metaharness

<div align="center"> # MetaHarness <!-- readme-motion: hero --> <a href="docs/visual-walkthrough.md"><img src="docs/assets/visuals/hero.svg" alt="MetaHarness: your repo, your agent, your harness. A layered rotating torus and orange trajectory introduce a factory for custom agent harnesses." width="100%"></a> <!-- /readme-motion: hero --> ### Mint a custom AI agent harness from any repo. `npx metaharness` · [open the Studio →](https://ruvnet.github.io/metaharness/) _{(Repo: `ruvnet/metaharness` · CLI: `metaharness` · Library: `@ruvnet/agent-harness-generator`)} [](https://ruvnet.github.io/metaharness/) [](docs/USERGUIDE.md) [](docs/ARCHITECTURE.md) [](https://github.com/ruvnet/metaharness/actions/workflows/published-smoke.yml) [](LICENSE) [](https://ruvnet.github.io/metaharness/) </div> <!-- readme-motion: trailer --> <a href="docs/visual-walkthrough.md"><img src="docs/assets/visuals/trailer.svg" alt="MetaHarness in motion: four animated architecture and workflow chapters. Open the complete walkthrough." width="100%"></a> [**Explore the full animated walkthrough →**](docs/visual-walkthrough.md) · 12 chapters · 96-second full tour · 32-second preview [Earlier 20-chapter capability tour](docs/assets/metaharness-walkthrough.svg) · [Open the Studio](https://ruvnet.github.io/metaharness/) <table> <tr><td width="50%"><a href="docs/visual-walkthrough.md"><img src="docs/assets/visuals/icon-generate.svg" width="48" height="48" alt="Generate: Generate an owned harness from project choices."></a><br><strong>Generate</strong><br>A harness for your repo</td><td width="50%"><a href="docs/visual-walkthrough.md"><img src="docs/assets/visuals/icon-govern.svg" width="48" height="48" alt="Govern: Govern tools with explicit policy and audit."></a><br><strong>Govern</strong><br>Tools with explicit policy</td></tr> <tr><td width="50%"><a href="docs/visual-walkthrough.md"><img src="docs/assets/visuals/icon-evolve.svg" width="48" height="48" alt="Evolve: Evaluate changes through Darwin Mode."></a><br><strong>Evolve</strong><br>Evaluate harness changes</td><td width="50%"><a href="docs/visual-walkthrough.md"><img src="docs/assets/visuals/icon-ship.svg" width="48" height="48" alt="Ship: Publish your customized and validated package."></a><br><strong>Ship</strong><br>Your name. Your package.</td></tr> </table> <!-- /readme-motion: trailer --> --- ## What this is <a href="docs/visual-walkthrough.md"><img src="docs/assets/visuals/header-create.svg" alt="MetaHarness generates an owned, customized agent harness." width="100%"></a> **Every serious repo deserves its own agent.** A repo-aware CLI, a repo-aware coding agent, a local MCP server, memory scoped to the project, skills generated from the actual file layout, governance policy, release verification, witness-signed provenance. `metaharness` mints those, on demand, from a GitHub URL or a blank slate. **It is not another agent framework. It is a factory for agent frameworks.** The model is replaceable. The harness is the product. ## What it gives you In under 60 seconds, in your browser, with nothing leaving your machine: - A custom AI agent harness for your repo (or any repo) - Recommended agents, skills, slash commands, MCP tools - A scoped memory namespace + governance policy - Witness-signed provenance + release gates - Drops into Claude Code, OpenAI Codex, pi.dev, Hermes, OpenClaw, RVM, or Prime Agent — pick one or all Output is an npm-publishable `.zip` with **your name on it, your branding, your `npx <your-name>` CLI**. ### New * Bounded contrastive harness development: `@metaharness/darwin/contrastive` adds scoped proposals, actual probes, selective composition and metered experiment memory behind immutable caller policy. [API guide](packages/darwin-mode/CONTRASTIVE.md). Independent paired confirmation adds unseen-task, statistical and regression checks. Public intent-classification evidence remains separate from general agent performance claims. [Watch Darwin evolve a harness](docs/visual-walkthrough.md#evolve) · [Explore model routing](docs/visual-walkthrough.md#routing) · [Review experimental extensions](docs/visual-walkthrough.md#extensions) - **Run an experimental ARC-AGI-3 harness from the ChatGPT UI.