Softonic ran a piece on Anthropic’s Claude Cowork this week, covering its arrival on mobile and web and what it can do. The broader story worth telling is that computer-use agents, the kind that observe the screen and drive the mouse and keyboard on your behalf, went from a research demo to something people actually keep running on a desktop this year. Browser Use crossed 50k GitHub stars, Open Interpreter landed a proper desktop client, and every major model vendor now ships a computer-use API. We tested the seven best AI computer-use agent apps for desktop in 2026.
Every pick here runs on Windows, macOS, or Linux. Five are open-source. Two are commercial or hosted with a client that runs on your machine. We cover the ones that drive the entire desktop and the browser-focused subset separately, because the safety and reliability characteristics differ.
What to look for in a computer-use agent app
- A clear scope. Desktop-wide agents that read every window are powerful and risky. Browser-only agents are narrower and easier to reason about.
- Human-in-the-loop by default. The first click of every session should require confirmation. Turning that off is a choice, not the default.
- Recorded traces. When the agent misclicks, you need to see what it saw and why it acted. Screenshot logs matter.
- Sandboxing story. The best agents pair with a container or VM sandbox so a mistake stays local (see our AI coding agent sandboxing article for the details).
- Multi-model support. Claude computer-use, GPT-5 vision, and Gemini all have different strengths. Locked-in agents lose the freedom to switch.
Quick comparison
| App | Best for | Scope | Free plan | Model providers |
|---|---|---|---|---|
| Open Interpreter | Local desktop control | Full desktop and shell | Yes | Any OpenAI-compatible or local |
| Claude Computer Use | Anthropic-first, production-grade | Full desktop | API tokens | Claude only |
| Cua | Open framework for local agents | Full desktop | Yes | Any |
| Browser Use | Browser automation | Browser only | Yes | Any |
| Skyvern | Web workflow automation | Browser only | Free tier | Any |
| Agent-S (Simular) | Research-grade GUI planner | Full desktop | Yes | Any |
| UI-TARS | Small vision model tuned for GUIs | Full desktop | Yes | Bundled |
The 7 best AI computer-use agent apps for desktop
1. Open Interpreter, local desktop control that runs code first
Open Interpreter takes a slightly different approach than pure computer-use agents. Where GUI agents click their way through interfaces, Open Interpreter prefers to write and run code, which is often faster and more reliable. When code is not enough, its 2026 releases added a Desktop Agent mode that observes the screen and drives the OS. It works with Claude, GPT-5, Gemini, and any local model via Ollama.
Where it falls short: Code-first means an aggressive agent can rm real files. Pair with a sandbox.
Pricing: Free, MIT.
Platforms: Windows, macOS, Linux.
Download: openinterpreter.com · GitHub
Bottom line: The default local pick when you want an agent that can do a broad range of things on your machine.
2. Claude Computer Use, Anthropic's production-grade agent
Claude Computer Use is Anthropic’s own implementation of an agent that reads the screen and drives inputs. It ships as an API rather than an app, but Anthropic provides a reference client that runs on desktop. On complex GUI tasks, Claude’s computer-use model still leads the public benchmarks. Cowork ties this into a workspace concept that spans mobile and web.
Where it falls short: Locked to Claude. API costs add up on long sessions. The reference client is a starting point, not a polished consumer app.
Pricing:
- Free: Anthropic API credits on signup
- Paid: usage-based via API
Platforms: Windows, macOS, Linux via the reference client.
Download: anthropic.com/computer-use
Bottom line: The pick when accuracy on complex GUIs matters more than being model-agnostic.
3. Cua, open framework for local computer-use agents
Cua is an open-source framework for building and running computer-use agents on desktop. It bundles a sandboxed OS environment, a vision-plus-reasoning loop, and adapters for popular models. If you want to write your own agent that runs in isolation, Cua provides the runtime instead of you rolling one from scratch.
Where it falls short: Framework, not a product. Requires code to get past the demos.
Pricing: Free, open-source.
Platforms: Windows, macOS, Linux; sandbox uses containers or a Lima VM.
Download: github.com/trycua/cua
Bottom line: The pick if you are building your own agent and want a runtime that handles the isolation for you.
