yoniassia/memclawz
Three-Speed Memory for OpenClaw Agents — QMD working memory + Zvec hybrid search + auto-compaction
Combines Qdrant vector storage with composite scoring (semantic similarity, recency, type weight, and access frequency) to retrieve memories ranked by relevance rather than pure similarity alone. Provides three-tier automated compaction (session/daily/weekly) that summarizes and deduplicates memories asynchronously, and v11.2 adds write-only access tiers with rate-limiting for multi-agent fleet contributions via a lightweight sync module.
Stars
34
Forks
5
Language
Python
License
MIT
Category
Last pushed
Mar 01, 2026
Commits (30d)
0
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