** [`@metaharness/arc-agi-3`](packages/arc-agi-3/) owns exact observations, persistent evidence-backed memory, belief-state exploration, guarded actions, supervisor interventions, checkpoints, and hash-chained receipts. [`@metaharness/arc-agi-3-chatgpt`](packages/arc-agi-3-chatgpt/) exposes that controller as a remote MCP server and MCP Apps canvas for ChatGPT Developer Mode. ChatGPT is the OpenAI reasoning host: neither package uses the OpenAI API or an `OPENAI_API_KEY`. An opt-in ARC-specific AVO loop adds governed candidate selection, lineage, memory, blocking supervision, and an explicitly separate retrodiction arm. The frozen synthetic mechanism gate passes, and one actor-declared-clean single-game smoke favored AVO 3.2676 to 0.3968, but that non-competition result is not claim-eligible. All packages remain private and experimental; no ARC performance claim is made until an official closed scorecard satisfies the frozen controlled-ablation gate in [ADR-254](docs/adrs/ADR-254-arc-avo-controlled-ablation.md). - **Governed autonomous variation for difficult engineering work.** [`@metaharness/avo`](packages/avo/) lets an agent repeatedly inspect, edit, execute real tools, evaluate, repair/revert, branch, consult structured RVF memory, and commit—while MetaHarness retains immutable capabilities, budgets, promotion, quarantine, rollback, and signed replay receipts. Simple work stays on Darwin's fast path. The runtime has a deterministic 205-action RVF interruption proof; the stronger “AVO-class” claim remains blocked on the preregistered 100-task unseen SWE-bench gate in [ADR-251](docs/adrs/ADR-251-governed-autonomous-variation-runtime.md). [ADR-276](docs/adrs/ADR-276-avo-release-claim-evidence-gate.md) now enforces that boundary at publication against the exact tag SHA and npm tarball, protected claim semantics, measured cost, lineage roots, and two independent graders. - **Run your harness on Prime Agent — and borrow its best ideas.** The 10th host ([`@metaharness/host-prime-agent`](packages/host-prime-agent/), `--host prime-agent`) emits your tools as project-scoped, Python-backed Prime Agent skills (`.prime/agent/skills/` — the host has no MCP) plus an install runbook. **Fail-closed**: Prime Agent can't enforce a deny-list itself, so a non-empty deny-list ships a prominent `SANDBOX-REQUIRED.md` instead of silently dropping your posture. From its design we also shipped **RefineMutator** — an evidence-backed proposer in [`@metaharness/darwin`](https://www.npmjs.com/package/@metaharness/darwin) that must cite the failing traces behind each edit or propose nothing — and an opt-in `--sessions` crash-recoverable JSONL session log whose Rust and TS (wasm) replays produce identical state hashes. Its PTC ("kernel as the only tool") claim is honestly *deferred* behind a pre-registered A/B in `evals-toolcall`. See [ADR-246](docs/adrs/ADR-246-prime-agent-continual-harness-refine.md) / [ADR-247](docs/adrs/ADR-247-host-prime-agent.md). ($0) - **Score any repo before you build it.** `npx metaharness score <repo>` reads the repo (never runs it) and prints a one-screen report card — how well a harness fits, how likely it is to build, how safe the tools are, and the rough **cost per run** — so you know what you'll get before scaffolding. - **Pick the cheapest model that's good enough.