4. Browser Use, the browser-automation heavyweight
Browser Use crossed 50k GitHub stars in early 2026 and became the default answer to “how do I make an LLM drive a browser”. It uses Playwright as the browser engine, exposes a small Python API, and integrates with Claude, GPT-5, Gemini, and open-source models. The scope is deliberately narrower than a full desktop agent, which makes it easier to reason about and safer to run at scale.
Where it falls short: Browser-only. Anything that needs a native app is out of scope.
Pricing: Free, MIT.
Platforms: Windows, macOS, Linux; runs from Python.
Download: github.com/browser-use/browser-use
Bottom line: The pick when the task is web-only. Most agent tasks that people actually run fall in this category.
5. Skyvern, web workflow automation that reads the DOM and the pixels
Skyvern is a browser agent aimed at workflows: fill this form, click this button, download this file. It combines DOM parsing with visual perception, which handles pages that render most of the interactive content in a canvas or WebGL. On enterprise portals with heavy JavaScript, Skyvern often works where a pure Playwright script fails.
Where it falls short: Browser only. Best on the same handful of workflows you run repeatedly, not one-off exploration.
Pricing:
- Free: open-source runtime
- Paid: managed hosting from a monthly tier
Platforms: Windows, macOS, Linux; open-source runtime plus hosted option.
Download: skyvern.com · GitHub
Bottom line: The pick when the workflow is repeatable and the page is heavy JavaScript.
6. Agent-S by Simular, research-grade GUI planner
Agent-S by Simular AI is the research-grade agent framework used in a lot of 2026’s computer-use benchmarks. It separates high-level planning from low-level GUI action, which reads better on unfamiliar interfaces than a single model doing both. The desktop client integrates with popular vision-language models and runs on all three major OSes.
Where it falls short: Research posture. Reliability outside the benchmark suite requires prompt and workflow tuning.
Pricing: Free, open-source.
Platforms: Windows, macOS, Linux.
Download: github.com/simular-ai/Agent-S
Bottom line: The pick if you want to see the planning and action layers separately, either for research or for careful production use.
7. UI-TARS, small model tuned for GUI action
UI-TARS by ByteDance is a compact vision model trained specifically for GUI-driven tasks. Instead of piping a general-purpose model into an agent loop, UI-TARS ships the model itself with a client that reads the screen and clicks. Latency is lower and accuracy on standard GUI benchmarks is competitive with larger frontier models.
Where it falls short: Single-provider stack. The specialised model is the point but also constrains flexibility.
Pricing: Free for research; commercial terms vary.
Platforms: Windows, macOS, Linux.
Download: github.com/bytedance/UI-TARS
Bottom line: The pick when latency matters and the tasks are visual-first (spreadsheets, form filling, dashboards).
How to pick the right one
- If you want one agent that can do a broad range of desktop tasks: Open Interpreter with a sandbox.
- If accuracy on complex apps beats everything else: Claude Computer Use.
- If you are building your own agent: Cua for the runtime, Agent-S for the planning research.
- If the task is browser-only and general: Browser Use.
- If the task is a repeated web workflow: Skyvern.
- If latency matters and the task is visual: UI-TARS.
Never point any of these at a machine holding uncommitted work you cannot afford to lose. Run inside a sandbox, keep the human confirmation on for the first few sessions, and read the trace when the agent surprises you.
FAQ
What is the best open-source computer-use agent? Open Interpreter for general local control, Browser Use for browser tasks, Cua and Agent-S for framework-level work.
Does Claude Cowork run on desktop? Cowork itself is currently a mobile and web experience. On desktop, the same underlying computer-use model is available via the Anthropic API and reference clients.
Are these agents safe to run on my main machine? Only with a sandbox and human confirmation for high-risk actions. See our sandboxing article for the container and VM options.
Which agent supports the newest AI PC NPUs? UI-TARS and other small specialised models run well on modern NPUs. Frontier-model agents (Claude, GPT-5) run their models in the cloud regardless of your NPU.
Can I automate a form-filling job with these? Yes. Skyvern and Browser Use are both designed for that class of work. Open Interpreter can do it too, but it is heavier than the browser-specific tools.
