Self-evolving agent memory via context information density maximization. Crystallizes completed tasks into reusable Skills (L3), maintains layered memory (L0–L4), and compresses context to preserve decision-relevant signal. Hybrid model: project-scoped (.pi-memory/ in repo) + global (~/.pi/agent/skills/generic-agent/memory/). Project skills shadow global skills. Auto-triggered after reflect_capture to sync learnings, and before tasks to recall relevant skills. Use when building on prior work, iterating on similar tasks, preserving session learnings, or managing long-running sessions.
2026-05-02