The best Ollama GUI for most people is Ollama's own desktop app on Mac and Windows; pick Open WebUI for a shared or multi-user server, Page Assist for a browser extension, AnythingLLM for chatting with documents, and Enchanted or Chatbox for a phone. Every one of them talks to the same local Ollama server on port 11434, so you can try two without downloading your models again (Sources: Ollama blog, Ollama docs).
An Ollama GUI, also searched as an Ollama UI or Ollama web UI, is a front-end: a chat interface that sits on top of the Ollama runtime and sends your prompts to it. The runtime does the inference; the front-end adds features such as document chat, user accounts, or MCP tools. The matrix below compares nine front-ends, with licenses and release dates checked against each project on 2026-09-30.
Key takeaways:
- Mac or Windows, one person: start with the official Ollama app. It chats, reads dropped files and images, and needs nothing else installed.
- Linux desktop or a team: Ollama ships no Linux app, so run Open WebUI, which works on any OS and includes role-based accounts in the free self-hosted install.
- Inside the browser: Page Assist adds a sidebar to Chrome, Edge, Brave, or Firefox and supports MCP tools.
- Phone: Enchanted on iPhone, Chatbox or Reins on Android, or install Open WebUI as a web app.
Does Ollama have a GUI? What the official app does
Yes. Since July 2025, Ollama's installer for macOS and Windows includes a desktop app that downloads models and chats with them. It accepts dragged-in text files and PDFs, sends images to vision models, and exposes a context length setting for longer documents, at the cost of more memory (Source: Ollama blog).
The app has clear limits, and they explain why third-party front-ends still exist. Linux gets no desktop app: the documented Linux install is the curl -fsSL https://ollama.com/install.sh | sh script plus ollama serve, which gives you the server and CLI only (Source: Ollama docs). The app is also a single-user local tool with no accounts, no persistent knowledge base, and no MCP client. The request to add Model Context Protocol support has been open since November 2024, and a request for a thinking on/off toggle in the UI was still open in September 2026.
To start the Ollama GUI, launch Ollama from Applications on a Mac or the Start menu on Windows. The same install registers a login item and serves the API at http://localhost:11434, which is also the address every other front-end in this guide connects to (Source: Ollama docs). If you prefer the terminal, the Ollama commands cheat sheet covers the CLI side.
Ollama GUI selection matrix
Read it left to right: rule out anything that does not run where you need it, check the Docker column, then match the one extra capability you need. "Not listed" means the project's README or docs do not document the feature; it does not prove the feature is absent.
| Front-end | Runs on | Install | Docker needed | Multi-user | Document chat (RAG) | MCP tools | License | Latest release |
|---|---|---|---|---|---|---|---|---|
| Ollama app | macOS 14+, Windows 10 22H2+ | Ollama installer | No | No | Drag-and-drop files only | No (request open) | MIT | Ships with Ollama v0.34.4, 2026-09-23 |
| Open WebUI | Web server on macOS, Linux, Windows; PWA on phones | Docker or pip install open-webui | Optional | Yes, RBAC | Yes, Knowledge Bases | Yes, native since v0.6.31 | Open WebUI License (BSD-3 base plus branding clause) | v0.11.4, 2026-09-21 |
| Page Assist | Chrome, Brave, Edge, Firefox | Browser extension store | No | No | Yes, stored in the browser | Yes, Streamable HTTP | MIT | v1.5.85, 2026-09-27 |
| AnythingLLM | Desktop on Mac, Windows, Linux; or server | Installer or Docker | Only for multi-user | Docker version only | Yes, core feature | Yes | MIT | v1.16.2, 2026-09-22 |
| Msty Studio | Desktop | Installer | No | Teams plan | Knowledge Stacks, limited on Free | Yes, limited on Free | Proprietary, free tier | Closed source |
| Chatbox | Windows, Mac, Linux, iOS, Android | Installer or app store | No | No | Not listed | Not listed | GPLv3 Community Edition | v1.23.5, 2026-09-24 |
| Enchanted | macOS, iOS, visionOS | App Store | No | No | Not listed | Not listed | Apache-2.0 | v1.8.2, 2026-06-15 |
| Reins | iOS, macOS, Android, Linux, Windows | App Store, Flathub, GitHub | No | No | Not listed | Not listed | GPL-3.0 | v1.3.4, 2026-02-24 |
| Hollama | Browser, plus desktop builds | Hosted page, desktop, or Docker | Optional | No | Not listed | Not listed | MIT | 0.35.4, 2025-10-12 |
The rows come from each project's own documentation and its GitHub releases page, not from other roundups (Sources: Ollama docs, Open WebUI docs, Page Assist docs, AnythingLLM README). The license column matters more than most lists admit: one popular ranking page lists Open WebUI as MIT, while the project's license page says the terms changed with v0.6.6 in April 2025.
