# LibreChat: An Advanced Open-Source ChatGPT Clone with Multi-Model Support This repository profile is provided by osrepos.com, an open source repository discovery platform. Source: osrepos.com Repository profile: https://osrepos.com/repo/danny-avila-librechat Generated for open source discovery and AI-assisted research. LibreChat is an advanced open-source ChatGPT clone designed for self-hosting, offering a rich set of features beyond standard AI chat interfaces. It supports a wide array of AI models, including OpenAI, Anthropic, Google, and custom endpoints, alongside powerful tools like Code Interpreter, Agents, and Web Search. This project provides a secure, multi-user platform with extensive customization and integration capabilities for diverse AI conversations. GitHub: https://github.com/danny-avila/LibreChat OSRepos URL: https://osrepos.com/repo/danny-avila-librechat ## Summary LibreChat is an advanced open-source ChatGPT clone designed for self-hosting, offering a rich set of features beyond standard AI chat interfaces. It supports a wide array of AI models, including OpenAI, Anthropic, Google, and custom endpoints, alongside powerful tools like Code Interpreter, Agents, and Web Search. This project provides a secure, multi-user platform with extensive customization and integration capabilities for diverse AI conversations. ## Topics - ai - chatgpt-clone - typescript - open-source - self-hosting - chatbot - multi-model-ai - agents ## Repository Information Last analyzed by OSRepos: Thu Nov 06 2025 12:01:21 GMT+0000 (Western European Standard Time) Detail views: 5 GitHub clicks: 5 ## Safety Notice OSRepos shares public repositories for knowledge and discovery only. Review source code, dependencies, licenses, and security implications before running or installing anything. ## Content ## Introduction LibreChat is a highly-featured, open-source alternative to ChatGPT, providing a robust platform for self-hosting advanced AI conversations. Inspired by the original ChatGPT UI, LibreChat extends its capabilities significantly by integrating multiple AI models and offering a comprehensive suite of tools. It empowers users to have full control over their AI interactions, data, and privacy, making it an excellent choice for individuals and teams seeking a powerful, customizable, and secure chatbot solution. ## Installation Getting started with LibreChat for self-hosting is straightforward, with various deployment options available. The project is primarily built with TypeScript and can be deployed using Docker for ease of setup. For detailed, step-by-step instructions, including one-click deployment options for platforms like Railway, Zeabur, and Sealos, it is highly recommended to consult the official LibreChat documentation. bash # Example: Clone the repository (refer to official docs for full setup) git clone https://github.com/danny-avila/LibreChat.git cd LibreChat # Follow the instructions in the official documentation for environment setup and running via Docker or other methods. For a comprehensive guide on setting up LibreChat, please visit the [official documentation](https://librechat.ai/docs) (opens in a new tab). ## Examples LibreChat's feature set allows for a wide range of advanced AI interactions: * **Multi-Model Conversations**: Seamlessly switch between various AI models like OpenAI's GPT series, Anthropic's Claude, Google's Gemini, DeepSeek, Mistral, and even local AI providers like Ollama, all within the same chat interface. * **Code Interpreter**: Execute code securely in a sandboxed environment across multiple languages (Python, Node.js, Go, C/C++, Java, PHP, Rust, Fortran), with integrated file handling for uploads and downloads. * **Agents & Tools Integration**: Create and deploy custom AI agents for specialized tasks, leveraging a marketplace of community-built agents and supporting the Model Context Protocol (MCP) for tool integration. * **Web Search**: Enhance AI responses by integrating real-time information from the internet, combining search providers, content scrapers, and customizable reranking services. * **Image Generation & Editing**: Generate images from text prompts using DALL-E (3/2), Stable Diffusion, Flux, or other MCP servers, and refine existing images with simple instructions. * **Multimodal & File Interactions**: Upload and analyze images with models like Claude 3, GPT-4.5, GPT-4o, and Gemini, or chat directly with files using various AI endpoints. * **Secure Multi-User Authentication**: Implement robust authentication with OAuth2, LDAP, and email login, along with built-in moderation and token spend tools for multi-user environments. ## Why Use LibreChat? LibreChat stands out as a premier open-source AI chatbot platform for several compelling reasons: * **Open-Source and Self-Hostable**: Gain complete control over your AI infrastructure, data privacy, and customization without reliance on third-party services. * **Extensive AI Model Support**: Access a vast ecosystem of AI models, from leading providers to custom and local endpoints, offering unparalleled flexibility and potential cost savings. * **Feature-Rich Experience**: Go beyond basic chat with advanced capabilities like Code Interpreter, AI Agents, Web Search, image generation, multimodal interactions, and conversation management tools. * **Secure Multi-User Environment**: Ideal for teams or community deployments, offering secure authentication, user management, and moderation features. * **Active Development and Community**: Benefit from continuous updates, new features, and a vibrant community that contributes to its ongoing improvement and support. ## Links * **GitHub Repository**: [https://github.com/danny-avila/LibreChat](https://github.com/danny-avila/LibreChat) (opens in a new tab) * **Official Website**: [https://librechat.ai](https://librechat.ai) (opens in a new tab) * **Documentation**: [https://librechat.ai/docs](https://librechat.ai/docs) (opens in a new tab)