Browser Use, the open-source Python library that lets AI agents control a real browser, just crossed a milestone that few open-source AI projects reach this fast: it's closing in on 100,000 GitHub stars. And the team isn't celebrating with a blog post or a changelog. They're promising something bigger: a totally new version of the library.
From zero to nearly 100k, faster than almost anyone
The project reached over 60,000 GitHub stars in just a few months, and the team secured over $17 million in seed funding. Since then the momentum hasn't stopped. The repo now sits at 78,000+ stars, is trusted by Fortune 500 companies, and bills itself as the #1 open-source browser automation platform. The GitHub releases page currently shows 86,400 stars, putting the 100k milestone well within sight.
For context, this is a library that didn't exist two years ago. Most production-grade developer tools take years to reach that kind of community size. Browser Use did it by solving a problem that suddenly became very real: how do you give an LLM a browser it can actually use?
What Browser Use actually does
Browser Use is an open-source Python project that makes websites accessible to AI agents. It identifies all interactive elements on a webpage, enabling agents to perform meaningful interactions with them. In short, the library allows AI to control and interact with your browser programmatically.
It combines advanced AI with robust browser automation to simplify web interactions for AI agents, integrating visual understanding and HTML structure extraction for more effective navigation and decision-making. Under the hood, the library combines visual input with AI control to automate browsers via Playwright.
The basic usage is minimal:
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