Caura
by Community
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-im
OSS
Caura
Added 1 Oct 2026
Overview
Caura is an open-source shared memory system for AI agent fleets. It provides multi-tenant memory with trust tiers, policy controls, audit trails, and a knowledge graph. Built as an MCP-native service in Python, it is designed for governed access to agent memory.
Best for
Best for
Teams building governed multi-agent systems in Python.
Use cases
- Enforce access policies across multi-agent memory
- Audit agent memory reads and writes
- Share context between agents via a knowledge graph
Notes
Caura is an open-source shared memory system for AI agent fleets. It provides multi-tenant memory with trust tiers, policy controls, audit trails, and a knowledge graph. Built as an MCP-native service in Python, it is designed for governed access to agent memory.
544 stars on GitHub. Last updated 2026-10-01. Licensed Apache-2.0.
Use cases
- Enforce access policies across multi-agent memory
- Audit agent memory reads and writes
- Share context between agents via a knowledge graph
Pros
- Apache 2.0 license
- MCP-native integration
- Includes audit trails and trust tiers
Cons
- Community project with modest adoption (544 stars)
- Python-only codebase
- Self-improving retrieval adds operational complexity
Indexed from awesome-llmops and enriched against its public facts.
Pros
- Apache 2.0 license
- MCP-native integration
- Includes audit trails and trust tiers
Cons
- Community project with modest adoption (544 stars)
- Python-only codebase
- Self-improving retrieval adds operational complexity
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