Discovered an open-source browser automation tool with a

Used jev-browser, an open-source automation tool that calls Jev for page decisions instead of sending full HTML to multimodal models.
The original post, translated
Discovered an open-source browser automation tool with a very clean approach and extreme cost savings: jev-browser. Anyone who has used Browser Use or web-based AI Agents knows the pain: if every step is thrown to a multimodal large model to read long HTML or render large screenshots, not only is inference slow, but after a few interactions the cost heads toward several tenths of a yuan or even several yuan. jev-browser
Show the original post in its source language ▾
发现了一个思路非常清爽且极致省钱的开源浏览器自动化工具:jev-browser。 玩过 Browser Use 或网页端 AI Agent 的人都深有体会:如果每一步都丢给多模态大模型读长 HTML 或渲染大截图,不仅推理速度慢,几步交互下来成本就奔着几毛甚至几块钱去了。 jev-browser
The post above is a machine translation from zh; the untranslated text is in the fold-out.
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under websites & web apps, agents & workflows, browser & computer use. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the websites & web apps page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post