Open WebUI is a self-hosted AI platform: a browser-based chat workspace that you install on a laptop, server or cluster and then connect to the models you choose. It is built to run entirely offline and supports Ollama and OpenAI-compatible APIs, so one interface can serve both local models and cloud-hosted ones.
Open WebUI bills itself as the self-hosted AI interface, a platform for running AI on your own terms. Open WebUI has no models of its own, so every conversation runs on a provider or local runtime that an administrator connects. The project's website, including its community hub, belongs to Open WebUI, Inc.
As captured on October 5, 2026, the homepage showed 406M+ downloads, 506K+ community members and 154K+ GitHub stars; these are vendor-published counters, not audited usage figures.
Licensing is the first thing to check. With v0.6.6 in April 2025, the project kept a permissive base but added a branding-protection clause, which shapes who can rebrand the interface and who needs a paid license.
Open WebUI combines chat, retrieval, plugins and user management in one deployment. What a given instance can do depends on which model providers, search engines and storage the administrator connects.
Because Open WebUI sits between users and models, a local LLM interface and a cloud gateway are the same product configured differently. The selected endpoint decides where inference happens: a cloud model receives the prompt and included context, and a multi-model comparison sends the prompt to every selected endpoint.
The Python route is pip install open-webui followed by open-webui serve. No account with the vendor is required to get started. A single-user mode without login also exists, but an instance started that way cannot later be switched to multi-account mode.
These customer outcomes are self-reported on vendor-hosted pages and were not independently measured.
Open WebUI suits people who are prepared to run and maintain their own service.
It is a weaker fit in these cases:
| Deployment model | License requirement |
|---|---|
| Standard use: internal use with the original branding exactly intact | Free |
| Enterprise use: white-labeling, rebranding, branding changes or enterprise-only offerings such as Terminals | Enterprise license, priced by sales quote |
You can deploy Open WebUI today without an enterprise agreement, and the vendor says enterprise clients and individual sponsors are what keep it free to use as-is. Terminals, the enterprise layer named in that table, gives every user an isolated environment with resource limits and automatic lifecycle management.
The free path changes once branding matters. Branding requirements apply only to larger deployments of 50+ users in aggregate, and self-hosted internal deployments with 50 or fewer users may fully rebrand. Removing the branding for mass redistribution or resale requires an enterprise or proprietary license.
Optional enterprise licenses add benefits such as white labeling and dedicated support for businesses. No list price appeared on the enterprise pages checked; sales asks for an official work email address and the expected number of end-user seats.
Open WebUI Computer is a separate Open WebUI project with its own pricing. Its use is free even at work with no account or card, the Supporter plan costs $60 / seat / year for extras, and enterprise terms are custom.
Two alternatives cover the main directions people weigh against Open WebUI: a multi-provider web platform and a desktop-first private assistant.
Open WebUI differs from the desktop-first option by running as a multi-user server, and its branding clause is the licensing point to compare against each alternative's own license.
Yes for standard use: you can deploy it for internal use with the original branding intact without paying. An enterprise license is needed for white-labeling, rebranding above the small-team threshold or enterprise-only features such as Terminals.
The source code is public, and code up to v0.6.5 is BSD-3 licensed. From v0.6.6 the Open WebUI license adds a branding clause, and the project itself says this license is not OSI-approved.
No. You connect a local runner such as Ollama, llama.cpp or vLLM, or a hosted API from OpenAI, Anthropic or another OpenAI-compatible provider.
Only in specific cases: deployments with 50 or fewer users, substantive contributors with written permission, or holders of an enterprise license that allows branding changes.