The screen has become an interface for software agents. Models from Anthropic, OpenAI and Google now operate software through a screen, reading screenshots, moving the mouse and typing the way a person does, so the apps that never shipped an API are finally open to automation.
That shift splits every computer use agent into two parts: the model that decides what to click, and the computer it clicks on. The best computer use agents in 2026 are Claude computer use for mixed desktop and browser work, OpenAI's computer use tool for teams on the Responses API, Gemini 2.5 Computer Use for browser-heavy jobs and UI-TARS Desktop for an open-source stack. This guide covers what each one is good at, what these agents automate today, and what they need underneath to run reliably.
Why Do Computer Use Agents Matter Now?
Desktop automation used to mean robotic process automation: scripts that replay fixed clicks and break the day a button moves. The other option was an API integration, which only covers what a vendor chose to expose.
A computer use agent works from a goal instead of a script. It looks at the screen, picks the next action, checks the result and recovers when something unexpected appears. Researchers measure this on real desktop and web apps with benchmarks such as OSWorld, and the model labs now report against them with each release.
What changed for engineering teams is where the hard part sits. The model is something you can swap with one line of config; the environment is not. OpenAI tells developers that their application owns the session, permissions and cleanup, and that the agent belongs in an isolated browser or VM. Most computer use agents break in production on that layer: a container that loses its login on restart, a screenshot loop written by hand, a VM nobody can watch.
Which Computer Use Agents Are Best in 2026?
The right model depends on where the work happens: desktop apps, the browser, or both. These are the agents worth testing first:
Claude computer use. Anthropic's computer use toolset gives Claude 17 member tools such as screenshot, left_click, type and zoom, and your application runs every call in an environment you control. It handles work that crosses desktop apps and the browser, which makes it a strong default when one agent moves between a spreadsheet, a terminal and a web app. The trade-off is the environment: Anthropic recommends a dedicated virtual machine or container with minimal privileges, so you build and host that desktop yourself.
OpenAI computer use. OpenAI's computer use tool returns structured actions from a fixed set (click, double click, drag, move, scroll, keypress, type, wait and screenshot), or lets the model write Playwright or PyAutoGUI code that your environment runs. It suits teams already on the Responses API, and OpenAI recommends the code path for its newest models because one call can batch many actions. The trade-off is state: continuing a response does not restore a browser session or a login, so the machine has to stay alive between calls.
Gemini Computer Use. Google built its computer use model for browsers first, with early promise on mobile, and says it is not yet optimized for desktop OS-level control. Pick it when the job lives in web forms, dashboards and multi-page flows.
UI-TARS Desktop. ByteDance's open-source agent stack ships the model weights, a desktop app and a CLI in the open. It fits teams that want to host the model themselves, at the cost of more setup, because you run the model endpoint as well as the computer.
ChatGPT agent. OpenAI's consumer agent works on its own virtual computer inside ChatGPT. It is the quickest way for a person to hand off a task, but it is a product to use, not a platform to build your own agent on.
Whichever model you choose, the computer underneath is yours to provide. That choice decides whether the agent runs once on a laptop or every day in production.
What Can a Computer Use Agent Automate?
The best jobs for computer use are the ones a person does today by looking at a screen, because no API covers them. These are the jobs teams hand over first:
Back-office apps with no API. The agent opens a legacy accounting client or an internal admin tool, enters the record and reads the saved result back. Work that waited for an operator moves into a queue that runs overnight.
Spreadsheet and document work. It opens a file in a desktop office app, corrects values, saves a new copy and reopens it to verify the change. The agent checks its own output instead of reporting success on faith.
Portals behind a login. It signs in to supplier, insurance or filing portals, updates a record and confirms the change. These sites rarely offer an API, and they change their layout often enough to break scripts.
Signup and checkout testing. It walks through a signup or checkout the way a new customer would and reports where it got stuck. A layout change that breaks a scripted test is just a new screen to an agent.
Cross-app reporting. It pulls figures from one application, writes them into another and files the report. The copy-and-paste work between tools disappears from someone's week.
All five jobs need a real computer with a real screen, kept alive between steps, and a way for a person to see what the agent did. That is the problem Solari was built to solve.
What Role Does Solari Play?
Solari is the computer a computer use agent runs on: cloud browsers, sandboxes and desktops from one API. You bring the model from any lab; Solari gives it a screen, a keyboard and a place to keep its work.
A full desktop in about a second. A Solari desktop is a full Linux computer with a graphical screen, and it starts usually in about a second. Your agent gets mouse and keyboard input, screenshots, a shell, files, the clipboard and app launching from one SDK, so the action loop every model's docs ask you to build takes a few calls.
Mouse movement that looks human. Pass
humanize: trueon a Solari mouse action for a natural, curved mouse path instead of an instant jump. That helps on sites that watch how the pointer moves, and it works the same for any model you plug in.Watch it live and take over. Every Solari desktop comes with a live view you can watch and control, so a person can step in at a confirmation screen or a tricky login. For browser sessions, record the session and replay it later to see exactly what the agent saw.
Pause between steps. Pause a desktop and its state is saved; the next connect picks up right where the agent stopped, and a paused desktop does not count against your running limit. Same-host resume takes about 1.3 seconds on staging, five trials, so an agent can wait hours for an approval without holding a machine.
Browsers when the job is only the web. Solari browsers are ready in 8 ms, and at Solari's top tier you can run up to 100,000 concurrent browsers. A Solari profile saves cookies and site data, so your agent signs in once and every later run opens already signed in.
Some steps need code, not a screen. Solari sandboxes run the scripts that parse a download or score a result, on the same account and the same bill as your desktops. Solari sandboxes are also almost 3x cheaper than E2B per sandbox hour.
Where Are Computer Use Agents Going Next?
Today most computer use agents handle one task on one screen. Over the next year that changes in four ways:
Code over clicks: models will write short programs that drive the screen instead of returning one click at a time. Fewer round trips make agents faster and cheaper to run.
Agents that wait well: long jobs will pause for a person or a slow system and resume hours later on the same machine. Pause and resume becomes as basic as start and stop.
Approval built in: screen content can carry prompt injection, so agents will ask before they change anything that matters. Live views and recordings become the audit trail.
Fleets, not one desktop: teams will run hundreds of desktops in parallel the way they run browsers today, one per account, customer or test case.
What stays human is judgment: which tasks are safe to hand over, what counts as done, and the call when the agent stops and asks. The teams that win will spend their people on that and give the clicking to agents.
Get Started With Solari
Start with one job that lives behind a screen, such as a weekly report built in a desktop app, and run it on one Solari desktop with the live view open before you scale out. Solari is the fastest and cheapest way to run cloud browsers and VMs for computer use agents. Get started with a free account and start running your agents today.