** [`@metaharness/router`](https://www.npmjs.com/package/@metaharness/router) routes each request to the right model from your own results — same quality, far less spend. Works out of the box with zero native deps; **train it on your data** for a sharper fit (`npm i @metaharness/router`). Add the optional [`@ruvector/tiny-dancer`](https://www.npmjs.com/package/@ruvector/tiny-dancer) to train a fast native model instead — same training data, no API change. - **Route through a learned field without replaying predecessor context.** [`@metaharness/field-memory`](packages/field-memory/) is an experimental, single-process-by-default packed-attractor layer with verified outcome caps, support quarantine, decay, cost-aware choice, and no raw-episode API. Its RuVector adapter fails closed unless a corrected flat-index wrapper is used. - **Let your harness improve itself.** Every scaffold now ships with **Darwin Mode** ([`@metaharness/darwin`](https://www.npmjs.com/package/@metaharness/darwin)) wired in — run `npm run evolve` and the harness mutates its own config, tests each change in a sandbox, and keeps only what *measurably* improves. The model stays frozen; the harness evolves. Safe by default (no network, no API key; pure refactor/tuning behind a safety gate). Validated on real **SWE-bench Lite** bug-fixing. `--no-darwin` to skip. - **Opt into field memory without copying its implementation.** Add `--field-memory` to scaffold a small bootstrap around the forthcoming `@metaharness/field-memory@^0.1.0` package. The generated harness uses packed attractors, three distinct verifier-derived principals for support, no hysteresis, and a bounded drift window. Principal independence depends on the verifier's identity system. It will not open storage or accept shared updates until the deployment supplies an absolute storage path, a compatible adapter, and a principal verifier backed by deployment authentication. Package influence caps are centroid-local; fleet-wide admission and rate limits belong in that verifier. The RuVector adapter requires a configuration-verified, in-place FlatIndex with cosine distance and rejects HNSW or unverified legacy stores. Minimum support quarantines routing but does not make stored singleton aggregates confidential; protect field snapshots and registry storage. A deployment-secret identity hash key of at least 32 bytes is also required and must survive state restore. Conflicting package declarations or an existing field module fail before disk writes, and `harness upgrade` reapplies the opted-in overlay only after validating its exact, versioned manifest contract. Unsupported overlay schemas require an explicit migration. `storage.writerScope: process` requires one writer service; multi-process or fleet use requires `distributed`. The flag is off by default, so existing scaffold output is unchanged. - **Distil the cheap tier instead of escalating to a frontier model.** **Weight-EFT** ([`@metaharness/weight-eft`](packages/weight-eft/), `metaharness weight-eft`) takes the *complementary* lever to Darwin's gradient-free evolution: it exports the harness's gold-resolved archive into standard SFT/DPO sets and LoRA-tunes the open cheap tier (GLM/Qwen), so the cost-cascade escalates to Opus/GPT **less often**. It attacks **cost** (fewer $0.50 escalations), not the frontier ceiling — and stays honest about it. Strict train/eval-disjointness + reward-hacking filters keep the lift real; the tune is a *gene* Darwin can prune if it overfits. See [ADR-198](docs/adrs/ADR-198-weight-eft-hybrid-policy-weight-evolution.md). ($0 / GPU-gated.) ## Tune it to your project — then ship it as your own npm A generated harness is a **starting point you own**, not a fixed framework. Open it and make it yours: - **Keep only what your repo needs.** Delete the agents, skills, slash commands, and MCP servers you won't use — the scaffold ships a recommended set, but a payments service and a docs site want very different harnesses. A smaller, targeted harness is faster, cheaper, and easier to reason about. `harness doctor` / `harness validate` keep it healthy as you trim. - **Optimize the model routing for your work.