leafmem
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.
- Score
- Unranked
- Evidence
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- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
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What it is
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.
When to use it
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 install / invoke
See Glama for the install config.
Notes
Listed from the Glama MCP registry.