Best Ollama GUI by use case
The fastest route to the best Ollama GUI is to name the one capability you need beyond chat. This table maps common situations to a first pick and a fallback.
| If you need | Pick | Why | Fallback |
|---|---|---|---|
| One person on a Mac or Windows PC | Ollama app | Already installed with Ollama, no setup | Chatbox or Msty Studio |
| A GUI on a Linux desktop | Open WebUI via pip | No official Linux app exists | AnythingLLM Desktop, Reins on Flathub |
| An Ollama UI inside your browser | Page Assist | Sidebar on any page, chat with the page | Hollama in a tab |
| A team or family sharing one server | Open WebUI | Accounts, roles, and groups built in | AnythingLLM in Docker |
| Chat with PDFs and folders of documents | AnythingLLM | Document workspaces are the core product | Open WebUI Knowledge Bases |
| MCP tools from a chat window | Open WebUI or Page Assist | Both document MCP support | Msty Studio paid tier |
| iPhone, iPad, or Vision Pro | Enchanted | Native Apple app for your own Ollama server | Reins, Open WebUI PWA |
| Android phone | Chatbox or Reins | Both publish Android builds | Open WebUI PWA |
Inference: the Ollama app wins the single-user case because it removes a second install, not because it has more features. Once you need accounts, a knowledge base, or tools, a third-party front-end is the better fit (Sources: Ollama blog, AnythingLLM README).
Open WebUI: the Ollama web UI for teams
Open WebUI is a self-hosted web interface that connects to Ollama and other model servers, and it is the default answer when more than one person needs access. Administrators get role-based access control with three system roles plus groups and per-feature permissions. Users get Knowledge Bases for asking questions across uploaded documents, and since v0.6.31 the server can call MCP tools natively (Source: Open WebUI docs).
You do not have to use Docker. The docs call Docker "officially supported and recommended," but they also document pip install open-webui followed by open-webui serve, which serves the UI on http://localhost:8080. The Python route needs Python 3.11 or 3.12; 3.13 is not supported yet. If you do use the container, the :slim image is about 176 MB against 1.66 GB for :main (Source: Open WebUI docs).
Check the license before you rebrand it. Since v0.6.6, the Open WebUI License adds a clause that forbids removing the "Open WebUI" name and logo unless the deployment has 50 or fewer users in a rolling 30-day window, you have written permission, or you hold an enterprise license. Code up to v0.6.5 remains BSD-3-Clause (Source: Open WebUI docs).
If you already run it in a container, two companion guides pick up from here. Keeping it current without losing chats is covered in the Open WebUI Docker update guide, and wiring the container to Ollama with GPU access is covered in Ollama Docker GPU setup.
Page Assist: an Ollama UI inside your browser
Page Assist is an open-source browser extension that opens a sidebar on any webpage and a full-tab web UI, both pointed at your local Ollama. It installs from the Chrome, Firefox, and Edge stores and also runs on Brave. Because it lives in the browser, it needs no Docker, no Python, and no port of its own (Source: Page Assist docs).
It does more than chat. The Knowledge Base feature accepts PDF, DOCX, TXT, CSV, and Markdown files, but it stores embeddings in browser storage, and the docs warn this may cause performance issues with large sets. They recommend an embedding model such as nomic-embed-text rather than a chat model for that job (Source: Page Assist docs).
MCP support connects the extension to remote servers over Streamable HTTP, with bearer or OAuth 2.1 auth, and a setting that asks for approval before any tool runs. Turn that setting on for servers that can write files or send messages. Support is still maturing: an open Page Assist issue from September 2026 reports MCP tools registering without requests ever reaching the server. If you are deciding whether tools or retrieval is the right fit, see MCP vs RAG.
AnythingLLM and Msty for document chat
AnythingLLM is an all-in-one app built around document workspaces: you add files, it embeds them, and you chat against them with Ollama as the model provider. It also runs agents and is MCP-compatible. The desktop build covers Mac, Windows, and Linux, but its README marks multi-user support and permissioning as "Docker version only," so a shared install means running the server edition (Source: AnythingLLM README).
Pick the desktop build for a private library on your laptop and the Docker build when several people share workspaces. Both are MIT licensed.
