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Ying-Kai-Liao
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Ying-Kai-Liao/jev-browser

Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.

JavaScript ◇ browser-automation MIT
★90STARS
⑂13FORKS
!4ISSUES
🏆#6,974GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for Ying-Kai-Liao/jev-browser
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#524

MOST-STARRED JavaScript

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

jev-browser gained 10 stars in the last 30 days, about 1 a day, and now has 90. It is about 1 year old and has averaged roughly 90 stars a year. It ranks #524 among JavaScript repositories and #6,974 across all languages on GitHubRepo.

Trending Record

jev-browser has maintained a continuous presence across global trending indexes, peaking at #478. Below is the 30-day activity profile:

💡 Overview

jev-browser is an open-source project written in JavaScript: Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.

Engineered for speed, consistency, and developer ease, it solves common hurdles in browser-automation, llm-agents, mcp. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in JavaScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install jev-browser

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18 or modern Evergreen browser

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

jev-browser coordinates its core functionality through a modular JavaScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with jev-browser.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install jev-browser using your package manager: `npm install jev-browser`

2

Initialize your project workspace or configuration file for jev-browser.

3

Import jev-browser into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `jev-browser --help` to verify successful setup.

👍 Strengths

Active community backing with 83 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in JavaScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with JavaScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with JavaScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

Ying-Kai-Liao/jev-browser is currently ranked #6,974 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,967 robins/pdfcrack C ★ 91 Compare ↗
#6,967 bsab/italia-mcp-servers Python ★ 91 Compare ↗
#6,967 sangelege/forestfix Python ★ 91 Compare ↗
#6,967 JkingYu/DiffExplorer Python ★ 91 Compare ↗
#6,967 krmisystems/fantasy-football-manager Python ★ 91 Compare ↗
#6,974 Ying-Kai-Liao/jev-browser This Project JavaScript ★ 90
#6,974 mbbx6spp/twitter4r Ruby ★ 90 Compare ↗
#6,974 aliter/aliter Erlang ★ 90 Compare ↗
#6,974 sunlightlabs/django-gatekeeper Python ★ 90 Compare ↗
#6,974 brettstimmerman/jabber-bot Ruby ★ 90 Compare ↗
#6,974 hhdebb/herdr-radar JavaScript ★ 90 Compare ↗

Frequently Asked Questions

What does jev-browser do? +

Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.

What language is jev-browser written in? +

The primary language is JavaScript. Topics include: browser-automation, llm-agents, mcp, mcp-server, playwright.

Is jev-browser actively maintained? +

Yes, the last recorded push was on Sep 22, 2026 with 4 open issues being tracked.

How many stars does jev-browser have? +

jev-browser has 90 stars and 13 forks on GitHub.

How does jev-browser rank among GitHub repositories? +

With 90 stars, Ying-Kai-Liao/jev-browser is ranked #6,974 globally across all repositories tracked on GitHubRepo and #524 among JavaScript projects.

What license is jev-browser distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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