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caura-ai/caura-memclaw

Python Tracked since 2026-04-27 Updated 2026-08-13 View source ↗

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430 Stars

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.

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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 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 430 2026-08-13
Forks 51 2026-08-13
Commits 612 2026-08-13
Releases 47 2026-08-13
Watchers 3 2026-08-13
Open issues 15 2026-08-13
Open PRs 27 2026-08-13