Msty Studio covers similar ground in a closed-source desktop app that can drive Ollama, llama.cpp, or MLX. Its Free tier costs $0 and includes chat with local models, while Knowledge Stacks for RAG and MCP tools are marked limited on Free. The Aurum tier costs $149 per user per year (see Msty pricing). Inference: choose Msty only if you want its polish and accept a proprietary license; AnythingLLM does the document job under MIT (Source: AnythingLLM README).
Mobile and Apple-native Ollama clients
Phones cannot run your desktop's models, so a mobile Ollama UI is a remote control for an Ollama server on your network. Ollama binds to 127.0.0.1 by default, so set OLLAMA_HOST on the server machine before a phone can reach it, and point the app at that machine's LAN address rather than localhost (Source: Ollama docs).
On Apple devices, Enchanted is the native option: an open-source Swift app for macOS, iOS, and visionOS, distributed through the App Store under Apache-2.0. It needs your own Ollama server. Its README now points to a successor project called Jaz, and its last release shipped in June 2026, so treat it as stable rather than fast-moving.
On Android, Chatbox publishes an APK alongside its Windows, Mac, Linux, and iOS builds, and Reins ships Android and Windows releases next to its App Store and Flathub listings. Reins focuses on per-chat settings such as system prompt, temperature, and context size.
The zero-install route is Open WebUI itself. Every Open WebUI instance is a Progressive Web App, so you can add it to a phone's home screen from the browser and get a full-screen app window with no separate download (Source: Open WebUI docs).
Lightweight options and what is not an Ollama GUI
If Open WebUI feels heavy, Hollama is a minimal chat app that runs entirely in your browser and stores data locally. It supports Ollama and OpenAI-compatible servers, several servers at once, and model downloads from the UI, and it also offers desktop builds and a Docker image. Its last release was 0.35.4 in October 2025, which suggests slower maintenance than the leaders. It's FOSS includes it among 12 web UI tools for Ollama, alongside options such as Lobe Chat and LibreChat that cover similar chat-first ground (Source: It's FOSS).
LM Studio is not an Ollama front-end. It is a separate runtime with its own model downloads, so it replaces Ollama rather than sitting on top of it; see LM Studio vs Ollama for that choice, or Ollama alternatives for the other runtimes. Whichever GUI you choose, it does not change which models fit your hardware: for that, use the LLM VRAM calculator and the best Ollama model for coding picks.
FAQ
Is there any GUI for Ollama?
Yes. Ollama's own desktop app for macOS and Windows is a GUI for chatting with local models, and it installs with Ollama. For Linux, teams, browsers, or phones, third-party front-ends such as Open WebUI, Page Assist, AnythingLLM, Enchanted, and Chatbox connect to the same Ollama server on port 11434.
Is there a desktop app for Ollama?
Yes, since July 2025 on macOS and Windows. The app downloads models, chats with them, accepts dropped text files, PDFs, and images, and has a context length setting. It has no Linux version, no user accounts, and no MCP support, which is why many people still add a separate front-end.
How to start Ollama GUI?
On a Mac, open Ollama from the Applications folder; on Windows, launch it from the Start menu. The installer also registers Ollama as a login item, so it may already be running. On Linux there is no official GUI, so install Open WebUI with pip install open-webui and run open-webui serve.
Which is better, Open WebUI or AnythingLLM?
Open WebUI is better for a shared server: it has role-based accounts, Knowledge Bases, and native MCP support. AnythingLLM is better for a private document library on one machine, because its desktop app installs without Docker. AnythingLLM's multi-user mode needs its Docker version, which narrows the gap for teams.
Is Ollama free to use?
Yes. Ollama is open source under the MIT license, and running models locally costs nothing beyond your hardware and electricity. Most front-ends in this guide are also free and open source; Msty Studio is the exception, with a free tier and a paid Aurum plan at $149 per user per year.
Related coverage
- Open WebUI Docker Update: Backup, Pinning, and Rollback
- Ollama Docker GPU: Fix CPU Fallback and Open WebUI
- Best Ollama Model for Coding: Picks by VRAM and Agent Tool
- Ollama Commands: CLI Cheat Sheet, Env Vars, Update and Uninstall
References
- AnythingLLM README - https://github.com/Mintplex-Labs/anything-llm
- It's FOSS - https://itsfoss.com/ollama-web-ui-tools/
- Ollama blog - https://ollama.com/blog/new-app
- Ollama docs - https://docs.ollama.com/linux
- Open WebUI docs - https://docs.openwebui.com/getting-started/quick-start
- Page Assist docs - https://github.com/n4ze3m/page-assist/tree/main/docs
