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Keesan12/martin-loop

Keesan12/martin-loop

Governed runtime for AI coding agents
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add martin-loop -- npx -y martin-loop
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
410 ★ · Keesan12/martin-loop · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 410 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 Keesan12/martin-loop;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

MartinLoop

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**Give coding agents more work. Watch them less. Ship more.**
MartinLoop lets you give coding agents real software jobs without babysitting every step.
Your coding agent still writes the code. MartinLoop keeps the job focused, bounded, and accountable — with limits, stop conditions, verification, recovery, and a clear outcome when the run ends.
**Trust your coding agents with real work.**
Built from thousands of agent runs where the problem was not just intelligence — it was whether you could give the agent a real job and confidently walk away.
**Measure your loop tax:** npx -y martin-loop@latest audit
**Get started:** npx -y martin-loop@latest start
**Try the demo:** npx -y martin-loop@latest demo
MartinLoop is part of the NVIDIA Inception program.
Start Here
**Audit first** — run npx -y martin-loop@latest audit to see how much API-equivalent Claude Code spend went into fix-and-retry loops. Add --offline for zero network access or --share for a shareable summary.
**Install / onboard** — run npx -y martin-loop@latest start, or install it globally with npm install -g martin-loop@latest.
**Governed run** — define an objective, verifier, budget, and iteration cap with martin run.
**Verifier** — completion requires fresh verifier evidence bound to the active run and workspace. A configured verifier proves only the checks it runs; VERIFIED is not a claim that the code is bug-free or automatically safe to merge.
**Budget** — set a hard spend ceiling with --budget-usd and an attempt ceiling with --max-iterations.
**Receipts** — inspect the latest result with martin dossier --latest and validate stored integrity with martin runs verify --latest.
**Hosted sync (optional)** — governed work is local-first. Configure MARTIN_API_TOKEN and MARTIN_TELEMETRY_ENDPOINT, then use martin sync status and martin sync flush to send preserved evidence to a dashboard later. See the quickstart.
**MCP** — install @martinloop/mcp@latest in a supported host or generate host configuration with martin mcp print-config.
**Documentation** — continue with the quickstart, CLI reference, or MCP setup.
When --model is provided, MartinLoop passes it through unchanged. Without --model, the authenticated host runtime chooses its own default. MartinLoop does not inject a hidden fallback model.
For AI Agents
MartinLoop is the system around the coding job.
The coding agent still writes the code. MartinLoop keeps the job, limits, verification, recovery, outcome, and history consistent around the work.
Use MartinLoop when a coding task needs:
- clear job and success criteria
- preflight readiness before agent spend
- hard budget and iteration limits
- allowed or denied edit scope
- controlled retries and stop conditions
- independent verifier commands
- recovery and rollback evidence
- a finite completion decision
- run receipts, dossiers, history, failure classification, and post-run analysis
- one consistent workflow across supported coding-agent runtimes
Canonical lifecycle:
The product-level flow is **Definition of Done -> Controlled Run -> Verified Handoff**.
For machine-readable context start with llms.txt, llms-full.txt, and MartinLoop for AI Agents.
One System Around the Run
Teams should not need to stitch together a separate script or point tool for every part of coding-agent execution. MartinLoop connects the control path around the agent from preflight through post-run evidence.
| Stage | MartinLoop role |
| --- | --- |
| Define | Capture the objective, verifier, budget, scope, and finish line. |
| Preflight | Check readiness and required workflow evidence before agent spend. |
| Control | Enforce budgets, attempts, path boundaries, policy, and stop conditions while the coding agent works. |
| Verify | Run configured checks and bind the evidence to the active run and workspace. |
| Recover | Preserve recovery and rollback state when another attempt or human review is required. |
| Prove | Produce the authoritative VERIFIED, STOPPED, or NEEDS REVIEW handoff plus receipts. |
| Analyze | Inspect run history, cost provenance, failure classes, dossiers, and shareable evidence after execution. |
MartinLoop does not replace Git, GitHub, CI, dedicated security scanners, observability platforms, code review, or the coding agent itself. It gives those workflows one governed execution record to inspect.
来源
awesome · https://github.com/Keesan12/martin-loop
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