Memory Engine

Atomic memory model — knowledge stored as atoms (facts, decisions, events, preferences, logs, procedures, notes, session messages) Multi-factor ranking — recall combines FTS relevance × confidence × recency × weight (not just BM25) Organic decay — atoms lose weight over time if not accessed; critical ones get flagged for review Learning engine — generates questions for the human when it detects contradictions, gaps, weak atoms, or merge candidates Session watcher — automatically ingests OpenClaw session messages as atoms with TTL (event-driven via inotify/watchdog) Auto-bonding — creates relationship links between atoms automatically during import Graph traversal — navigate the knowledge graph with depth control and relation filtering Markdown import — one-way sync from your existing markdown notes (coexistence, not replacement) Merge & deduplicate — consolidate similar atoms intelligently TTL support — atoms that expire automatically Versioning — automatic atom history tracking