Page Agent runs inside the webpage as plain JavaScript instead of driving a browser from an external process. It reads the live DOM as text, so there is no need for screenshots, headless browsers or multimodal models. Because the agent works in the same session as the user it inherits cookies, authentication and any existing UI validation, keeping security rules intact.
The core idea is DOM dehydration. When a command arrives the agent scans the Document Object Model, extracts every interactive element such as buttons, links and inputs and assigns each an index, a role and a label. The live DOM is then turned into a compact text map called FlatDomTree. Redundant markup is stripped away, leaving only what the model needs to act on. This keeps the payload small enough for strong text models to process quickly and cheaply.
Page Agent is model‑agnostic. You connect any OpenAI‑compatible endpoint and send only text to the model. The library itself is open source under the MIT license and is written in TypeScript, building on the DOM processing and prompts from browser-use.
There are clear limits to keep in mind. The agent works at prompt level and is confined to a single page, so risky actions still need server‑side validation. It is best suited for copilots and form‑filling inside applications you own or control, rather than trying to automate external or locked‑down sites where you cannot inject the script.
For teams looking to add natural‑language control to their own web apps, Page Agent offers a lightweight, transparent way to turn user commands into real UI interactions without the overhead of traditional browser automation tools.
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