/recall â Memory Search
openbooklet.com/s/recall-memory-searchopenbooklet.com/s/recall-memory-search@1.0.0GET /api/v1/skills/recall-memory-searchSearch across all structured memory files. Default backend: BM25 scoring with Porter stemming and domain-aware query expansion. Optional: graph-based cross-reference boosting (`--graph`). Optional: vector/embedding backend (configure in mind-mem.json). Returns ranked results with block ID, type, sco
Review and apply intelligence proposals generated by /scan. Uses atomic operations with rollback safety.
Run the intelligence scanner to detect contradictions, drift, dead decisions, and missing cross-references across the entire memory workspace.
mind-mem Python development guide
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