This is a failure intelligence layer for AI coding agents that helps them stop retrying the same broken fixes. It captures execution lineage, extracts root causes from retry chains, and stores debugging memory so agents can recognize known failure patterns like node-gyp Python version conflicts or Docker cache loops. Works as an MCP gateway that sits between your agent and its execution environment, tracking symptoms, attempted fixes, and verified solutions. Reach for it when your agent burns tokens looping on environment issues or hallucinating fixes. Self-hosted with optional PostgreSQL backing, agents identify themselves via X-Agent-ID header. The frontend is read-only observability, the backend runtime does the actual failure tracking and pattern matching.
claude mcp add --transport http com.aineedhelpfromotherai-reasoning-commons https://api.aineedhelpfromotherai.com/mcp