LibreChat

Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message se

open-sourceagent-protocols tool-integration

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35.0k

Stars

+2917

Stars/month

Releases (6m)

Overview

LibreChat is an enhanced ChatGPT-like interface that provides access to multiple AI models and providers through a unified, user-friendly platform. With over 35,000 GitHub stars, it serves as a comprehensive solution for users who want the ChatGPT experience while maintaining flexibility in AI model selection. The platform supports major providers including Anthropic (Claude), OpenAI, Google, AWS Bedrock, Azure OpenAI, and Vertex AI, along with custom endpoints for any OpenAI-compatible API. LibreChat features a secure Code Interpreter API that supports sandboxed execution in multiple programming languages including Python, Node.js, Go, C/C++, Java, PHP, Rust, and Fortran. The platform enables seamless file handling with upload, processing, and download capabilities, making it suitable for both conversational AI and practical coding tasks. Its open-source nature and extensive provider compatibility make it an ideal choice for developers, researchers, and organizations seeking a self-hosted alternative to proprietary AI interfaces.

Pros

+ Extensive AI model support with 20+ providers including Anthropic, OpenAI, Google, and custom endpoints for maximum flexibility
+ Built-in Code Interpreter with secure sandboxed execution across multiple programming languages (Python, Node.js, Go, C/C++, Java, PHP, Rust, Fortran)
+ Self-hosted and open-source with strong community support (35K+ GitHub stars) and easy deployment options on Railway, Zeabur, and Sealos

Cons

- Requires technical setup and maintenance compared to hosted solutions like ChatGPT or Claude
- Multiple provider integrations may require separate API keys and configuration management
- Resource-intensive when running locally with code execution capabilities

Use Cases

• Organizations needing a self-hosted ChatGPT alternative with control over data privacy and AI provider selection
• Developers requiring integrated code execution and file processing capabilities alongside conversational AI
• Research teams wanting to compare outputs across multiple AI models (OpenAI, Anthropic, Google) within a single interface

Getting Started

1. Deploy using one-click options (Railway, Zeabur, Sealos) or clone the repository from GitHub. 2. Configure your desired AI providers by adding API keys for services like OpenAI, Anthropic, Google, or custom endpoints in the configuration file. 3. Launch the web interface and start chatting with your preferred AI models, utilizing features like model switching, code execution, and file uploads.