Jev in production › Agent tool and action selection

CloakBrowser Agent

Jev picks the next browser automation step, click or fill action, with a probability score, in about 0.3s (CloakHQ).

Open on GitHub ↗

0.3smeasured, as published by the source
Use
Agent tool and action selection
Industry
Developer tools
Form
Open-source tool
Stage
In production
Listed
2026-10-01
Found via
github
Repository
CloakHQ/CloakBrowser-Agent
Stars
3
Forks
0
Last push
2026-10-09
Language
Python
License
MIT

The README opens with

Give it a goal in plain language. TypeSafe Jev decides every step in ~0.3 s, CloakBrowser carries it out like a human, and you get the result back as markdown.

It works as an MCP server (Claude Code, Cursor, Claude Desktop, any MCP client), a CLI, or a Python library. It runs on CloakBrowser, a stealth Chromium with human-like mouse and keyboard input.

Most browser agents ask a large language model to write the next action, which costs seconds per step. Jev is TypeSafe's first System One model. It doesn't generate text: you give it the current state plus typed questions, and it returns an answer with calibrated probabilities. A browser step is exactly that kind of question: which of these controls, doing what?

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For the project's own README, linking back here:

Listed in Jev in production

Also used for agent tool and action selection