LibreChat vs Onyx

Side-by-side comparison of two AI agent tools

LibreChatopen-source

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

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Onyxopen-source

Open Source AI Platform - AI Chat with advanced features that works with every LLM

Metrics

LibreChatOnyx
Stars45.2k32.3k
Star velocity /mo1.6k2.7k
Commits (90d)1.2k1.5k
Releases (6m)1010
Overall score0.84553269401767660.8919581564506271

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
        View LibreChat DetailsView Onyx Details

        FAQ

        Which is more popular, LibreChat or Onyx?
        LibreChat has more GitHub stars (45,164 vs 32,300).
        Which is more actively developed, LibreChat or Onyx?
        Onyx had more commits in the last 90 days (1,505 vs 1,193).
        Should I use LibreChat or Onyx?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.