Most browser agents send a screenshot to a large model at every step. The projects here read the page or accessibility tree deterministically, turn the possible actions into a list, and ask Jev to pick one. A generative model is only called when text actually needs to be typed.
The result is far fewer expensive model calls per task. The trade-off is that Jev can only choose among options your code puts in front of it.
browser-use/jev-ultrafast
Fast browser agent from Browser Use. Jev decides each step and which element to act on; a small model is called only when text needs to be typed. The authors report a full Google Flights search in about 7.1 seconds.
lahfir/agent-desktop
Desktop automation over OS accessibility trees. The feat/jev-desktop-loop branch uses Jev to choose which control to operate and which action to take.
awlevin/typesafe-computer-use
macOS computer use without sending screenshots to a large model. The screen is read deterministically and Jev picks the next action.
droidrun/mobile-jev
Phone automation from DroidRun. The demo sets up an Uber ride in about 21 seconds.
jkudish/jev-browser
Headless browser automation through an MCP server, CLI, or library. Jev picks one action per step.
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