MCP Mem0

🚀 MCP-Mem0: The Gateway to Long-Term Agent Memory

MCP-Mem0 offers a robust server for managing long-term agent memory using Mem0. It also serves as a useful template for anyone looking to build their own MCP server.

🚀 Quick Start

To start using MCP-Mem0, download the latest version. Visit the Releases section to get the latest version and click to download.

✨ Features

• Long-Term Memory Management: Efficiently store and retrieve agent memory.
• Python-Based: Built with Python, easy to customize and extend.
• Template Structure: A great starting point for your own MCP server development.
• Lightweight: Low resource requirements and easy to deploy.

📦 Installation

Here are the installation steps:

1. Clone the repository:

   git clone https://github.com/yellnuts/mcp-mem0.git
   cd mcp-mem0
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Run the server:

   python server.py
   

💻 Usage Examples

Basic Usage

To use MCP-Mem0, refer to the following request formats:

POST Request

{
    "agent_id": "string",
    "memory_content": "string"
}

GET Request

{
    "agent_id": "string"
}

🤝 Contributing

We welcome any contributions! Please visit the GitHub repository and read our Contribution Guidelines.

📄 License

This project is open-source under the MIT License.

💬 Contact

If you have any questions, please contact:

• Author: yellnuts
• Email: hello@yellnuts.com
• GitHub Repository: MCP-Mem0

🔧 Advanced Configuration

You can customize the following settings in config.json:

{
    "Port": 5000,
    "Log Level": "Info",
    "Max Memory Count": 1000
}

🛠️ Troubleshooting

If you encounter issues, refer to the following common problems:

• Server not starting: Ensure all dependencies are installed correctly.
• API error: Check the request format and confirm the server is running.
• Memory not saved: Verify that the agent_id is unique and in the correct format.

🗺️ Roadmap

We plan to implement the following future updates:

• User Authentication: Secure your memory management with user accounts.
• Data Visualization: Display memory data in graphical form.
• Multi-Agent Support: Handle multiple agents simultaneously.

Stay tuned for more features!

💬 Community

Join our community to share your experiences, ask questions, and get support:

• Discord: Join our Discord server
• Forum: Visit our forum

We welcome your active participation in the discussion.

Thank you for exploring MCP-Mem0! We believe this tool will be an important resource for long-term agent memory management. Your feedback is crucial to us, and we welcome suggestions or improvements at any time.

Please visit the Releases section for the latest updates. Happy coding!