Open WebUI vs AnythingLLM vs LibreChat

Three tools dominate the conversation when it comes to web interfaces for Ollama: Open WebUI, AnythingLLM, and LibreChat. Each one connects to the same local models — but they are built for fundamentally different use cases. This guide compares all three so you can pick the right one without installing them all first.

The Short Version

If you want the fastest setup, use Open WebUI. If you want to chat with documents and PDFs, use AnythingLLM. If you are managing multiple AI providers or deploying for a small team, use LibreChat. The rest of this guide explains why.

What Each Tool Is Built For

Open WebUI

Open WebUI is the closest thing to a drop-in replacement for ChatGPT running entirely on your own machine. It connects to Ollama with a single Docker command and requires no configuration file. The interface is clean, fast, and familiar to anyone who has used ChatGPT. It supports voice input, image generation (with compatible models), basic document uploads, and a model management panel. For a single user who wants a polished interface over their local models with zero friction, Open WebUI is the easiest choice.

AnythingLLM

AnythingLLM is purpose-built for RAG — Retrieval Augmented Generation. Where the other two tools treat document uploads as a minor feature, AnythingLLM is designed around them. You create workspaces, upload files (PDF, Word, Excel, HTML, Markdown, CSV, code files), and it chunks, embeds, and indexes everything using a local embedding model like nomic-embed-text. When you ask a question, it retrieves the most relevant passages and passes them to your LLM. It cites its sources. It keeps workspaces isolated so your client contracts do not bleed into your product manuals. If your primary use case involves asking questions about documents you own, AnythingLLM is the right tool.

LibreChat

LibreChat is the most fully featured of the three — and the most complex to set up. It is designed for multi-provider environments: you can have Ollama, OpenAI, Anthropic, Google Gemini, and Azure OpenAI all selectable from the same interface. It includes conversation forking (branching a chat at any message point), full MCP server support, and role-based access control for multiple users. If you are running AI tools for a team, or if you use both local models and cloud models and want a single interface for both, LibreChat is the natural choice.

Full Feature Comparison

Installation Complexity

If setup time matters, the gap between the three is significant.

Open WebUI is one command:

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

AnythingLLM is a standard desktop app install — download, run the installer, launch. The setup wizard walks you through selecting your LLM and embedding provider. You are running in under five minutes.

LibreChat requires cloning the repository, creating a YAML config file to define your endpoints, copying an environment file, and running Docker Compose. It takes 10–15 minutes and is straightforward — but it is more involved than the other two.

Which Should You Use?

Use Open WebUI if you:

• Want to be up and running in two minutes
• Need a solid single-user chat interface for local models
• Want image generation or voice input alongside chat
• Do not need document RAG or multi-provider support

Use AnythingLLM if you:

• Primarily want to chat with your own documents — contracts, manuals, reports, policies
• Need proper workspace isolation between different projects
• Want citations showing which document each answer came from
• Want to ingest websites, YouTube transcripts, or GitHub repos into your knowledge base

Use LibreChat if you:

• Use both local models and cloud APIs (OpenAI, Anthropic, Gemini) and want one interface
• Are deploying for a team and need user accounts, role-based access, and model whitelisting
• Want conversation forking or full MCP server integration
• Need full-text search across months of conversation history

Can You Run More Than One?

Yes. These tools do not conflict. Open WebUI runs on port 3000, AnythingLLM on 3001, and LibreChat on 3080 by default. All three can point to the same Ollama instance simultaneously. Some users run AnythingLLM for document work and Open WebUI for general chat — both pulling models from the same local Ollama server. The only constraint is RAM: each open chat window holds model context in memory, so running three concurrent sessions on three different interfaces with the same large model will compete for resources.

The Stack That Makes Sense

For most home users and small teams, the practical answer is: pick one and use it well rather than switching between all three. Open WebUI is the fastest path to daily use. AnythingLLM is the best tool if document work is central to what you do. LibreChat is the right choice when you need team access or multi-provider flexibility.

If you are not sure, start with Open WebUI — it has the lowest friction and the broadest feature set for general use. Add AnythingLLM when you have specific documents you want to query. Migrate to LibreChat when you are ready to bring a team onto local AI.

Related Guides

• How to Set Up Open WebUI with Ollama
• AnythingLLM + Ollama: Chat with Your Documents Privately
• LibreChat + Ollama: Setup Guide
• How to Run Qwen3 on Ollama
• What Is Ollama? A Beginner’s Guide to Local AI