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mcp/harbor
Gemini CLI

hot memory mcp for Gemini CLI

io.github.michael-denyer/hot-memory-mcp

Two-tier memory: hot cache (0ms) + semantic search. Self-organizing.

client:Gemini CLI transport:stdio runtime:pypi

Install hot memory mcp in Gemini CLI

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

Held in this page only — never stored, logged, or sent anywhere but back to your screen. 

{
  "mcpServers": {
    "hot-memory-mcp": {
      "command": "uvx",
      "args": [
        "hot-memory-mcp"
      ],
      "env": {
        "MEMORY_MCP_DB_PATH": "<MEMORY_MCP_DB_PATH>",
        "MEMORY_MCP_EMBEDDING_MODEL": "<MEMORY_MCP_EMBEDDING_MODEL>"
      }
    }
  }
}

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

hot memory mcp in other clients

hot memory mcp MCP server