"author:notaaaronfr" matching MCP servers:

Enables any AI agent framework to plug into a self-improvement loop where recall and record calls turn existing feedback like tests, CI, review bots and user corrections into learned skills and persistent memory. Changes are governed end-to-end with changesets, canary rollout on live traffic, holdout lift measurement, versioning and rollback.