caura-memclaw
Governed shared memory for AI agent fleets — multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
- Ask Claude to audit which agents accessed sensitive customer data across your fleet yesterday
- Generate compliance reports showing data access patterns grouped by trust tier and timestamp
- Find knowledge gaps in your agent fleet and improve retrieval accuracy automatically
Multi-agent deployments risk data leakage and compliance violations when sharing memory across tenants. Caura-memclaw enforces trust boundaries, audit trails, and policy-driven access control—reducing security exposure and meeting regulatory requirements.
Enterprise teams operating multi-tenant AI agent systems requiring governed data access and compliance audit trails.
https://github.com/caura-ai/caura-memclaw
By caura-ai
How to Get It
claude plugins install caura-ai/caura-memclaw
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 131 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
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Evaluation
Scored from trust signals (evidence-eval-v1): 131 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.