jev-ultrafast: Fastest and cheapest web agent

by browser-use · Agent Tool · ★ 24.2k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: TypeSafe Jev

How to install jev-ultrafast

git clone https://github.com/browser-use/jev-ultrafast.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

🧪 Tested by Agent Skills Hub

One of 11 tools we ran end to end on the same task for our TypeSafe Jev page (2026-10-11).

Result: its quick start did not run on a Jev key alone · Needs a second paid key: Jev picked the first action, then the agent stopped for want of a text-model key (TEXT_MODEL_API_KEY). · 3 steps beyond the README · 86 s to install and run

See the first run → · See the whole test →

Quick Facts

Stars24,164
Forks1,855
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score61/100
Open Issues211
Last Updated2026-11-03
Created2026-09-16
Platformsbrowser, python
Est. Tokens~15k

About jev-ultrafast

Jev Ultrafast ⚡ A browser agent with a dynamic, indexed action space. Give it one goal. TypeSafe's Jev picks an operation and an element. A small LLM writes text only when the operation is . Zürich → London on Google Flights in 7.1 seconds. One natural-language goal, actual text generation, and loading waits included.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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