caura-ai/caura-memclaw
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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.
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Fleet memory for AI agents — governed, shared, self-improving.
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MemClaw is open-source memory for multi-tenant, multi-agent AI fleets. Your agents store what they learn, find what the fleet knows, and get smarter with every interaction — learning from each other instead of repeating mistakes.
Agents write plain text. MemClaw turns it into searchable, governed, self-improving memory.
One loop, three pillars: write, recall, compound — every interaction makes the next one smarter.
Built for fleets, not single agents. Public agent-memory…
Excerpted from github.com/caura-ai/caura-memclaw
Latest metrics
| Stars | 323 | 2026-07-16 |
|---|---|---|
| Forks | 42 | 2026-07-16 |
| Commits | 439 | 2026-07-16 |
| Releases | 36 | 2026-07-16 |
| Watchers | 2 | 2026-07-16 |
| Open issues | 13 | 2026-07-16 |
| Open PRs | 40 | 2026-07-16 |