repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
phenomenoner/openclaw-mem
The AI agent memory layer you can audit — local-first memory governance for AI agents: citations, trust policies, trace receipts, rollback. SQLite, sidecar-first, OpenClaw plugin.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 66%I built an open-source memory governance layer for AI assistants - looking for technical feedback [P] →
- PossiblePossibly related (embedding) · 66%What should an AI agent remember in a form a human can actually audit? →
- PossiblePossibly related (embedding) · 65%Halo-record: Open-source audit trails for AI agents - Help Net Security →
- PossiblePossibly related (embedding) · 65%Halo-record: Open-source audit trails for AI agents - helpnetsecurity.com →
- PossiblePossibly related (embedding) · 56%Brex built its AI agent policy by watching what agents actually do, not by writing rules first →
Covers
Covers (incoming)
newsWhat should an AI agent remember in a form a human can actually audit?newsHalo-record: Open-source audit trails for AI agents - Help Net SecuritynewsHalo-record: Open-source audit trails for AI agents - helpnetsecurity.comnewsBrex built its AI agent policy by watching what agents actually do, not by writing rules first
Related across the graph
newsI built an open-source memory governance layer for AI assistants - looking for technical feedback [P]newsHalo-record: Open-source audit trails for AI agents - helpnetsecurity.comnewsHalo-record: Open-source audit trails for AI agents - Help Net SecuritynewsWhat should an AI agent remember in a form a human can actually audit?newsBrex built its AI agent policy by watching what agents actually do, not by writing rules first