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What is agent-browser?

Agent-browser is a command-line tool designed for automating browser tasks specifically for AI agents, offering a concise text output that retains context and is exclusively developed in Rust. Its agent-first approach emphasizes brevity in output, minimizing token consumption during automation processes in contrast to more verbose JSON formats. The snapshot command facilitates an accessibility tree with unique references for each interactive element, allowing agents to select items effectively without relying on ongoing DOM queries. With a repertoire of over 50 commands, it covers a wide range of functionalities, including navigation, form management, screenshot capturing, network monitoring, storage handling, and interactions with tabs, frames, and debugging utilities. Additionally, the built-in observability features encompass video recording, streaming, debugging, profiling, and page comparison, providing comprehensive support for contemporary applications through capabilities such as network oversight and analysis of React and Web Vitals, as well as initialization scripts that integrate smoothly with Next.js and Vercel. This extensive array of features establishes agent-browser as an invaluable resource for developers engaged in AI-centric browser automation, enhancing their ability to streamline workflows and improve efficiency. Ultimately, the tool not only simplifies automation tasks but also empowers developers to create more sophisticated applications with ease.

What is Scalebrowser?

Scalebrowser offers a self-hosted framework specifically crafted for AI agents that need to execute real tasks. Each distinct profile ensures a consistent identity, including cookies, passkeys, memory, and assigned tasks, maintaining this continuity through system restarts or device changes. By leveraging a customized Chromium engine and genuine local GPU resources, it facilitates human-like interactions and adeptly manages challenges such as captchas, email and SMS verification codes, and TOTP. Furthermore, it provides browser-level prompt control, allowing agents to navigate obstacles that usually hinder conventional automation tools. Users have the flexibility to connect via multiple methods, including MCP, REST, Node.js, Python, or direct CDP, allowing for seamless integration. This exceptional functionality equips AI agents to operate effectively in environments that are typically resistant to automation efforts, enhancing their overall efficiency and adaptability. Moreover, the system's design ensures that it can evolve alongside user needs, making it a robust solution for various automation challenges.

Media

Media

No images available

Integrations Supported

Chrome DevTools
Next.js
Rust
Vercel

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

€19/month
Free Trial Offered?

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS
Windows

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Vercel Labs

Date Founded

2015

Company Location

United States

Company Website

agent-browser.dev/

Company Facts

Organization Name

Scalebrowser

Company Website

scalebrowser.net

Categories and Features

Agentic AI

Not specified

Browser Automation

Not specified

Categories and Features

Browser Automation

Not specified

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