** Swap the per-task model tiers, tighten the governance policy, point the memory namespace at your domain. The harness is config you control, not a black box. - **Publish it as your own package for the whole org.** Rename it, set your scope, and `npm publish` — now anyone on your team runs `npx @your-org/your-harness` and gets the *same* repo-tuned agent. One command, org-wide, versioned like any other dependency. (The 19 [`@metaharness/*`](examples-packages/) examples are exactly this pattern, published live.) **Make older, cheaper models punch like frontier ones.** The right harness isn't a pile of extra steps bolted onto an expensive model — it's putting the *right* model on each task and getting out of the way. Our [DRACO](packages/bench/draco/) benchmark proves it: a small, cheap model delivers **frontier-quality** research at roughly **one-tenth the cost**, and a smart router squeezes out the rest. Stop paying frontier prices for work a $0.10 model does just as well. That router ships as [`@metaharness/router`](https://www.npmjs.com/package/@metaharness/router) — `route(query)` returns the cheapest model predicted to clear your quality bar, learned from your own eval logs. `npm i @metaharness/router`. ## Try it in 30 seconds <a href="docs/visual-walkthrough.md"><img src="docs/assets/visuals/header-start.svg" alt="Start with the Studio, the wizard, or the CLI." width="100%"></a> ```bash # In the browser — zero install, nothing leaves the page open https://ruvnet.github.io/metaharness/ # Or in the terminal — the same harness (behaviourally equivalent output) npx metaharness my-bot --template vertical:coding --host claude-code cd my-bot && npx . --help ``` **Don't know what to pick?** Run the wizard: ```bash npx metaharness --wizard ``` **Already have a repo you want a harness for?** ```bash harness analyze-repo . # local — deterministic analysis only harness analyze-repo . --scaffold my-bot # materialise the recommended harness ``` No repository code is executed. Inferred build/test commands are emitted as `trust: inferred · execution: disabled`. 📖 **[Read the plain-language user guide →](docs/USERGUIDE.md)** --- ## Hosts <a href="docs/visual-walkthrough.md"><img src="docs/assets/visuals/header-hosts.svg" alt="Connect your harness to Claude Code, Codex, RVM, and other hosts." width="100%"></a> <a href="docs/visual-walkthrough.md#hosts"><img src="docs/assets/visuals/04-hosts.svg" alt="Bring your preferred host. The same generated harness connects through distinct host adapters." width="100%"></a> The same harness output runs on **ten** agent hosts — nine interactive, plus GitHub Actions (CI/CD): | Host | What ships | Notes | |---|---|---| | [**Claude Code**](https://code.claude.com/docs/en/mcp) | MCP server + hooks + 3-scope settings | Richest surface; Ruflo-native | | [**OpenAI Codex**](https://developers.openai.com/codex) | MCP via `~/.codex/config.toml` | TOML, no hooks | | [**pi.dev**](https://pi.dev/) | Pi extension via `pi.registerTool()` | No MCP by design | | [**Hermes**](https://hermes-agent.nousresearch.com/docs/) | MCP runtime, `<think>` scrubbing | Per Hermes issue #741 | | [**OpenClaw**](https://github.com/openclaw/openclaw) | `~/.openclaw/openclaw.json` + workspace skills | Personal-AI gateway | | [**RVM**](https://github.com/ruvnet/rvm) | Bare-metal microhypervisor + capability tokens | Hardware isolation for untrusted peers | | [**GitHub Copilot**](https://code.visualstudio.com/docs/copilot/mcp) | MCP via `.vscode/mcp.json` | VSCode 1.99+ (ADR-032) | | [**OpenCode**](https://opencode.ai/) | MCP via `.opencode/opencode.json` | sst/opencode TUI (ADR-036) | | [**Prime Agent**](packages/host-prime-agent/) | `.prime/agent/` skills (Python-backed, no MCP) + `install-prime-agent.md` | Fail-closed sandbox posture (ADR-247) | | [**GitHub