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Gemini CLI Integration Guide

This guide explains how to set up MemPalace as a permanent memory for the Gemini CLI.

Prerequisites

  • Python 3.9+
  • Gemini CLI installed and configured

1. Installation

On many Linux systems, installing Python packages globally is restricted. We recommend using a local virtual environment within the MemPalace directory.

# Clone the repository (if you haven't already)
git clone https://github.com/milla-jovovich/mempalace.git
cd mempalace

# Create a virtual environment
python3 -m venv .venv

# Install dependencies and MemPalace in editable mode
.venv/bin/pip install -e .

2. Initialization

Set up your "Palace" (the database) and configure your identity.

# Initialize the palace in the current directory
.venv/bin/python3 -m mempalace init .

Identity and Wings (Optional but Recommended)

You can manually define who you are and what projects you work on by creating/editing these files in ~/.mempalace/:

  • ~/.mempalace/identity.txt: A plain text file describing your role and focus.
  • ~/.mempalace/wing_config.json: A JSON file mapping projects and name variants to "Wings".

3. Connect to Gemini CLI (MCP)

Register MemPalace as an MCP server so Gemini CLI can use its tools.

gemini mcp add mempalace /absolute/path/to/mempalace/.venv/bin/python3 -m mempalace.mcp_server --scope user

Note: Use the absolute path to ensure it works from any directory.

4. Enable Auto-Saving (Hooks)

To ensure the AI saves memories automatically when conversation history becomes too long, add a PreCompress hook to your Gemini CLI settings.

Edit your ~/.gemini/settings.json and add the following:

{
  "hooks": {
    "PreCompress": [
      {
        "matcher": "*",
        "hooks": [
          {
            "type": "command",
            "command": "/absolute/path/to/mempalace/hooks/mempal_precompact_hook.sh"
          }
        ]
      }
    ]
  }
}

Make sure the hook scripts are executable:

chmod +x hooks/*.sh

5. Usage

Once connected, Gemini CLI will automatically:

  • Start the MemPalace server on launch.
  • Use mempalace_search to find relevant past discussions.
  • Use the PreCompress hook to save new memories before they are lost.

Manual Mining

If you want the AI to learn from your existing code or docs immediately, run the "mine" command:

.venv/bin/python3 -m mempalace mine /path/to/your/project

Verification

In a Gemini CLI session, you can run:

  • /mcp list: Verify mempalace is CONNECTED.
  • /hooks panel: Verify the PreCompress hook is active.