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caura

Skill Security Usable
Works inClaude Code
Usable Scanned — metadata only

Multi-agent systems require secure, auditable memory isolation to prevent data leakage and ensure compliance.

Caura (formerly 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.

524 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Multi-agent systems require secure, auditable memory isolation to prevent data leakage and ensure compliance. Caura's trust-tier architecture and keystone policies reduce breach surface while maintaining operational efficiency across tenant boundaries.

Enterprise AI platforms deploying multi-tenant agent fleets with strict data governance and audit requirements.

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https://github.com/caura-ai/caura

By caura-ai

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install caura-ai/caura

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Audit which agents accessed sensitive data across my multi-tenant deployment yesterday
CostFree

Trust Signals Auto-scanned

Stars524Contributors24Last updated2026-09-19LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-09-19 · scanner v1

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 468 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 468 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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