Open WebUI
Run a self-hosted chat interface for local or API-based LLMs like Ollama behind your own login and controls — free at any scale if you keep default branding.
Alternatives
Overview
Open WebUI is a self-hosted, feature-rich web interface for running large language models locally through Ollama, LM Studio, or any OpenAI-compatible API backend, providing a polished, ChatGPT-like conversation experience on your own infrastructure without sending data to external services. The interface design prioritizes completeness: conversation history, model switching, multi-model comparison, system prompt configuration, document upload for RAG, web search integration, image generation, and voice input are all included out of the box rather than requiring separate configuration or extension installation. The RAG capabilities allow uploading documents, websites, and knowledge bases that the model references during conversation, enabling private knowledge base Q&A without proprietary cloud storage. User management and access controls enable team deployments where multiple users share the same infrastructure with individual conversation histories and configurable model access.
The Model Builder creates custom model configurations with specific system prompts and parameters that appear as named models in the interface, enabling pre-configured personas for different use cases. Docker deployment on any server or home lab hardware takes under ten minutes from a clean system. Open WebUI is free and open-source under the MIT license. Most commonly deployed by privacy-focused individuals, enterprise teams with data residency requirements, home lab enthusiasts, and development teams building on local models who need a quality conversation interface without building their own.
Key Features
- Multi-model conversations
- Document upload and RAG
- Web search integration
- User management for teams
- Conversation history
- Plugin support
- • Feature parity with commercial chatbots, free and private
- • Works with any OpenAI-compatible backend
- • Active development with frequent updates
- • Requires server setup and maintenance
- • Performance depends entirely on host hardware
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