by caura-ai · MCP Server · ★ 178
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Fleet memory for AI agents — governed, shared, self-improving. Quick Start · Features · Performance · MCP · API Reference · Plugin Docs · Contributing · Discord MemClaw — Flee
| Stars | 178 |
| Forks | 22 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.9493764590522/100 |
| Open Issues | 34 |
| Last Updated | 2026-06-30 |
| Created | 2026-04-27 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~25k |
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caura-memclaw is 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.. It is categorized as a MCP Server with 178 GitHub stars.
caura-memclaw is primarily written in Python. It covers topics such as agent-memory, agentic-ai, ai-agents.
You can find installation instructions and usage details in the caura-memclaw GitHub repository at github.com/caura-ai/caura-memclaw. The project has 178 stars and 22 forks, indicating an active community.
caura-memclaw is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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