Best AI Desktop Apps: What Each One Is Actually For

"Best AI desktop app" has no single answer, because the category contains four different products wearing the same label. A chat client, a local model runner, a launcher extension, and a workspace are not competitors — they're different jobs, and picking the wrong one is the usual reason an install gets abandoned in a week.

The short version:

• Chat in a native window — Claude Desktop or the ChatGPT desktop app. Fastest to value, least differentiated from the website.
• Models running on your own machine — LM Studio if you want a GUI, Ollama if you want an API.
• AI inside your launcher — Raycast, if you already live in a launcher on Mac or Windows.
• A workspace that keeps what you build — a newer category, including Taku, aimed at people who keep re-prompting the same thing.

The rest of this covers what separates them, and the two questions that decide the pick.

Quick comparison

Native chat clients: the honest assessment

Claude Desktop and the ChatGPT desktop app are both good, and both are largely the website in a window. That's not a criticism — a window you can summon with a keyboard shortcut, that doesn't get lost in forty browser tabs, is a real productivity difference. It's just not a capability difference.

Where an actual gap opens is local tool access. Claude Desktop acts as a host for the Model Context Protocol, meaning it can connect to servers that read your files, query a database, or drive another application. That turns a chat window into something that can act on your machine, which the browser version can't do. We've written more on what Claude Desktop does that the website doesn't.

On the other side, the ChatGPT app's strengths are voice and image generation, where OpenAI's consumer feature set is broader. If image generation is part of your daily work, that's a genuine reason to pick it, and OpenAI's model documentation lists dedicated image and realtime models that have no direct Claude equivalent.

Google's Gemini also has a desktop presence now, and it's the strongest pick if your work already lives in Google Workspace.

Pick a chat client on which model you prefer and which ecosystem you're in. Don't expect the desktop version to unlock capability the web version lacks — with the MCP exception above.

Local model runners: LM Studio vs Ollama

These run language models entirely on your hardware. No API bills, nothing leaving your machine, and they work on a plane.

LM Studio is GUI-first. You browse a catalog, download a model, and chat with it in a window. Nothing about it requires a terminal, which makes it the right recommendation for anyone whose goal is "try a local model and see if it's good enough."

Ollama is the opposite shape. It's a command to pull a model and a local API to serve it — and that API is OpenAI-compatible, so a lot of apps built for a cloud provider work against Ollama by changing one URL. That compatibility is why Ollama shows up as the backend in so many other tools.

Open WebUI and Jan both put a full chat interface in front of local models, with Jan shipping as a normal desktop app and Open WebUI running as a local server you open in a browser.

The honest constraint on all of them is hardware. Local models are meaningfully behind frontier cloud models at the same task, and the gap widens as the task gets harder. Our guide to running AI models locally covers what fits in what amount of memory, and the direct LM Studio and Ollama comparison covers the choice between those two specifically.

Launcher AI: Raycast

Raycast is the launcher that replaced Spotlight for a lot of people, and its AI features live inside that same keystroke. You hit a shortcut, type a prompt, get an answer, and the window disappears.

The reason this works better than it sounds is friction. A separate chat app means switching context; a launcher means the prompt happens where you already are. For short questions, rewrites, and quick transformations, that difference decides whether you actually use AI during the day or just intend to.

It started as a Mac-only tool, which is still how most write-ups describe it, but Raycast for Windows has since shipped and installs from the Microsoft Store or WinGet. Either way it's a complement rather than a replacement — you'll still want something else for long work.

Workspaces: the newest shape

The fourth category exists because of a specific failure mode. You have a good session with an AI assistant, solve something real, and then next week you start from scratch and re-explain everything. Nothing accumulated.

Workspace apps try to fix that by making the thing you built the unit, rather than the conversation. You run an app or workflow, adjust it, save it, and run it again later against different inputs.

Taku sits here. The specific loop is mirroring an AI app, agent, skill, or workflow someone already got working, running it in your own desktop workspace, and remixing it for your files — so you start from a proven setup instead of a blank prompt. The free app library is where most people start. Taku is in Beta, and the Mac app is available now.

This is a young category and worth judging on whether the loop matches how you actually work, not on the pitch.

The two questions that decide it

Does your data need to stay on your machine? If yes, the answer is a local runner, and the capability ceiling comes down accordingly. If no, that constraint is off the table and you're choosing on quality and features.

Are you having conversations, or building things you'll reuse? Conversations point at a chat client. Reuse points at a workspace — and if the same prompt is going into a chat window every Monday, that's the signal.

Everything else — which app has a nicer window, which has the better keyboard shortcut — is preference. These two questions are the ones that determine whether the app is still open in a month.

Key points

• The category splits into four jobs: chat, local models, launcher AI, and workspaces. Match the job first.
• Desktop chat clients are mostly the website in a window. The real exception is MCP support, which gives local tool access the browser can't.
• LM Studio is the GUI route to local models; Ollama is the API route, and its OpenAI-compatible endpoint is why other apps build on it.
• Local models trade capability for privacy and cost. That trade gets worse as tasks get harder.
• Raycast is a complement, not a replacement — it wins on friction for short tasks, and it's no longer Mac-only.
• Workspaces are worth a look if you keep re-prompting the same thing and nothing accumulates.

FAQ

What's the best free AI desktop app?

For local models, LM Studio, Ollama, and Jan are free to use, with the cost moving to your hardware. The Claude and ChatGPT desktop apps are free to install, and how much you can do without paying depends on each provider's current terms — check those directly rather than an article, since they move.

Do AI desktop apps work offline?

Only the local model runners. Chat clients for Claude, ChatGPT, and Gemini all call a remote API and stop working without a connection.

Is a desktop AI app better than the website?

For most chat use, the difference is convenience rather than capability. The exception is MCP support in apps like Claude Desktop, which lets the assistant reach tools and files on your machine.

What do I need to run AI models locally?

Roughly 16 GB of RAM for a small quantized model and 32 GB to be comfortable, with a GPU helping a lot on speed. Model size and quantization level are what decide it.

Can one app do all four jobs?

Not well. Some try, and the result is usually strong at one and mediocre at the others. Two apps that each do one job well is a better setup than one that does everything approximately.

Which AI desktop apps run on Windows and Linux?

Claude Desktop is stable on Mac and Windows, with a Linux beta limited to Ubuntu 22.04+ and Debian 12+. The ChatGPT desktop app covers Mac and Windows, with a Linux build in public preview on a short list of Ubuntu, Debian, and Fedora releases. LM Studio, Ollama, and Open WebUI are cross-platform. Raycast runs on Mac and Windows. Taku is in Beta, and the Mac app is available now; its Windows build is an early experimental preview, and there is no Linux or Intel Mac build.