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mcp/harbor
Gemini CLI

cognos session memory for Gemini CLI

io.github.base76-research-lab/cognos-session-memory

CognOS trust scoring (C=p·(1-Ue-Ua)) and session trace storage as MCP tools.

client:Gemini CLI transport:stdio runtime:pypi

Install cognos session memory in Gemini CLI

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

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{
  "mcpServers": {
    "cognos-session-memory": {
      "command": "uvx",
      "args": [
        "cognos-session-memory-mcp"
      ],
      "env": {
        "COGNOS_TRACE_DB": "<COGNOS_TRACE_DB>"
      }
    }
  }
}

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

cognos session memory in other clients

cognos session memory MCP server