Actions**](https://docs.github.com/actions) | `.github/workflows/` + composite `action.yml` | **Non-interactive** CI/CD; default-deny via `permissions:` (ADR-033) | See [ADR-004 — Host integration model](docs/adrs/ADR-004-host-integration-model.md) and [ADR-033 — GitHub Actions host](docs/adrs/ADR-033-host-github-actions.md). --- ## MCP — modular, default-deny <a href="docs/visual-walkthrough.md"><img src="docs/assets/visuals/header-policy.svg" alt="Modular MCP, explicit policy, and restrictive defaults." width="100%"></a> MCP is included as a first-class **adapter surface, not the identity**. It is gated and default-deny ([ADR-022](docs/adrs/ADR-022-mcp-primitive.md)): - Modes: `off` · `local` (stdio) · `remote` (HTTPS + auth) - Emits `src/mcp/{server,tools,resources,prompts,policy,audit}.ts` + a scannable `.harness/mcp-policy.json` - Safe defaults: no network, no shell, no file-write, approve-dangerous, 30s timeout, 8 calls/turn, audit on - `harness mcp-scan <path>` — *"npm audit for agent tools"*: static-only scan flagging shell/network grants, missing audit/timeouts, wildcard permissions, unguarded secrets, unpinned deps. Exits 1 on any HIGH. --- ## Verticals (19 quick-start templates) ```bash npx metaharness --list npx metaharness my-bot --template vertical:coding ``` | Category | Templates | |---|---| | Starter / Operations | `minimal`, `vertical:devops` | | Engineering | `vertical:coding`, `vertical:ai`, **`vertical:repo-maintainer`** (iter 113) | | Knowledge | `vertical:research`, `vertical:ruview`, `vertical:education` | | Finance / Pro | `vertical:trading`, `vertical:legal`, `vertical:health` | | Customer / Growth | `vertical:support`, `vertical:crm`, `vertical:marketing`, `vertical:advertising`, `vertical:sales` | | Business / Frontier | `vertical:business`, `vertical:agentics`, `vertical:gaming`, `vertical:exotic` | Each ships bespoke domain agents (with system prompts), skills, commands, and per-host settings — all default-deny. --- ## One-command examples Don't want to pick flags? Each host and vertical has a dedicated `@metaharness/*` wrapper — **published, one `npx` away**, no template/host flags to remember. A scaffold from a wrapper is byte-identical to the equivalent `metaharness` invocation. **Host integrations** | Package | Scaffolds | npm | |---|---|---| | `npx @metaharness/claude-code my-bot` | Claude Code workspace + plugin | [](https://www.npmjs.com/package/@metaharness/claude-code) | | `npx @metaharness/codex my-bot` | OpenAI Codex | [](https://www.npmjs.com/package/@metaharness/codex) | | `npx @metaharness/hermes my-bot` | Hermes cli-config | [](https://www.npmjs.com/package/@metaharness/hermes) | | `npx @metaharness/pi-dev my-bot` | pi.dev AGENTS.md | [](https://www.npmjs.com/package/@metaharness/pi-dev) | | `npx @metaharness/openclaw my-bot` | OpenClaw `.openclaw/` | [](https://www.npmjs.com/package/@metaharness/openclaw) | | `npx @metaharness/rvm my-bot` | RVM deployment partition | [](https://www.npmjs.com/package/@metaharness/rvm) | | `npx @metaharness/copilot my-bot` | VSCode / Copilot `mcp.json` | [](https://www.npmjs.com/package/@metaharness/copilot) | | `npx @metaharness/opencode my-bot` | OpenCode `.opencode/` | [](https://www.npmjs.com/package/@metaharness/opencode) | | `npx @metaharness/github-actions my-bot` | GitHub Actions CI/CD (non-interactive) | [](https://www.npmjs.com/package/@metaharness/github-actions) | **Vertical workflows** (ready-made multi-agent pods) | Package | Scaffolds | npm | |---|---|---| | `npx @metaharness/devops my-bot` | incident response | [](https://www.npmjs.com/package/@metaharness/devops) | | `npx @metaharness/research my-bot` | multi-source dossier | [](https://www.npmjs.com/package/@metaharness/research) | | `npx @metaharness/trading my-bot` | quant trading (paper-by-default) | [](https://www.npmjs.com/package/@metaharness/trading) | | `npx @metaharness/support my-bot` | customer