Skip to content
JevDirectory.org
CommunityTools & Integrations8 starsVerified 2026-09-22

Jev Agent Browser

Delegated browser execution for parent agents: Jev picks one bounded typed action from the current page snapshot, agent-browser performs it, and ambiguous or stuck flows escalate back to the parent.

Category
Tools & Integrations
Published by
Community
Author
forvela
Added
2026-09-22
Tagscommunityjavascriptbrowseragentsopenrouter

Highlights

  • Jev chooses from a small validated action set, so the browser never runs model-generated code.
  • Built on agent-browser with CDP attach, auto-connect, sessions, pinning, and native browser options preserved.
  • Browser work is sequential and bounded by --max-steps, and stale refs, repeated actions, and stuck states stop safely.
  • Loads ~/.config/jev/config.json for endpoint, apiKeyEnv, pacing, and maxSteps, and keeps secrets out of decision state.
  • A 17-second read-only walkthrough is recorded: Tasks, Text Classification, Most downloads, PyTorch, and ProsusAI/finbert.

Quickstart

bash
npm install -g agent-browser
npm install -g jev-agent-browser
export TYPESAFE_API_KEY=YOUR_API_KEY
jev --url https://huggingface.co/models --goal 'Open Tasks and select Text Classification' --max-steps 6

Watch out

MIT-licensed; requires Node.js and the external agent-browser peer tool plus a TypeSafe or OpenRouter key, and classification requests send bounded page observations to the decisions API.

More like this

71GitHub stars
Unofficial browser automation where the calling LLM states the outcome and Jev decides each element, action, and value from a Playwright page snapshot. Ships as a library, CLI, and MCP server.
Tools & Integrations#community#javascript#browser
Communityjev-browser
17.5kGitHub stars
Browser Use's ultrafast agent: Jev picks an operation and an element from an indexed action space in one request, and a small LLM writes text only when the action is TYPE_TEXT.
Tools & Integrations#community#python#browser
Communityjev-ultrafast
354GitHub stars
A Codex skill (with a plugin option) that hands clicks, toggles, navigation, and scrolling to Jev over accessibility text while Codex types, interprets visuals, and verifies the outcome.
Tools & Integrations#community#javascript#skills
Back to all resources

From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

A playable 16-judgment demo

AI multiple choice, not essay writing

Screening agent actions with Jev

Tested TypeSafe’s Jev (no-text, probability-only model) as an AI agent safety monitor. Checking each action first worked well caught most attacks with almost no false blocks, and much faster than Gemini.

Image
Image
Image
Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

Reply

Cua's small System One models

A 706K-parameter form filler

cua open sourced a 706k param model that fills a whole form in one 50ms pass the llm agent doing the same form took 23 turns and 39.6 seconds the specialists are going to eat the generalists from the bottom

Cua
Cua
@trycua

1/ Introducing CUA-S1: a family of System One Models, small, specialized, and built for computer use. Today we're open-sourcing CUA-S1-FORMS, the first in the family: github.com/trycua/cua

Image
Reply

Navigating Neo4j with Jev

Jev 这个 waitlist 还是很给力的,昨天申请,今天就能用上。 给已经拿到 API、但还不知道怎么玩的人整理了一份 Awesome Jev,目前我能确认到的 Jev 项目基本都在这里: 1. jev-ultrafast Browser Use 做的高速浏览器 Agent。Jev Show more

Image
思维怪怪
思维怪怪
@0xLogicrw

前 OpenAI 研究员 Diogo Almeida 创办的 TypeSafe AI 推出新模型 Jev。它有点像一个能读懂自然语言的超级分类器,不生成文本,只返回选项、分数和概率,专门给软件做判断。 普通大模型需要一个 token 一个 token 往外生成,Jev 则可以并行给出多个结果。TypeSafe 还用新的 RLCD

Reply