Warp: Computer Use for Agents in Sandboxed Desktops
WarpWarp added Computer Use, an experimental capability that allows cloud agents to interact with full desktop environments inside isolated sandboxes — taking screenshots, clicking, typing, and navigating GUIs autonomously. Running exclusively in Warp's Docker-based cloud infrastructure (not on local machines), Computer Use enables agents to perform end-to-end UI testing, validate design mockups visually, and test browser-based interactions without any human involvement.
Sources & Mentions
3 external resources covering this update
Agents That Can See and Click
With the February 10, 2026 release, Warp introduced Computer Use — an experimental capability that gives cloud agents the ability to interact with graphical desktop environments inside fully isolated sandbox containers. The agent can take screenshots of what is displayed on screen, move and click the mouse, drag elements, type text, and use keyboard shortcuts, all within a sandboxed cloud environment that has no access to a developer's local machine.
This is a meaningful extension of what an AI coding agent can do. Previously, agents could write, edit, and run code — but they could not verify their own results visually. Computer Use closes that loop.
How It Works
Computer Use operates exclusively in Warp's cloud-hosted environments, not in local interactive terminal sessions. The sandbox is containerized, meaning any GUI applications must be pre-installed in the environment configuration before agents can interact with them. This also means the sandbox is completely isolated from local credentials, file systems, and sensitive data.
The feature currently uses Claude Opus 4.6 as the underlying model, with support for additional model choices planned for future releases. Developers can enable it via:
- Warp app settings: Settings > AI > Experimental > Computer use in Cloud Agents
- CLI flag:
--computer-useor--no-computer-use - API parameter:
computer_use_enabled: true - Web app: Configurable per run, scheduled agent, or integration
Primary Use Cases
Warp's documentation highlights UI testing as the flagship use case: an agent can build a feature, then visually verify that it renders correctly against a design mockup — all within a self-contained feedback loop. Specific use cases include:
- Visual regression testing after code changes
- Form interaction and submission validation
- Responsive design verification across screen sizes
- Browser-based application workflows
Security Considerations
Because Computer Use agents can interact with browsers and network resources, Warp recommends several safeguards: avoiding API keys and credentials in agent tasks, restricting internet access to allowlisted domains, requiring human confirmation before consequential actions, and regularly reviewing agent activity logs. The opt-in, disabled-by-default design reflects the heightened risk profile of granting agents GUI-level control.