leafmem
AI & Memory
Local
MCP server for LeafMem, a layered memory engine that gives AI agents persistent, scoped memory with local retrieval and optional embedding rerank. It exposes tools for capturing turns, storing memories, and building recall context.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/b31itr26kv for deploy options, or install from https://github.com/xdragonjia/leafmem (see README for MCP config).
2
GitHub
Install from https://github.com/xdragonjia/leafmem and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.