Currently AI browser agents send screenshots to the model. Each screenshot costs thousands of tokens. Over a multi-step task, that means high latency and high API cost.
This package takes a different approach: it renders pages as ASCII wireframes with numbered elements. The agent sees [12]Sign Up instead of a 1280x720 image. Same information, far fewer tokens.
It started as a way to make my own agents cheaper to run. Then I build a package around it. Fully open source and open to feedbacks!
Where do you see the biggest savings in token usage? Is it for when something is predominantly image heavy?
If someone is already using a Playwright-based MCP server (or a screenshot/vision-based computer-use setup), what’s the specific breaking point that typically makes them switch to Agent Browser, and what do they usually have to give up—if anything—in return for the token savings?
Ascii wireframes are a cool idea maybe a small visual preview option could help too.
Great idea, best of luck with the launch :) looks very 1984 hacker vibe :) I love it and the practical applications seem very real especially for scraping etc
Ahmet Hüseyin Dok