mem context for Gemini CLI

io.github.turbyho/mem-context

Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation

client:Gemini CLI transport:stdio runtime:pypi

Install mem context in Gemini CLI

~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json

{
  "mcpServers": {
    "mem-context": {
      "command": "uvx",
      "args": [
        "mem-context"
      ]
    }
  }
}

Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs