martin-loop

MartinLoop is a governance layer for AI coding loops that enforces budget caps, verifier gates, rollback evidence, and audit trails. It prevents unbounded retries by stopping unsafe or uneconomical work before execution, providing visibility and accountability for autonomous coding agents.

martin-loop sits in the Security & Safety category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Budget governance with hard caps on USD, iterations, and tokens. A representative use case is Bounding AI agent retry loops with budget and safety constraints. The listed license is Apache-2.0. GitHub stars are currently 412. Relevant tags include agent-runtime, ai-agent-runtime.