martin-loop

MCP ServerClaude CodeCodex Memory Low risk

Make AI coding agents safe to scale autonomously: assign work, cap spend, enforce policy, verify output, roll back failures, learn from loops, and prove ROI across every repo.

让AI编码智能体安全地自主扩展：分配任务、限制花销、执行策略、验证输出、回滚失败、从循环中学习，并在每个仓库中证明ROI。

How to install

MCP Server npx -y martin-loop

Claude Code git clone https://github.com/Keesan12/martin-loop ~/.claude/skills/martin-loop

Codex npx -y martin-loop

About

MartinLoop Your coding agent says it's done. MartinLoop makes it prove it. One system to control, verify and understand coding-agent work. **MartinLoop gives AI coding agents budgets, stop conditions, rollback rules, and receipts.** Built from thousands of agent runs where the problem was not intelligence -- it was uncontrolled execution. **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 **Install** — run npx -y martin-loop@latest start, or install it globally with npm install -g mart…

GitHub ↗

Recommendation signals

62 Tool quality · Based on stars, downloads, maintenance, security and docs

– User interest · Adjusted by in-site views, install copies and download clicks

62 Overall

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Links

GitHub ↗ npm ↗ Homepage ↗ Report issue ↗

Basic safety check

Findings: None
Sources: curated:punkpeye/awesome-mcp-servers
Topics: agent-runtime, ai-agent-runtime, ai-coding-agents, ai-control-plane, ai-governance, ai-safety, audit-trail, budget-enforcement, claude-code, codex, coding-agents, control-plane, github-actions, governed-runtime, llmops, mcp, model-context-protocol, observability, policy-as-code, rollback

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