OpenExp
JSON →Q-learning memory for Claude Code. Persistent memory that learns which context helps you get work done. Memories that lead to productive sessions (commits, PRs, tests) earn higher retrieval rank automatically. 16 MCP tools, hybrid BM25 + vector + Q-value scoring, local-first with Qdrant + FastEmbed.
Tools · 5
- search_memory Hybrid search: semantic similarity + BM25 + recency
- add_memory Store a memory. Supports `client_id` for entity tagging
- log_prediction Log a pack-grounded prediction. Required when an installed experience pack cites a specific `relative_day` as the basis for an action recommendation.
- log_outcome Resolve a prediction with the observed signal — interpretation-free record.
- memory_stats Collection stats: point counts by source/type, session count
Environment variables
QDRANT_HOSTQDRANT_PORTANTHROPIC_API_KEY
Links
★ 58 GitHub stars