Mind Mem
未认领Persistent AI memory for Claude Code, OpenClaw, and any MCP-compatible agent. BM25F + vector hybrid, governance-aware, local-first, zero-infrastructure.
安装
pip install mind-mem工具（21 个）
approve_apply
Apply a staged proposal (dryrun=True by default)
calibration_feedback
Submit quality feedback for a retrieved block (thumbs up/down)
calibration_stats
View per-block and global calibration statistics
category_summary
Category summaries relevant to a given topic
delete_memory_item
Delete a memory block by ID (admin-scope)
export_memory
Export workspace as JSONL (user-scope)
find_similar
Find blocks similar to a given block
get_mind_kernel
Read a specific MIND kernel configuration as JSON
hybrid_search
Hybrid BM25+Vector search with RRF fusion
index_stats
Index statistics, MIND kernel availability, block counts
intent_classify
Classify query intent (9 types with parameter recommendations)
list_contradictions
List contradictions with auto-resolution analysis
list_mind_kernels
List available MIND kernel configurations
memory_evolution
View/trigger A-MEM metadata evolution for a block
prefetch
Pre-assemble context from recent conversation signals
propose_update
Propose a decision/task — writes to SIGNALS.md only
recall
Search memory with BM25 (query, limit, activeonly)
reindex
Rebuild FTS5 index (optionally including vectors)
retrieval_diagnostics
Pipeline rejection rates, intent histogram, hard negatives
rollback_proposal
Rollback an applied proposal by receipt timestamp
scan
Run integrity scan (contradictions, drift, signals)