Open WebUI vs AnythingLLM

Both give you an interface for talking to language models, local or through an API, and both can work with your documents. Open WebUI is a web chat interface with users, tools and plugins; AnythingLLM is built around asking questions of your documents and installs as a desktop app or a Docker server.

By Jorge Aguilar · Checked against the official documentation; not a lab test · Updated October 30, 2026

Guide: Open WebUI Guide: AnythingLLM GitHub Open WebUI (opens in a new tab) GitHub AnythingLLM (opens in a new tab)

Side by side.

Comparison of Open WebUI and AnythingLLM, with data from their guides
Item	Open WebUI	AnythingLLM
Who it is for	For anyone who already runs models with Ollama (or uses an API) and wants a web chat interface with users, documents and tools.	For anyone who wants to ask questions of their own documents with a language model, local or from a cloud provider, from the desktop app or a server.
Systems	Installs with pip (Python 3.11 or 3.12), Docker or Kubernetes, and is used from the browser (a PWA is available). The desktop app is a separate repo.	Desktop app for Mac, Windows and Linux; server with Docker (amd64 and arm64 images); Android mobile app in a separate repo.
License	Open WebUI License (BSD-3 with a branding clause) Custom licenseCustom license: 3-clause BSD plus a condition that forbids removing or changing the "Open WebUI" branding, except with up to 50 users in 30 days, with written permission, or with an enterprise license. It is not MIT or a standard license. The README also clarifies that the repository mixes licenses: earlier contributions keep theirs (see LICENSE_HISTORY).	MIT Permissive open sourceMIT: permissive license. You can use, modify and redistribute it, including in commercial products, as long as you keep the copyright notice.
RAM	Not documented	minimum: 2 GB Whole service
CPU	Not documented	minimum: 2 cores Whole service
Disk	estimated: 1.62 GB Whole service	minimum: 5 GB Whole servicerecommended: 10 GB Whole service
Figures leave out	The language model you connect (Ollama or another API): it is hosted separately and needs its own resources.	The local or built-in language model (if you turn it on): it needs memory of its own depending on the model, and the docs recommend a GPU.
Install	3 steps (3 with a command) see steps	3 steps (1 with a command) see steps
Repo and docs	GitHub (opens in a new tab) · Documentation (opens in a new tab)	GitHub (opens in a new tab) · Documentation (opens in a new tab)
On this site	Full guideCheck whether your machine can handle it	Full guideCheck whether your machine can handle it

The figures come as-is from each repo's documentation and are never added across different scopes. A dashed label means that figure is not the total (per process, per user, from an example…): the guide explains each one. "Steps" counts the steps in the guide, not how long it takes.

Which one fits you.

Pick Open WebUI if…

You already run Ollama (or use an OpenAI-compatible API) and want a web chat interface.
You need several users with roles and group permissions.
You want to search the web from the chat, use voice or generate images with engines like ComfyUI or AUTOMATIC1111.
You want to extend it with plugins and tools.

Watch out with Open WebUI

Its license is its own: 3-clause BSD plus a condition that forbids removing or changing the "Open WebUI" branding (with exceptions). It is not MIT.
The interface ships no models: it needs Ollama or another API.
The :dev branch is unstable, according to its own README.

Pick AnythingLLM if…

You want a desktop app for Mac, Windows or Linux, with no server to set up.
What matters most is chatting with your documents and seeing the cited sources.
You want agents and a no-code agent builder.
You need a standard permissive license (MIT), not one with a branding clause.

Watch out with AnythingLLM

Multi-user, the embeddable widget and branding themes are Docker-only.
Anonymous telemetry is on by default; turn it off with DISABLE_TELEMETRY=true or under Privacy in the app. There are still connections to cdn.anythingllm.com and to GitHub.
The Docker command in the guide adds --cap-add SYS_ADMIN to the container.

What they share.

Chat with local models (Ollama, llama.cpp, LM Studio) or with cloud APIs.
Work with your own documents (RAG).
Support MCP.
If you connect a cloud API, your messages go to that provider.
The requirement figures for both leave out the language model: that depends on the model you connect.

What neither does.

Neither is the model: answer quality and the hardware you need depend on the model you connect.
Neither guide measures speed or answer quality; there are no lab tests behind them.

In short.

If you already have Ollama and want a web interface for several people, Open WebUI. If you want to open an app on your computer and talk to your documents with nothing to set up, or you need an MIT license, AnythingLLM.

This is guidance based on what the guides say, not a score or a test. If your case is critical, read the official documentation of both.

Where all of this comes from.

Checked against the official documentation; not a lab test. This comparison was put together on October 30, 2026 from each repo's guide, which were checked on October 29, 2026. Nothing was installed or measured. If something has changed, the project's documentation is the authority.

Open WebUI

AnythingLLM

How I review each repo.

Keep going.

Guide: Open WebUI Guide: AnythingLLM Check whether your machine can handle them All comparisons