Browser UseUpdates, insights, and news from the team.
A statistically rigorous benchmark comparing the speed, cost, and accuracy of top frontier models for browser automation.
How Frigade uses Browser Use to build AI-powered onboarding that understands any product.
How we built Browser Use to stay undetectable
We compiled our learnings from AI browser agent evaluations into an open-source benchmark for model comparison.
How Browser Use and Parallel AI are building the future of web search together.
All the value is in the RL'd model, not your 10,000 lines of abstractions.
One year after our first commit, we reflect on how far browser agents have come—and where they need to go next.
Matching state-of-the-art accuracy is table stakes. We built BU 1.0 to be the fastest browser agent while maintaining the same performance.
We built a special LLM gateway that reduces the latency by 6x while keeping the same performance. The agents can now take 20 steps per minute. How many can a human do?
Introducing: Stealth and native browser use infrastructure built directly into the library. Want to bypass Cloudflare, or any other anti-bot protection? It's never been easier 👀
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How a weekend project turned into the largest open-source browser automation framework—and why we're just getting started.
Browser Use achieves state-of-the-art performance on the WebVoyager benchmark with an 89.1% success rate.