Agent Browser

If your goal is to let an AI agent operate real websites reliably, especially with logged-in sessions, Agent Browser looks worth adopting; if you mainly need traditional end-to-end testing, it is not best understood as a direct Playwright/Puppeteer replacement. A better analogy from the available evidence is a browser control layer for agents, or a model-oriented bridge to browser protocols. Its core appeal in discussion is not generic testing, but exposing page elements in a structure that is easier for models to act on.

In practical use, several Zhihu writeups describe connecting to a real Chrome instance, reusing existing login state, reducing issues caused by headless detection, and using commands like open and eval to drive pages or combine with DevTools “Copy as fetch” for JSON extraction. The stronger “proof of usefulness” comes from hands-on tutorials and month-long usage posts, which support real usage in logged-in sites, web scraping, and internal workflow tasks. By contrast, directory listings, repost-style summaries, and hype posts are only “proof of attention,” not proof of stability or broad production readiness.