arosstale/openclaw-memory-template
Production-ready memory system template for OpenClaw/Clawdbot agents
Implements a three-stage memory architecture (retain/recall/reflect) that extracts structured facts from daily logs, maintains entity-centric summaries with confidence-bearing opinions, and indexes them in offline-first SQLite with FTS5 and optional embeddings. The system keeps Markdown as the canonical source of truth while a meta-learning component (ALMA) automatically optimizes memory design based on agent performance.
Stars
19
Forks
5
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
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