Memory Plugin (SQLite)

A Python-based memory plugin that uses SQLite for persistent storage.

Overview

This plugin provides memory storage functionality using SQLite as the backend database. It's designed to store and manage data persistently across sessions.

Setup

1. Environment Configuration

   Create a .env file in the root directory with the following configuration:

   MEMORY_DB_PATH=/path/to/your/memory.sqlite
   

   You can use the provided .env.example as a template:

   cp .env.example .env
   

2. Dependencies

   The project requires Python and uses SQLite for data storage. Make sure you have Python installed on your system.

Configuration

1. rename .env.example to .env and edit the values to your needs:

2. Locate claude_desktop_config.json and use the template below to add "MQTT Bridge" to the mcpServers section. MacOs: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: C:\Users<username>\AppData\Roaming\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "memory_recall": {
      "command": "/path/to/python3",
      "args": [
        "/path/2/your/cloned/repository/memory_plugin.py"
      ]
    }
  }
}

The SQLite database path is configured through the MEMORY_DB_PATH environment variable. This should point to where you want the SQLite database file to be stored.

Current configuration:

MEMORY_DB_PATH=/path/to/your/dabatase.sqlite

Usage

Basic Usage

Refer to the @mcp.resource and @mcp.tool decorated functions in the memory_plugin.py file

Examples to type in the chat:

• memory://load to load the saved memories at new chat start
• Save into the memory, under aNewName category, the following: a new message with important info to remember
• Save the relevant points of the conversation into the memory under aNewName category

Development

When contributing to this project:

1. Make sure to not commit sensitive information
2. Keep your .env file private
3. Use .env.example for sharing template configurations

License

This project is licensed under the MIT License.