LibreChat vs Open WebUI
Side-by-side comparison of two AI agent tools
Short answer
- Open WebUI is growing faster: +3,942 GitHub stars in the last 30 days vs +1,618 for LibreChat.
- Pick LibreChat for: open-source ChatGPT-like interface for multiple AI models, agents, and sandboxed code execution. Pick Open WebUI for: user-friendly AI Interface (Supports Ollama, OpenAI API, ...).
From GitHub data refreshed daily.
LibreChatopen-source
Open-source ChatGPT-like interface for multiple AI models, agents, and sandboxed code execution
Open WebUIfree
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Metrics
| LibreChat | Open WebUI | |
|---|---|---|
| Stars | 45.2k | 153.8k |
| Star velocity /mo | 1.6k | 3.9k |
| Commits (90d) | 1.2k | 1.5k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8873007006143964 | 0.8872949737970779 |
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
- +Multi-provider AI integration supporting both local Ollama models and remote OpenAI-compatible APIs in a single interface
- +Self-hosted deployment with complete offline capability ensuring data privacy and security control
- +Enterprise-grade user management with granular permissions, user groups, and admin controls for organizational deployment
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
- -Requires technical expertise for initial setup and maintenance of Docker/Kubernetes infrastructure
- -Self-hosting demands dedicated server resources and ongoing system administration
- -Limited to local deployment model, lacking the convenience of managed cloud AI services
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
- •Enterprise organizations deploying private AI assistants with strict data governance and user access controls
- •Development teams building local AI workflows with multiple model providers while maintaining code and data privacy
- •Educational institutions providing students and faculty with controlled AI access without external data sharing
FAQ
- Which is more popular, LibreChat or Open WebUI?
- Open WebUI has more GitHub stars (153,800 vs 45,203).
- Which is more actively developed, LibreChat or Open WebUI?
- Open WebUI had more commits in the last 90 days (1,515 vs 1,199).
- Should I use LibreChat or Open WebUI?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.