry # keep this terminal open # 2. In another terminal — pick any agent (changelog-generator is the lightest) skrun login --token dev-token cd agents/changelog-generator skrun build && skrun push -m "v1 — first push" skrun verify dev/changelog-generator@1.0.0 # admin step; dev-token = auto-admin # 3. Call it (uses the bundled fixture — no real git repo needed) skrun run dev/changelog-generator \ -i '{"repo_path": "./fixtures/sample-repo.git-log.txt", "project_name": "demo"}' # Or via raw HTTP: curl -X POST http://localhost:4000/api/agents/dev/changelog-generator/run \ -H "Authorization: Bearer dev-token" \ -H "Content-Type: application/json" \ -d '{"input": {"repo_path": "./fixtures/sample-repo.git-log.txt", "project_name": "demo"}}' # 4. Download the artifacts via the Files API (run_id from response) curl http://localhost:4000/api/runs/<run_id>/files/CHANGELOG.md \ -H "Authorization: Bearer dev-token" -o CHANGELOG.md ``` > **Windows (PowerShell):** use `curl.exe` instead of `curl`, and pass `-d "@input.json"` for the body. > **Python demos** (slide-deck-generator, csv-to-executive-report, receipts-to-expenses) and the **Node demo** (knowledge-base-from-vault): no manual install. Skrun's runtime auto-resolves each agent's `requirements.txt` / `package.json` on first call and caches at `~/.skrun/deps/<hash>/`. See the [Script dependencies](docs/agent-yaml.md#script-dependencies) reference. </details> --- ## 💻 CLI | Command | Description | |---------|-------------| | `skrun init [dir]` | Create a new agent | | `skrun init --from-skill <path>` | Import existing skill | | `skrun dev` | Local server with POST /run (mock, free) | | `skrun test` | Run agent tests (real LLM) | | `skrun build` | Package `.agent` bundle | | `skrun push -m "note"` | Push with a version note | | `skrun verify <ns>/<name>@<v>` | Mint admin-verified trust on a version (admin only) | | `skrun unverify <ns>/<name>@<v>` | Revoke verification (admin only) | | `skrun run <ns>/<name>[@<v>]` | Invoke an agent — `-i` inline, `-f` file, `--stdin` pipe | | `skrun deploy -m "note"` | Build + push + live URL | | `skrun pull <agent>` | Download agent bundle | | `skrun login` / `logout` | Authentication (OAuth or token) | | `skrun logs <agent>` | Execution logs (planned) | → **[Full CLI reference](docs/cli.md)** --- ## 🌐 Self-hosting Skrun is MIT — deploy anywhere. - **SQLite (default)** — zero config, file-based, survives restarts. Good for local dev and single-node. - **Supabase** — production-grade PostgreSQL. Set `DATABASE_URL` + `SUPABASE_KEY`. - **Any cloud** — Fly.io, AWS, GCP, Hetzner, bare metal. Caddy or nginx in front. - **GitHub OAuth** — users sign in with GitHub, their username becomes their namespace. → **[Self-hosting guide](docs/self-hosting.md)** — step-by-step with env vars, reverse proxy, migrations. --- ## 📚 Documentation - 📖 **[Getting Started](docs/getting-started.md)** — 10-minute tutorial with dashboard screenshots - 🧠 **[Concepts](docs/concepts.md)** — vocabulary reference (agent, skill, run, namespace…) - 🌐 **[Self-hosting](docs/self-hosting.md)** — deploy on your own infrastructure - 🔧 [agent.yaml](docs/agent-yaml.md) · [CLI](docs/cli.md) · [API](docs/api.md) — full references - 🎮 [Interactive API explorer](http://localhost:4000/docs) — live Scalar UI (start the registry first) - 📋 [OpenAPI schema](http://localhost:4000/openapi.json) — import into Postman / Insomnia - 📝 [Changelog](CHANGELOG.md) · 🤝 [Contributing](CONTRIBUTING.md) --- ## 👥 Community - 💬 [GitHub Discussions](https://github.com/skrun-dev/skrun/discussions) — ask questions, share agents - 🐛 [Issues](https://github.com/skrun-dev/skrun/issues) — report bugs, request features - ⭐ [Star the repo](https://github.com/skrun-dev/skrun) if you like the project! --- ## 🤝 Contributing ```bash git clone https://github.com/skrun-dev/skrun.git cd skrun pnpm install && pnpm build && pnpm test ``` See [CONTRIBUTING.md](CONTRIBUTING.md) for conventions and setup. --- ## 📜 License [MIT](LICENSE) — free to use, modify, self-host, and build on top.