Keesan12/martin-loop

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

Tested with

Claude Code, Cursor, Continue, VS Code, ChatGPT

Notes

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.

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

Use cases

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

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

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.