self-learning

Enables agents to learn from their execution history by capturing traces, extracting actionable insights, and adapting behavior. Transforms raw execution patterns into reusable knowledge structures that improve future performance.

| Success Patterns | Approaches that consistently work | "Loading context.md before task start reduces errors by 40%" | | Failure Patterns | Recurring causes of failures | " Skipping lspdiagnostics leads to type errors in production" | | Efficiency Patterns | Ways to complete tasks faster | "Reading multiple files in parallel reduces context load time" |

| Coordination Patterns | Best practices for multi-agent work | "Orchestrator spawning 2 workers instead of 3 reduces merge conflicts" | | Knowledge Gaps | Information that should have been available | "Project lacks centralized error handling documentation" |