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Open WebUI

Self-hosted AI platform that connects local and cloud models, extends with Python, and keeps your data under your control.

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Open WebUI is a self-hosted platform for running AI models without depending on a vendor's infrastructure. It works with local models via Ollama and cloud providers like OpenAI and Anthropic, all through a single interface. Your data stays where you put it.

It's built for people who want real control. That means no accounts required to get started, no third-party data handling, and no lock-in to a single model provider. It fits as well on a personal laptop as it does inside an enterprise network.

What you can connect and do:

  • Model flexibility: Connect Ollama, OpenAI, Anthropic, or any OpenAI-compatible API. Mix local and cloud models in the same workspace.
  • Voice, vision, and retrieval: Multimodal capabilities are included out of the box, not bolted on later.
  • Python extensions: Write custom tools and functions to extend behavior beyond what the default interface offers.
  • Web search integration: Pull live information into conversations without leaving the platform.
  • Enterprise controls: SSO, role-based access control, and audit logs for teams operating in regulated environments.

The community platform hosts over 410,000 members sharing prompts, models, tools, and functions. You can install what others have built or publish your own. It's a meaningful accelerator if you're experimenting or building on top of Open WebUI for others.

For teams evaluating AI interaction interfaces, Open WebUI sits in a different position than most. Tools like LLMChat or Dyad offer focused experiences for specific use cases, while Open WebUI is designed to be the central hub for everything AI-related in an organization. The scale backs that up: 290 million downloads and 139,000 GitHub stars point to broad, sustained adoption across individual users and large deployments alike.

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