Huashu Design
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Browser automation CLI that allows AI agents to navigate pages, read content via accessibility trees, and interact with elements from the shell.
agent-browser is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip.
npm install -g agent-browser agent-browser install
Agent-browser is a native Rust command-line tool that lets AI agents drive a web browser. It returns pages as compact text with references for each element, allowing the agent to read the page, act on specific elements, and repeat the process to complete tasks.
It is for those building AI agents that need to perform browser automation.
npm install -g agent-browser agent-browser install
You interact with the browser one command at a time through your shell. The browser session stays open between commands.
agent-browser open example.com agent-browser snapshot -i agent-browser click @e1 agent-browser get url agent-browser close
For those new to the project, think of it as a way for your agent to see and interact with web pages through text. You can use the snapshot command to view a page structure and identify elements with references.
For those with experience, this acts as a bridge between high-level agents and the Chrome DevTools Protocol. The CLI sends commands to a background daemon that manages the browser state. It supports various browser engines and cloud browser providers, allowing you to scale your automation needs.
Browser automation CLI that allows AI agents to navigate pages, read content via accessibility trees, and interact with elements from the shell.
Made by vercel-labs on GitHub. These notes are Minda's, written from its README; the project's own files and license are in its repository.
What it is: Agent-browser is a native Rust command-line tool that lets AI agents drive a web browser. It returns pages as compact text with references for each element, allowing the agent to read the page, act on specific elements, and repeat the process to complete tasks.
Who it suits: It is for those building AI agents that need to perform browser automation.
Where to use it:
How to set it up:
npm install -g agent-browser
agent-browser install
How to use it: You interact with the browser one command at a time through your shell. The browser session stays open between commands.
agent-browser open example.com
agent-browser snapshot -i
agent-browser click @e1
agent-browser get url
agent-browser close
For newcomers and experts: For those new to the project, think of it as a way for your agent to see and interact with web pages through text. You can use the snapshot command to view a page structure and identify elements with references.
For those with experience, this acts as a bridge between high-level agents and the Chrome DevTools Protocol. The CLI sends commands to a background daemon that manages the browser state. It supports various browser engines and cloud browser providers, allowing you to scale your automation needs.
Good to know:
git clone https://github.com/vercel-labs/agent-browser.git
Then follow the setup in its README. Nothing in this kit runs by itself.
README.md 3 KB
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
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