support | [](https://www.npmjs.com/package/@metaharness/support) | | `npx @metaharness/legal my-bot` | contract redline (drafts only) | [](https://www.npmjs.com/package/@metaharness/legal) | | `npx @metaharness/repo-maintainer my-bot` | OSS repo maintainer | [](https://www.npmjs.com/package/@metaharness/repo-maintainer) | | `npx @metaharness/coding my-bot` | engineering pod | [](https://www.npmjs.com/package/@metaharness/coding) | | `npx @metaharness/education my-bot` | tutor pod | [](https://www.npmjs.com/package/@metaharness/education) | | `npx @metaharness/sales my-bot` | sales pipeline pod | [](https://www.npmjs.com/package/@metaharness/sales) | | `npx @metaharness/gaming my-bot` | game-design pod | [](https://www.npmjs.com/package/@metaharness/gaming) | All 18 are live on npm under [`@metaharness`](https://www.npmjs.com/org/metaharness). Source + per-package README: [`examples-packages/`](examples-packages/) · plain-language deep-dive gists: [`examples-packages/GISTS.md`](examples-packages/GISTS.md). --- ## Day-to-day commands After scaffolding, every harness has a `harness` CLI: | You're trying to … | Subcommand | |---|---| | Smoke-check the scaffold | `harness doctor` | | Run every release gate | `harness validate` | | Check kernel ↔ harness compatibility | `harness diag` | | Score the harness 0-100 with badges | `harness score` | | Pre-scaffold: is this REPO ready for an agent? | `harness genome <repo>` | | Pre-scaffold: fit/cost/safety report card for a repo | `metaharness score <repo>` | | MCP threat-model artifact for a PR review | `harness threat-model` | | Declare OIA v0.1 layer alignment | `harness oia-manifest` | | File a useful support ticket | `harness diag --bundle > bundle.json` | | Diff two harnesses | `harness compare a/ b/` | | Share MCP + Bash + claims config for review | `harness export-config` | | Run npm-audit per-harness | `harness audit --bundle > audit.json` | | Emit SPDX-2.3 SBOM | `harness sbom` | | Drift-detect against the latest template | `harness upgrade` | | Sign / verify the witness | `harness sign` · `harness verify` | | Pin the manifest to IPFS | `harness publish --confirm` | | Recommend a harness from a repo | `harness analyze-repo` | 21 subcommands total. Every one respects `--help` / `-h`. Shell completion: `harness completions bash | zsh | fish`. 📖 Full reference: [docs/USAGE.md](docs/USAGE.md) --- ## Status **v0.1.x beta** — published and usable, with the credibility/doc reconciliation in issue #4 / ADR-042 in progress. The release *pipeline* is mature: CI matrix green across Rust × 3 OS + WASM × 3 OS + Node 20+22 × 3 OS + Bench + pack+install × 3 OS + a CI-passed aggregator; single-command releases (`node scripts/release.mjs <bump> --push`) atomically bump 15 sources, run all gates, and tag. | Layer | Status | |---|---| | Rust kernel (WASM + NAPI-RS) | Shipped — 7 subsystems | | 10 host adapters | claude-code · codex · pi-dev · hermes · openclaw · rvm · copilot · opencode · github-actions · prime-agent | | 17 `harness` subcommands | Shipped | | 7 Codex skills | Shipped | | Claude marketplace plugin | Shipped + schema-validated | | Witness signing (Ed25519) | Shipped + tamper-tested | | MCP tool dispatch | 11 end-to-end cases | | Test suite | **2,254 passing** across 246 files (CI green on `main`) | | CI matrix | 16 jobs green | | Security pipeline | cargo-audit · cargo-deny · npm-audit · CodeQL · SBOM (SPDX-2.3) | | Publish pipeline | GCP WIF + 2 gates + 11 packages + IPFS pin | | Agent Harness Studio | Live at <https://ruvnet.github.io/metaharness/> | --- ## Architecture in 30 seconds <a href="docs/visual-walkthrough.md"><img src="docs/assets/visuals/header-architecture.svg" alt="Shared Rust primitives behind customized harnesses and host adapters." width="100%"></a> <a href="docs/visual-walkthrough.md#kernel"><img src="docs/assets/visuals/03-kernel.svg" alt="One shared