Open WebUI is an open-source, ChatGPT-style graphical user interface designed to interact with Large Language Models (LLMs). It acts as an extensible, "self-hosted AI operating system", giving you full control over your AI environment and privacy.
Open WebUI
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Key Features
Model Agnostic: Connects to any AI model, including locally hosted models via Ollama (allowing for 100% offline usage) or cloud-based APIs like OpenAI, Anthropic, and Groq.
Built-in RAG (Retrieval-Augmented Generation): You can upload documents, PDFs, or website URLs directly to a knowledge base. The AI will then read, index, and reference these files during your chat sessions.
Custom AI Agents: Build specialized chatbots (e.g., a "Meeting Summarizer" or "Code Reviewer") by assigning custom system prompts, knowledge bases, and tools to specific models.
Pipelines & Functions: Extensible via Python, allowing you to add custom logic, function calling, live translation, or usage monitoring.
Team Collaboration: Features Role-Based Access Controls (RBAC), allowing administrators to set up shared workspaces, monitor usage, and control who has access to which models.
Rich Media Support: Native rendering for math equations, Mermaid diagrams, and code snippets.
Open WebUI
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Why People Use It
It is frequently used by individuals, teams, and enterprises to centralize their AI workflows. It is particularly popular among users who want the powerful, intuitive interface of premium AI assistants (like ChatGPT Plus) but want to run models locally on their own hardware to avoid subscription fees and protect sensitive data.
Open WebUI
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You can deploy and host it yourself using Docker. To learn more or get started, visit the Open WebUI Documentation.
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