Desktop automation often treats the screen as an image and guesses where to click. The more useful shift here is to treat an app as a structured interface: agents can target named, actionable elements and verify what changed, while keeping the reasoning loop in the agent that called the tool.
What Sets It Apart
- Accessibility-first, not coordinate-first: Actions target elements exposed by the OS accessibility API. This avoids brittle screen-coordinate matching, but works only when an app publishes a usable accessibility tree.
- Observe, act, verify: Each snapshot assigns references tied to that particular UI state. When the interface changes, stale references are rejected, encouraging agents to inspect again rather than blindly replaying clicks.
- The caller stays in control: The CLI and C library provide desktop capabilities, not an embedded model or autonomous agent. Teams can connect them to their own orchestration and choose how to handle output and retries.
- Cross-platform, with real differences: macOS, Windows, and Linux are supported, though available input, window, and screenshot capabilities vary by operating system and session.
Who It’s For
Great fit if you’re building an agent that needs to operate native desktop software and can use structured accessibility data for reliable targeting. Look elsewhere for browser-page automation, apps with inaccessible interfaces, or a turnkey autonomous desktop agent; this tool supplies the control surface, not the model or workflow.
