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Caura

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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

#agent-memory#agentic-ai#ai-agents#ai-infrastructure#claude#fastapi#knowledge-graph#llm-memory
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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

544 stars on GitHub. Last updated 2026-10-01. Licensed Apache-2.0.

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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