thanatos9404/llmslim
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Long-term memory for AI agents with no LLM call: an MCP server and Claude Code plugin, plus local-first context compression for LLM apps.
Обзор
LLMSlim stores what users and agents say word for word, then returns the parts that answer a question within a token budget you set. It runs as an MCP server, a Python library or a small HTTP server. A real Python session with llmslim 0.11.1 from PyPI, typed by a script and recorded with asciinema ( script , recording ). Each MCP setup below starts the same server, llmslim mcp, with uv (Python 3.10 or newer). Memory goes to a local SQLite file, ~/.llmslim/memory.db. The first start downloads LLMSlim and its dependencies. If a client gives up waiting, run uvx --from "llmslim[mcp]" llmslim mcp --help once to fill uv's cache, then restart the client. (pip install llmslim, Python 3.9 or newer): (npm install llmslim, Node 18 or newer), against llmslim serve (pip install "llmslim[server]"): If LLMSlim is useful, a star helps others find it. Feedback is welcome in issues. - remember, recall, list_memories, forget and fit_context. - in SQLite or Postgres.
README
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Use it in 30 seconds
Each MCP setup below starts the same server, llmslim mcp, with uv (Python 3.10 or
newer). Memory goes to a local SQLite file, ~/.llmslim/memory.db.
One click:
Установка
uvx --from "llmslim[mcp]" llmslim mcp --help` once to fill uv's cache, then restart the client.