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Windows-Use: an AI agent that interacts with Windows at GUI layer

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Re: Windows-Use: an AI agent that interacts with Windows at GUI layer

#4
Using the UIA tree as the currency for LLMs to reason over always made more sense to me than computer vision, screenshot based approaches. It’s true that not all software exposes itself correctly via UIA, but almost all the important stuff does. VS code is one notable exception (but you can turn on accessibility support in the settings)

Re: Windows-Use: an AI agent that interacts with Windows at GUI layer

#5
post #2

Very cool - does anyone know of an OSX equivalent? Preferably one that is similarly able to understand and interact with web page elements, in addition to app elements and system elements.

There are MCPs that work with the macOS Accessibility stack, like https://github.com/steipete/macos-automator-mcp, https://github.com/ashwwwin/automation-mcp, https://github.com/mediar-ai/MacosUseSDK, and https://github.com/baryhuang/mcp-remote-macos-use.

For web page elements, you could drive the browser via `do JavaScript` or use a dedicated browser MCP (Chrome DevTools MCP, Playwright MCP).

Re: Windows-Use: an AI agent that interacts with Windows at GUI layer

#6
post #4

Using the UIA tree as the currency for LLMs to reason over always made more sense to me than computer vision, screenshot based approaches. It’s true that not all software exposes itself correctly via UIA, but almost all the important stuff does. VS code is one notable exception (but you can turn on accessibility support in the settings)

[deleted]

Re: Windows-Use: an AI agent that interacts with Windows at GUI layer

#7
Looks awesome. I've attempted my own implementation, but I never got it to work particularly well. "Open Notepad and type Hello World" was a triumph for me. I landed on the UIA tree + annotated screenshot combination, too, but mine was too primitive, and I tried to use GPT which isn't as good at image tasks as Gemini as used here. Great job!

Re: Windows-Use: an AI agent that interacts with Windows at GUI layer

#8
post #4

Using the UIA tree as the currency for LLMs to reason over always made more sense to me than computer vision, screenshot based approaches. It’s true that not all software exposes itself correctly via UIA, but almost all the important stuff does. VS code is one notable exception (but you can turn on accessibility support in the settings)

Agreed. I've noticed ChatGPT when parsing screenshots writes out some Python code to parse it, and at least in the tests I've done (with things like, "what is the RGB value of the bullet points in the list" or similar) it ends up writing and rewriting the script five or so times and then gives up. I haven't tried others so I don't know if their approach is unique or not, but it definitely feels really fragile and slow to me
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