repoGitHubTrust 82 · PrimaryPublished 11d agoLive · 11d ago
caura-ai/caura-cross-fleet-gov
Multi-agent memory governance demo using MemClaw + OpenClaw. Three agents (Sales, Legal, Admin) share one memory backend with hard fleet boundaries enforced at the query layer. Shows scoped writes, blocked recall, cross-fleet synthesis, and conflict detection.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 64%I built an open-source memory governance layer for AI assistants - looking for technical feedback [P] →
- PossiblePossibly related (embedding) · 54%MemoryOps AI: governed memory runtime for LLM agents with deletion-leakage evals and context admission [P] →
