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Keesan12/martin-loop

by Various

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.

MCP

Keesan12/martin-loop

Added 8 Sept 2026

#agent-runtime#ai-agent-runtime#ai-coding-agents#ai-control-plane#ai-governance#ai-safety#audit-trail#budget-enforcement
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

A tool for managing and scaling AI coding agents safely. It provides features for assigning work, capping spend, enforcing policies, verifying outputs, rolling back failures, learning from loops, and tracking ROI across repositories.

Best for

Best for
Teams scaling AI coding agents with governance and cost control needs

Use cases

  • Assign coding tasks to AI agents
  • Cap spending on AI agent usage
  • Enforce policy compliance for AI-generated code

How to use

Install

npx -y martin-loop@latest start

Clients listed in this record (not verified here)

Claude Code, Cursor, Continue, VS Code, ChatGPT

Notes

47 stars on GitHub. Last updated 2026-09-08. Licensed Apache-2.0.

Pros

  • Enforces safety and policy controls
  • Provides cost management and ROI tracking
  • Supports rollback and verification of AI outputs

Cons

  • May require integration setup with existing CI/CD
  • Adds an extra layer of management overhead
  • Focused specifically on AI coding agents, not general dev
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