Multi-Agent Memory

Example Use Cases

• 1

  A shared, persistent memory across multiple machines and frameworks.

• 2

  Typed memory with lifecycle management and semantic deduplication.

• 3

  Secure, credential-scrubbed memory storage with entity extraction and linking.

Description

Multi-Agent Memory provides a shared, persistent memory system that works across different AI agents, machines, and frameworks. It supports typed memories with mutation semantics, entity extraction and linking, credential scrubbing, and dual storage in vector and structured databases. The system enables agents like Claude Code, OpenClaw, and n8n to share knowledge seamlessly, improving collaboration and context retention across sessions and platforms.