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🧠 mnemos-mcp - Your Private Searchable Knowledge Hub

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📚 Overview

mnemos-mcp is a self-hosted knowledge server designed to help you manage your documents efficiently. It transforms your documents into a searchable format, allowing you to retrieve information quickly and easily. With features like multi collection isolation, deterministic ingestion, and local vector search powered by Ollama and pgvector, you maintain 100% privacy with no vendor lock-in.

🚀 Getting Started

To get started with mnemos-mcp, follow these steps:

1. Check Your System Requirements
   • Operating System: Windows, macOS, or Linux
   • Python: Version 3.7 or higher
   • Memory: Minimum 4 GB RAM recommended
   • Disk Space: At least 1 GB free space

2. Visit the Releases Page Go to the Releases page to find the latest version of mnemos-mcp.

3. Download the Software On the Releases page, locate the latest release version. Click on it to access the download files.

4. Select the Right File You will see various files for different systems. Choose the file that matches your operating system:
   • For Windows: Download mnemos-mcp-windows.zip
   • For macOS: Download mnemos-mcp-macos.zip
   • For Linux: Download mnemos-mcp-linux.tar.gz
5. Extract the Files Once the download is complete, find the downloaded file on your computer.
   • Use your file manager to navigate to the file.
   • For ZIP files, right-click the file and select “Extract All” for Windows or “Open With” > “Archive Utility” for macOS.
   • For TAR.GZ files on Linux, right-click and select “Extract Here” or use the terminal with tar -xvzf mnemos-mcp-linux.tar.gz.
6. Run mnemos-mcp After extraction, navigate to the extracted folder. You’ll find an executable file named mnemos-mcp.
   • For Windows, double-click mnemos-mcp.exe.
   • For macOS, double-click the mnemos-mcp.app.
   • For Linux, open a terminal, navigate to the folder, and run ./mnemos-mcp.

7. Follow the Setup Instructions Once you run the application, follow the setup instructions that appear. These will guide you through initial configurations, such as setting up your document collections.

8. Start Using mnemos-mcp Now you can start adding documents to your knowledge base. Use the built-in search functionality to quickly find information.

🛠️ Features

• Multi Collection Isolation: Keep your documents organized in separate collections for easy access.
• Deterministic Ingestion: Automatically manage how documents are added to your knowledge base.
• Local Vector Search: Utilize efficient search algorithms for quick retrieval.
• Privacy Focused: Your data stays on your local system, ensuring it is not shared with any third parties.

📖 Documentation

For more detailed information about features and usage, check the documentation. It includes tips on best practices, advanced setup, and troubleshooting.

🐞 Issues and Support

If you encounter any problems or have questions, please visit the Issues section on GitHub. Here, you can search for existing issues or create a new one.

🌐 Community

Join our community to share experiences, ask questions, and get help. You can find us on platforms like Discord and Reddit.

🎉 Acknowledgments

Thanks to all contributors and users who made mnemos-mcp a success. Your support is invaluable.