AnythingLLM vs Open WebUI: Which Local AI Interface Should You Choose?

If you have settled on a local model runner — whether Ollama, LM Studio, or TabbyAPI — the next decision is which interface sits in front of it. AnythingLLM and Open WebUI are the two leading options, and choosing between them depends on how you work with documents, teams, and external tools.

For a quick overview of both, read the earlier Open WebUI vs AnythingLLM comparison. This guide goes deeper into the specific feature differences.

Document workspaces

AnythingLLM organises documents into workspaces, each with its own vector database, embedding model, and configuration. You can have a workspace for legal documents, one for technical manuals, and another for customer support — all with independent settings.

Open WebUI handles documents per conversation. Upload a file, and it is embedded into that chat's context. This is simpler but less structured for users who work across multiple document domains.

**Winner for documents:** AnythingLLM, if you need separate, independently configured workspaces.

Multi-user support

Open WebUI has more mature user management with role-based permissions, session handling, and admin dashboards. It supports self-registration, invite links, and per-user model access controls.

AnythingLLM supports multi-user through its paid tiers, but the free version is primarily single-user. For teams on a budget, Open WebUI's built-in authentication is a clear advantage.

**Winner for teams:** Open WebUI.

Model management

Open WebUI connects to multiple model providers simultaneously — Ollama, OpenAI API, Anthropic, and custom endpoints — and lets you switch models mid-conversation. It also supports model routing and fallback chains.

AnythingLLM connects to a wider range of providers by default, including local runners, cloud APIs, and specialised embedding services. Its provider selection is broader, but switching models mid-session is less fluid.

**Winner for flexibility:** Tie — Open WebUI for multi-model workflows, AnythingLLM for provider variety.

Agent and tool use

Open WebUI has experimental tool-use features including web search and code execution. These are evolving rapidly and give the interface capabilities beyond pure chat.

AnythingLLM focuses on retrieval and document workflows rather than general agentic capabilities. It does not attempt to be a coding agent or web search tool.

**Winner for agent features:** Open WebUI.

Deployment complexity

Both run well in Docker. Open WebUI has a simpler single-container setup. AnythingLLM's multi-workspace architecture adds some configuration overhead but pays off in organised document management.

For Docker deployment patterns, see Docker Setup for Local AI Tools.

Which should you choose?

Choose **Open WebUI** if you want a general-purpose chat interface with multi-user support, tool use, and multi-model routing. Choose **AnythingLLM** if your primary need is document-centric workspaces with per-project retrieval configurations.

Many people run both on the same backend. There is no rule that says you must pick one.

Conclusion

Open WebUI and AnythingLLM serve different primary use cases. Match the tool to your dominant workflow rather than trying to make one tool do everything.

FAQ

Can I switch between Open WebUI and AnythingLLM without changing my model runner?

Yes. Both connect to the same Ollama or OpenAI-compatible backend.

Do I need a separate database for each?

Open WebUI uses SQLite by default. AnythingLLM uses LanceDB for vector storage. Both can be configured with external databases.

Which has better mobile support?

Open WebUI has a responsive web interface that works well on mobile browsers. AnythingLLM's interface is desktop-focused.