2 min read

Metacognitive Memory System

Table of Contents

What it does

Shared memory infrastructure for a multi-agent ecosystem. Any agent on any CLI can recall, build on, and assess confidence in prior work across session and project boundaries — without memory decaying into noise as the system scales.

Architecture / Key capabilities

  • Three-layer memory stack — OpenMemory (session-scoped, fast recall), Basic Memory (file-backed, durable conventions and architecture), and project _docs/ (ground truth per-project state)
  • Drift detection — Monitors stored memories for semantic drift over time, flagging when recalled context no longer matches current project reality
  • Extraction normalization — Standardizes how memories are written and retrieved across heterogeneous agent runtimes so recall is consistent regardless of which agent stored the memory
  • Metacognitive reliability scoring — Each memory carries confidence metadata so consuming agents can weigh recall quality rather than treating all memories as equally trustworthy
  • Cross-project, cross-entity access — Serves 11+ entities across 44+ projects, with namespace isolation preventing bleed between unrelated contexts

Key numbers

  • 11+ entities served
  • 44+ projects connected
  • 3 memory layers (OpenMemory, Basic Memory, project _docs/)

Current phase

Metacognitive Phase 1 COMPLETE. Q1 enrichments + Enhancement B shipped. Six-factor decay live. Phase 2 in progress — ia review --stale shipped by interagent-claude. Establishment log pilot spec written.

Status

Active — Phase 2 measurement underway. ia review stale --brief wired into session-start.

MISSING — Repository URL