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.
Manage shared memory for AI agents that learn and improve from each other.
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Free · no card · unsubscribe anytimeCaura (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.
caura-memclaw has 430 stars on GitHub. It has been forked 51 times. caura-memclaw is written mainly in Python. It has been in active development since 2026. caura-memclaw is available under the Apache-2.0 license. Its main topics are agent-memory, agentic-ai, ai-agents, ai-infrastructure.
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.
caura-memclaw is an open-source project. It is released under the Apache-2.0 license.
Yes. caura-memclaw is free and open source — you can use, modify and self-host it.
caura-memclaw is available under the Apache-2.0 license.
caura-memclaw is written mainly in Python.
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