caura-memclaw
by caura-ai
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.
📊 Score Breakdown
Overall = Security (30%) + Utility (30%) + Maintenance (25%) + Uniqueness (15%). Full methodology →
ℹ️ Details
Category
🤖 AI & LLM Tools
Ecosystem
MCP Server
Language
Python
Pricing
Free
License
Apache-2.0
Status
Active
Platforms
claude
📈 GitHub Signals
131
Stars
13
Forks
0
Commits (30d)
35
Open Issues
Last commit: 4 days ago
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