Two-tier memory: hot cache (0ms) + semantic search. Self-organizing.
Hot-memory-mcp is an MCP integration. Two-tier memory: hot cache (0ms) + semantic search. Self-organizing.
The published pypi package is hot-memory-mcp, version 0.8.0. Its declared MCP transport is stdio.
The package declares MEMORY_MCP_DB_PATH: Path to SQLite database file; MEMORY_MCP_EMBEDDING_MODEL: Embedding model to use (default: all-MiniLM-L6-v2).
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository. This profile uses version 0.8.0 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
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| Variable | Description | Required |
|---|---|---|
| MEMORY_MCP_DB_PATH | Path to SQLite database file | Optional |
| MEMORY_MCP_EMBEDDING_MODEL | Embedding model to use (default: all-MiniLM-L6-v2) | Optional |
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A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
arXiv, PubMed, Crossref and OpenAlex scholarly metadata.
Personal wiki and memory for AI assistants: store, search, and recall structured notes.
Give your AI agent the memory of a colleague who's worked with you for years — without cloud, API keys, or Docker.
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