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A Claude computer use alternative is any AI agent that can operate a computer directly — moving the mouse, typing, reading the screen, and working across desktop applications and websites — rather than only answering questions in a chat window. Alternatives differ along four axes: whether they run on the desktop or only in a browser, whether they are open source, which benchmarks they publish, and what a completed task actually costs. OSWorld 2.0, a 108-task benchmark of jobs that take a skilled human more than an hour, is currently the most common yardstick.
Most teams find out the hard way that their "AI assistant" is really a smarter chat box. It drafts the email but cannot send it, summarizes the dashboard but cannot update it, explains the workflow but never runs it. Anthropic's computer use tool changed that expectation — and then raised a new question: if an agent can drive a computer, which one drives it best, on which machines, and at what cost per finished task?
This guide compares the five alternatives teams shortlist most often in 2026, using published benchmark results rather than marketing claims.
To compare claude computer use alternatives fairly, we treat them like a new hire on your team and give each agent the same jobs a founder, agency, or sales leader would actually delegate.
We set up real workflows rather than toy demos, including:
For each tool, we score across key dimensions:
Finally, we distinguish between agents that genuinely operate the desktop (files, apps, GUI) versus those that only touch the browser or CLI, which is a critical line for non‑technical teams.
Sai is a computer use agent built by Simular that works on a real computer the way a person does: it opens desktop applications, navigates websites, calls APIs, and writes code, either on your own machine or on Simular's remote machine fleet.
On OSWorld 2.0 it scored 73.0%, ahead of Claude Opus 5 Max Thinking at 70.6% and GPT-5.6 Sol Max at 62.6% — and it did so at $15.70 per task, against $23.70 and $26.62 respectively. On the stricter binary success rate, Sai reaches 28.25%, versus 23.14% for GPT-5.6 Sol and 13.10% for Claude Opus 4.7. Details and the full task-by-task breakdown are in Sai tops OSWorld 2.0, beating GPT and Opus with lower costs.
Three design choices explain the unusual accuracy-to-cost ratio:
Sai's core is open: Agent S, Simular's open-source computer use agent framework, has 12,000+ GitHub stars. Simular is the company, Sai is the product, Agent S is the open-source framework — teams often start with one and move to the other.
Best for: teams that want long, revenue-critical tasks actually completed, with every step inspectable and a human approval path.
Trade-off: a desktop agent needs a machine (yours or hosted) — it is not a pure API drop-in.
Fellou rebuilds the browser around an agent: it can open tabs, read pages, fill forms and chain multi-site research without a human driving the pointer. For teams whose work genuinely lives inside the browser — sourcing, research, lead lists, competitive monitoring — this is the lowest-friction way to leave chat behind.
Best for: browser-native research and data-collection workflows.
Trade-off: it cannot leave the browser. Anything that touches a native application, a local file pipeline or a desktop tool is out of scope, and it has not published OSWorld 2.0 results.
Kuse comes from the opposite end of the spectrum: local-first, open, and deeply inspectable. It interacts directly with your local file system, supports multiple model providers (OpenAI, Anthropic, local models), and lets you bring your own keys for full control over model spend. Skills are extended over MCP, so developers can wire in custom tools.
Best for: engineering teams that want everything on their own hardware, with their own keys.
Trade-off: it is a builder's tool. Expect setup, and expect to write the integrations you need.
Agent S is an open-source framework for building agents that operate a real GUI — mouse, keyboard and screen — on macOS, Windows and Linux. You bring your own model; the framework handles perception, grounding, planning and execution. It is the most direct open-source answer to "is there an alternative to Claude computer use that I can host and audit myself?", and it currently ranks first on Google for open source computer use agent.
Best for: teams with self-hosting, procurement or auditability requirements, and researchers benchmarking their own models.
Trade-off: it is a framework, not a product. If you want the same capability without the setup, the hosted version is Sai.
Copilot is not a general desktop agent, and treating it as one leads to disappointment. It is assistance inside Microsoft 365 — drafting in Word, summarizing in Outlook, building formulas in Excel — with computer-use style automation available separately through Copilot Studio for teams already invested in the Microsoft stack.
Best for: organizations standardized on Microsoft 365 that want assistance where the work already happens.
Trade-off: it stays inside the suite, and it publishes no OSWorld results.
A wider survey of the category, updated as new agents ship, is in our roundup of computer use agent tools.