kernel. Generated harnesses consume a shared Rust kernel through host adapters." width="100%"></a> <details> <summary>Text architecture</summary> ``` You (harness author) └→ agent-harness-generator ← the factory └→ Your harness (.zip) ← what you ship ├ npx <your-name> ← your identity ├ <your agents> ← your content └ @metaharness/kernel ← shared primitives (Rust + WASM + NAPI-RS) └→ Host adapter (Claude Code / Codex / pi.dev / Hermes / OpenClaw / RVM) └→ LLM providers ``` </details> You operate the factory. The factory produces your harness. Your users never see the factory — only the brand and CLI you ship. The kernel ships as `@metaharness/kernel` (Rust → wasm-pack + NAPI-RS); your content stays yours. 📖 Deeper: [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md) · [docs/adrs/INDEX.md](docs/adrs/INDEX.md) (220 ADRs) --- ## Quality gates <a href="docs/visual-walkthrough.md"><img src="docs/assets/visuals/header-quality.svg" alt="Quality gates, tests, provenance, and reviewable releases." width="100%"></a> | Concern | Where | |---|---| | **CI** | [`ci.yml`](.github/workflows/ci.yml) — Rust 3-platform × fmt/clippy/test/doc + WASM build + size budget + Node 20/22 × 3-platform | | **Publish** | [`publish.yml`](.github/workflows/publish.yml) — GCP WIF → Secret Manager → smoke → `npm publish --provenance` (SLSA L2) | | **Security** | [`security.yml`](.github/workflows/security.yml) — cargo-audit + cargo-deny + npm-audit + CodeQL + weekly cron | | **Provenance** | [ADR-011](docs/adrs/ADR-011-witness-and-provenance.md) — Ed25519-signed witness manifest, byte-deterministic across runners | | **Studio liveness** | [`pages-monitor.yml`](.github/workflows/pages-monitor.yml) — daily HTTP probe of live Studio | | **Research quality (DRACO)** | [`draco.yml`](.github/workflows/draco.yml) — cross-domain deep-research benchmark ([ADR-037](docs/adrs/ADR-037-draco-deep-research-benchmark.md)). Deterministic subset gates the scorer/runner machinery on every push (offline); a weekly judged cadence runs the real OpenRouter-fusion score. 5 dimensions (grounding/coverage/balance/cleanliness/faithfulness); the verifier + judge are different model families than the synthesizer (fusion). See [`packages/bench/draco/`](packages/bench/draco/). | --- ## Developer quick-start ```bash git clone https://github.com/ruvnet/metaharness cd metaharness cargo test --workspace cargo clippy --workspace --all-targets -- -D warnings npm install npm run build:wasm npm test node scripts/healthcheck.mjs ``` See [CONTRIBUTING.md](CONTRIBUTING.md). --- ## Related - [**ruflo**](https://github.com/ruvnet/ruflo) — the meta-harness this generator factors apart - [**ruvector**](https://github.com/ruvnet/ruvector) — vector + agentic database (memory backend) - [**@ruvector/emergent-time**](https://www.npmjs.com/package/@ruvector/emergent-time) — memory-decay clock the kernel uses ## Cost-Pareto Leaderboard **[→ Live leaderboard — the cost-performance Pareto frontier](https://ruvnet.github.io/metaharness/cost-pareto.html)** Which harness resolves the most benchmark per **dollar**, not just the highest raw score — ranked by a tunable **Value Score** that blends capability and price. Tabs: SWE-bench **Lite** / **Verified** / **Pro** / **DRACO** / **SWE-ultralite** (a fast n=25 model×mode scouting map). Every Darwin row is fully conformant (the solver never sees gold tests during solving) and measured with the official `swebench` Docker harness, with Wilson 95% CIs. **Latest validated, conformant results (2026-06-26):** | benchmark | config | resolve | n | Wilson 95% CI | cost | |---|---|---|---|---|---| | **SWE-bench Verified** | GLM→Opus empty-patch cascade | **55.6%** (278/500) | 500 | **[51.2, 59.9]** | ~$0.15/inst (est.) | | SWE-bench Lite | GLM→Opus empty-patch cascade | 51.3% | 300 | — | ~$0.27/inst | | **LiveCodeBench** (release_v5 ≥2024-12-01) | single-shot | **44%** | 