Yuchen20

Memory-Plus

Community Yuchen20
Updated

🧠 𝑴𝒆𝒎𝒐𝒓𝒚-𝑷𝒍𝒖𝒔 is a lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who wants their AI to actually remember them.

memory_plus

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License: MIT visitors PyPI version

Memory-Plus

A lightweight, local Retrieval-Augmented Generation (RAG) memory store for MCP agents. Memory-Plus lets your agent record, retrieve, update, and visualize persistent "memories"—notes, ideas, and session context—across runs.

🏆 First Place at the Infosys Cambridge AI Centre Hackathon!

Key Features

  • Record Memories: Save user data, ideas, and important context.
  • Retrieve Memories: Search by keywords or topics over past entries.
  • Recent Memories: Fetch the last N items quickly.
  • Update Memories: Append or modify existing entries seamlessly.
  • Visualize Memories: Interactive graph clusters revealing relationships.
  • File Import (since v0.1.2): Ingest documents directly into memory.
  • Delete Memories (since v0.1.2): Remove unwanted entries.

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Installation

1. Prerequisites

  • Google API Key: Obtain from Google AI Studio and set as GOOGLE_API_KEY in your environment:

    # macOS/Linux
    export GOOGLE_API_KEY="<YOUR_API_KEY>"
    
    # Windows (PowerShell)
    setx GOOGLE_API_KEY "<YOUR_API_KEY>"
    
  • UV Runtime: Required to serve the MCP plugin.

    pip install uv
    

    Or install via shell scripts:

    # macOS/Linux
    curl -LsSf https://astral.sh/uv/install.sh | sh
    
    # Windows (PowerShell)
    powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
    

VS Code One-Click Setup

Click the badge below to automatically install and configure Memory-Plus in VS Code (Insiders):

One Click Install in VS Code

This will add the following to your settings.json:

{
  "mcpServers": {
    ..., // your other MCP servers
    "memory-plus": {
      "command": "uvx",
      "args": ["memory-plus"]
    }
  }
}

For cursor, go to file -> Preferences -> Cursor Settings -> MCP and add the following:

{
  "mcpServers": {
    ..., // your other MCP servers
    "memory-plus": {
      "command": "uvx",
      "args": ["memory-plus"]
    }
  }
}

For Cline add the following to your cline_mcp_settings.json:

{
  "mcpServers": {
    ..., // your other MCP servers
    "memory-plus": {
      "disabled": false,
      "timeout": 300,
      "command": "uvx",
      "args": [
        "memory-plus"
      ],
      "env": {
        "GOOGLE_API_KEY": "${{ secrets.GOOGLE_API_KEY }}"
      },
      "transportType": "stdio"
    }
  }
}

remember to add the GOOGLE_API_KEY to your secrets / environment variables.

For other IDEs it should be mostly similar to the above.

Local Testing and Development

Using MCP Inspector, you can test the memory-plus server locally.

git clone https://github.com/Yuchen20/Memory-Plus.git
cd Memory-Plus
npx @modelcontextprotocol/inspector fastmcp run run .\\memory_plus\\mcp.py

Or If you prefer using this MCP in an actual Chat Session. There is a template chatbot in agent.py.

# Clone the repository
git clone https://github.com/Yuchen20/Memory-Plus.git
cd Memory-Plus

# Install dependencies
pip install uv
uv pip install fast-agent-mcp
uv run fast-agent setup        

setup the fastagent.config.yaml and fastagent.secrets.yaml with your own API keys.

# Run the agent
uv run agent_memory.py

RoadMap

  • Memory Update
  • Improved prompt engineering for memory recording
  • Better Visualization of Memory Graph
  • File Import
  • Remote backup!
  • Web UI for Memory Management

If you have any feature requests, please feel free to add them by adding a new issue or by adding a new entry in the Feature Request

License

This project is licensed under the MIT License. See LICENSE for details.

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