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
Server Config
{
"mcpServers": {
"memory-engine": {
"url": "http://localhost:8085/sse",
"transport": "sse"
}
}
}Project Info
Created At
2 days agoUpdated At
2 days agoAuthor Name
SimoneB79Star
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