100 | — | — | | **LiveCodeBench** (release_v5 ≥2024-12-01) | cost-cascade | **62%** | 100 | — | — | The same cheap→frontier **empty-patch cascade** (escalate only the empties to Opus) measures **55.6% on the full SWE-bench Verified (500)** — official `swebench` gold eval, conformant, ~56× cheaper than frontier-only — which **beats** the Lite cascade (51.3%); the pattern generalizes across both splits. SWE-bench Verified cost is an **estimate** (per-instance cost not captured in predictions). LiveCodeBench (n=100, contamination-resistant post-cutoff window) lifts **44% → 62%** via cost-cascade; caveats are honest: deepseek snapshot cutoff unpinned, part of the lift is run-to-run variance (clean attributable lift +8 on the escalated tail), n=100 is directional (not 1:1 with the official whole-release ~34%). Details in [`packages/darwin-mode/bench/results/RESULTS.md`](packages/darwin-mode/bench/results/RESULTS.md) (§33) and [`LEARNINGS.md`](packages/darwin-mode/LEARNINGS.md) (§46b/§47). **Run your own harness and put it on the board** — fork, add a measured row, open a PR. Conformance rules, the entry schema, and a step-by-step walkthrough are in **[SUBMISSIONS.md](SUBMISSIONS.md)**. ## License MIT — see [LICENSE](LICENSE). ## FAQ ### What is MetaHarness? MetaHarness is a CLI and browser Studio that turns any GitHub repo (or a blank slate) into a custom AI agent harness. The output is a branded, npm-publishable package with its own `npx <name>` CLI, MCP server, memory, governance policy, and Ed25519 witness-signed releases. Runs on ten hosts: Claude Code, Codex, pi.dev, Hermes, OpenClaw, RVM, Copilot, OpenCode, GitHub Actions, and Prime Agent. ### How is MetaHarness different from an agent framework? Frameworks help **developers** build agents. MetaHarness helps **repositories** ship agents. The model is replaceable; the harness is the product. ### Do I need to run a server? No. The Studio is 100% client-side (GitHub Pages). The CLI runs locally. There is no MetaHarness account, no hosted backend, no telemetry. ### Does it execute my code during analysis? No. `metaharness analyze` and `metaharness genome` are deterministic static-analysis only. Inferred build/test commands are marked `trust: inferred · execution: disabled`. ### Which agent runtimes does it support? Ten today: Claude Code, Codex, pi.dev, Hermes, OpenClaw, RVM, Copilot, OpenCode, GitHub Actions, Prime Agent. ### What languages does it understand? Rust, TypeScript / JavaScript, Python, and Go are detected deterministically via lockfile and manifest probing. Lexical scoring is the default; optional in-browser MiniLM embeddings via Transformers.js boost recall for unusual repos. ### Is the output really npm-publishable? Yes — the generated harness ships with `package.json`, `bin`, a working CLI, and `harness validate` to gate releases. `harness sign` adds the Ed25519 witness; `harness sbom` emits SPDX-2.3. --- > **Keywords:** metaharness, AI agent CLI, AI agent scaffold, AI agent generator, repo to agent, GitHub repo to AI agent, agent harness, agent harness generator, agent framework alternative, agentic AI, agentic workflow, autonomous AI agents, multi-agent framework, multi-agent system, MCP, MCP server, model context protocol, Claude Code plugin, OpenAI Codex plugin, Anthropic agents, GPT agent, Codex agent, pi.dev extension, hermes agent, Nous Research, OpenClaw, RVM agent, vertical AI agents, custom AI CLI, npx metaharness, npm create AI agent, Rust WASM agent kernel, NAPI-RS, wasm-bindgen, agent memory, ReasoningBank, HNSW vector search, emergent time, witness manifest, Ed25519 signed, provenance, SBOM, SPDX, SLSA, plugin marketplace, IPFS registry, drift detection, anti-slop, TDD agents, self-evolving agents, federated agents, swarm intelligence, GCP Workload Identity Federation, Secret Manager, npm provenance, repo-aware AI, repo-native CLI, repo factory.