Open WebUI vs AnythingLLM — Which Local AI Interface Is Right for You?

Open WebUI and AnythingLLM are the two most popular interfaces for local AI. Both let you chat with AI models and work with documents — but they take very different approaches.

Quick Verdict

• Choose Open WebUI if you want a self-hosted, multi-user web interface with powerful RAG and model management.
• Choose AnythingLLM if you want an all-in-one desktop app focused on document chat with minimal setup.

Feature Comparison

Open WebUI — The Self-Hosted ChatGPT

Open WebUI is a feature-rich web interface designed to look and feel like ChatGPT, but running entirely on your hardware.

Pros:

• Polished, responsive web interface accessible from any device
• Advanced RAG with document upload, web scraping, and citation
• Multi-user with admin controls, permissions, and user groups
• Works with multiple model backends (Ollama, OpenAI, LiteLLM)
• Active community with frequent updates
• Model management dashboard
• Built-in web search integration

Cons:

• Requires Docker — not a simple desktop install
• Needs a model backend (Ollama) running separately
• More complex initial setup
• Higher memory overhead

Best for: Teams sharing an AI setup, self-hosting enthusiasts, users who want browser-based access from multiple devices, users who need advanced RAG features.

AnythingLLM — The Document-First AI App

AnythingLLM is a desktop application built around document chat. Upload your documents, and the AI answers questions based on them.

Pros:

• Simple desktop installer — no Docker needed
• Document chat is the core experience, not an add-on
• Multiple workspaces for organizing different document sets
• Built-in agent tools for web browsing, file management
• Works with or without a separate model backend
• Lower barrier to entry for non-technical users

Cons:

• Desktop app only (no remote access without Docker setup)
• Less polished UI compared to Open WebUI
• Multi-user support is limited
• Smaller community and fewer integrations
• Less flexible model management

Best for: Individual users who primarily want to chat with documents, teams that need organized document workspaces, users who prefer a desktop app over a web interface, non-technical users who want minimal setup.

RAG Comparison

Both tools support RAG (Retrieval-Augmented Generation) — chatting with your documents — but they approach it differently.

Open WebUI RAG:

• Upload documents in the chat interface
• Documents are processed and embedded automatically
• Citations link back to source text
• Supports PDF, TXT, and web URLs
• Vector database built-in (ChromaDB)

AnythingLLM RAG:

• Create workspaces and add documents to them
• Each workspace has its own knowledge base
• More granular control over document processing
• Supports PDF, DOCX, TXT, CSV, and web URLs
• Built-in embedding and vector storage

For simple document chat, both work well. For advanced use cases with many documents and workspace organization, AnythingLLM has the edge. For multi-user document collaboration, Open WebUI is better.

Installation Comparison

Open WebUI:

docker run -d -p 3000:8080 \
  --add-host=host.docker.internal:host-gateway \
  -v open-webui:/app/backend/data \
  --name open-webui \
  ghcr.io/open-webui/open-webui:main

Requires Docker and Ollama running separately.

AnythingLLM:

1. Download from anythingllm.com
2. Install like any desktop app
3. Choose your model (built-in or connect to Ollama)
4. Start chatting

Much simpler for desktop users.

Which Should You Choose?

Can You Use Both?

Yes. Both connect to Ollama as their model backend, so you can install both and use them for different tasks:

• AnythingLLM for focused document work on your desktop
• Open WebUI for general chat and team access via browser

Summary

Both are excellent tools. Pick Open WebUI for its web interface and multi-user capabilities. Pick AnythingLLM for its document-first approach and easy desktop setup. And remember — both need a model runtime like Ollama underneath.

Learn more about setting up Ollama in our Ollama tutorial for beginners or see how it compares with LM Studio in our Ollama vs LM Studio guide.