Overview

AnythingLLM vs Open WebUI: two takes on self-hosted Chat UI

AnythingLLM (63k+ stars, MIT) is a RAG-first desktop plus server Chat UI with a built-in vector store and workspace concept. Open WebUI (146k+ stars) is a general ChatGPT replacement with native Ollama support and full multi-user management. We compare RAG depth, model support, deployment, extensibility, and typical scenarios.

Projects Compared

Open WebUI

Python · NOASSERTION

148.4k ★

Open WebUI is a feature-rich, user-friendly self-hosted AI platform supporting Ollama and OpenAI-compatible APIs, with RAG, agents, and MCP capabilities.

llmself-hostedollamaragpython
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Feature Comparison

Best for Open WebUI
Product positioning RAG-first: built-in vector stores (LanceDB, Chroma, Qdrant), and \"workspace = one knowledge base\" is a first-class concept. Document parsing (PDF, DOCX, web) is built in.
Model support OpenAI, Anthropic, Ollama, LM Studio, vLLM, OpenRouter, and 10+ other providers. No provider pickiness.
Deployment Desktop (Electron for macOS / Windows / Linux) plus Docker self-host plus Mintplex managed cloud. Large desktop user base.
Extensibility Agent capability (custom agents, tools, skills) is built in. The Skill mechanism lets you upload custom tool sets.
Best fit Individuals or small teams who want to turn a pile of local documents into a queryable knowledge base, with the whole RAG stack running on local Ollama.

GitHub Stats

Metric Open WebUI
Stars 148.4k
Forks 21.6k
Language Python
License NOASSERTION
Last commit August 11, 2026

Which one should you choose?

Choose based on your primary workflow, language ecosystem, and integration needs. Review each project's documentation and recent GitHub activity before adopting it in production.

Frequently asked questions

Is AnythingLLM RAG truly out of the box?

Yes. Create a workspace, upload PDF / DOCX / web URLs, and AnythingLLM chunks plus embeds plus stores them in the built-in vector store automatically. You can have the first pipeline running in under 5 minutes. Open WebUI RAG requires going through Functions or the document upload feature.

Which is better for an internal company knowledge base?

Pick AnythingLLM for an internal knowledge base: built-in multi-workspace (departments or projects isolated), straightforward RAG configuration. Caveat: the default is a desktop app; for enterprise deployment you switch to Docker or Mintplex Cloud, and RBAC plus SSO require the paid cloud tier. Open WebUI also supports multi-user but the RAG path is longer.

Do both support local Ollama?

Yes. AnythingLLM picks Ollama through the provider configuration; Open WebUI treats Ollama as a first-class citizen and runs it in the same Docker container. Both have mature Ollama integration.

Is the AnythingLLM Electron desktop app heavy?

About 200 MB installer covering macOS, Windows, and Linux. The backend is Node.js; the frontend is React on Electron. On a typical 8 GB+ laptop it is fine; older machines may feel slow. The Docker edition has no Electron dependency and is lighter.