
mem-context
MCP server by github.com/turbyho/mem-context
Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation
About mem-context
mem-context is an MCP (Model Context Protocol) server published by turbyho in the official MCP registry, listed under Search on Loomal. Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation
It ships as a Python package on PyPI (mem-context), so any MCP client that can launch a local process can run it.
Development happens in the open at github.com/turbyho/mem-context.
Use mem-context with your agent
claude mcp add mem-context -- uvx mem-context{
"mcpServers": {
"mem-context": {
"command": "uvx",
"args": [
"mem-context"
]
}
}
}mem-contextFrequently asked questions
- What is mem-context?
- mem-context is an MCP (Model Context Protocol) server by turbyho in the Search category. Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation
- How do I connect mem-context to Claude, Cursor, or another MCP client?
- Install mem-context from its pypi package (mem-context) and register it under "mcpServers" in your client's MCP configuration — for example claude_desktop_config.json or Cursor's mcp.json — then restart the client.
- Is mem-context open source?
- Yes — the source code is public at github.com/turbyho/mem-context.
- Can AI agents pay to use mem-context?
- Not yet through Loomal — mem-context is listed as a free directory entry. If its maintainer verifies ownership, they can set per-call USDC pricing that agents pay over x402, with settlement on Base.
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Listing data from the official MCP registry and GitHub, refreshed periodically. Not affiliated with the maintainer unless claimed. Maintain mem-context? Claim this listing free by verifying GitHub ownership, or contact us.