You can install all three of these in an afternoon, point them at a model, and end up with the same thing on screen: a self-hosted, ChatGPT-shaped chat window that can read your documents, call tools, and speak Model Context Protocol. Lay their feature lists side by side and they blur into one — RAG, check; MCP, check; multi-user, check; agents, check. The feature matrix is where this comparison goes to die.
So ignore it for a second. The honest difference isn't what these projects do — it's who each one was built for. Get that right and the tool disappears into the work. Get it wrong and you spend months sanding against the grain.
They're three storefronts for the same trade
Here's the insight the checklist hides: these projects optimize for three genuinely different primary users.
Open WebUI is for the local-LLM power user and the person running ops. LibreChat is for the team replacing ChatGPT across many providers at once. AnythingLLM is for the person — or small team — who wants a document-chat workspace running today, ideally as a desktop app. Everything else follows from that.
The feature lists converged. The center of gravity didn't. Pick the project whose default user is you.
Open WebUI: the local-model workbench
Open WebUI started life as an Ollama UI, and it still wears that origin proudly. If your world is local models — a box with a GPU, weights pulled from Ollama, everything running offline — nothing else here is as comfortable. You get model management, side-by-side multi-model chat, local RAG with a choice of vector database backends, and native Python function-calling tools you can write in an in-app editor.
The other half of its personality is operations. Open WebUI has the most serious access controls of the three: role-based access control, user groups, and granular per-feature permissions — the kind of thing you want when you're handing a self-hosted UI to a department, not just yourself. With roughly 143k GitHub stars, it also has the largest community and the fastest-moving ecosystem of plugins and integrations.
The asterisk is the license. Open WebUI moved off a standard open-source license to its own "Open WebUI License" with a contributor agreement and a branding-preservation clause; the project itself acknowledges this is not OSI-approved. In practice the branding requirement only applies above 50 users in a rolling 30-day window — under that you can fully rebrand — but if you were planning to white-label it at scale, that's now a paid Enterprise License conversation, not a free-software one.
LibreChat: the multi-provider service desk
LibreChat answers a different question: my team uses five different model providers and I want one secure, self-hosted UI in front of all of them. It unifies OpenAI, Anthropic, Google (Gemini/Vertex), AWS Bedrock, Azure, Groq, DeepSeek, Mistral, OpenRouter and more behind a single ChatGPT-style interface — the broadest provider story of the three by a comfortable margin.
It's also the one built like a team product from the start. It's MIT-licensed (no branding strings), ships multi-user auth via OAuth2, LDAP, and email, and includes agents, MCP tool support, and a genuinely useful sandboxed code interpreter that runs Python, Node, Go, Rust and more in isolation. At roughly 40k stars it's the smallest community of the three, but the most coherent if your mental model is "ChatGPT, but self-hosted and provider-agnostic, for my whole org."
LibreChat does file chat too, but notice the framing: it's a conversation platform that can read files, not a document workspace that happens to chat. If your center of gravity is the documents themselves, that distinction matters — which is the whole pitch of the third option.
AnythingLLM: the all-in-one reading room
AnythingLLM is the fastest path from "I have a folder of PDFs" to "I'm chatting with them, with citations." It's organized around document workspaces: drag files in, it chunks and embeds them into bundled vector storage, and you chat against that workspace with source attribution. Around 62k stars and MIT-licensed, it supports 30+ providers and a stack of embedders and vector databases.
Its real differentiator is packaging. AnythingLLM ships as a one-click single-user desktop app for Mac, Windows, and Linux — bundled local engine, CPU embedder, and LanceDB included — which is genuinely the lowest-friction on-ramp here. The catch is the split documented in its own docs: the desktop app is single-user, and agents plus multi-user (admin/manager/user roles) require the Docker deployment. So AnythingLLM is two products wearing one name — a frictionless personal RAG app and a self-hosted multi-user server — and which one you get depends on how you install it.
How to choose
Stop scoring features. They've converged: all three do RAG, MCP, tools, and multi-user in some form, and the checkmarks will keep equalizing. Choose by who's holding the keyboard, because that's the thing each project actually optimized for and won't change with the next release.
- You run local models and need ops controls — Open WebUI. Best Ollama experience, deepest RBAC and user groups, biggest community. Just go in clear-eyed that the license has a branding clause and isn't OSI-approved above 50 users.
- A team needs many providers in one secure, self-hosted UI — LibreChat. MIT, the widest provider matrix, real auth (OAuth/LDAP), agents, MCP, and a sandboxed code interpreter. The "ChatGPT replacement for an org" pick.
- You want document chat working today — AnythingLLM. The one-click desktop app is the lowest-friction RAG on-ramp in this group; move to Docker when you need agents or multiple users.
Two practical cross-cutting notes. First, whichever UI you pick, your RAG quality is decided upstream of it — by your chunking strategy and embeddings — far more than by the front-end's logo. Second, if you're wiring these into custom tools, all three speak MCP, so the tool you build as an MCP server will likely outlive whichever chat front-end you chose this quarter. That's the comforting part: the bet you're making is on workflow fit, not lock-in. Pick the storefront that already looks like your trade, and let the tool disappear.
