MemoryClaw Memory Engine

Example Use Cases

• 1

  Persistent memory across sessions to recall past conversations and decisions.

• 2

  Intelligent context management to handle token limits and improve response relevance.

• 3

  Integration with workflow automation tools like n8n for enhanced AI capabilities.

Description

MemoryClaw is a universal memory and context engine that enables AI agents to store, search, and manage persistent memories across sessions. It supports markdown-based memory storage, keyword search with BM25, and integrates with AI workflows such as n8n. The server manages token limits and plans multi-user isolation and vector search features to enhance context relevance and scalability.