LLMSlim

Thanatos9404/llmslim

Long-term memory for Gemini CLI and other MCP clients over a local stdio MCP server. Five tools (remember, recall, list_memories, forget, fit_context): messages are stored word for word in local SQLite or your own Postgres, and recall returns the stored messages that answer a question within a token budget, with no LLM call inside. MIT. Install: pip install "llmslim[mcp]", then gemini mcp add --sc

Python MIT

View on GitHub → Find it in the atlas

Install

uvx --from "llmslim[mcp]" llmslim mcp --help

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Platform support

Derived from the project's own README, install route, CI configuration and release assets — not from running it.
PlatformRuns hereOn what evidence
WindowsLikelyInferred from the language or runtime. Nothing in the project says so.
WSL2LikelyInferred from the language or runtime. Nothing in the project says so.
macOSLikelyInferred from the language or runtime. Nothing in the project says so.
LinuxLikelyInferred from the language or runtime. Nothing in the project says so.
DockerYesStated in the project's own README, install route, CI config or release assets.

Where it came from

Named by 3 of the 39 lists the atlas merges, independently of each other.

  • AI Agents (Jenqyang)
  • Gemini CLI Ecosystem
  • LLMOps (tensorchord)

How it is classified

One topic, 4 harnesses. Each link is a prerendered page of everything else in that slice.

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