Vercel Labs 發布用於 AI 代理的無頭瀏覽器自動化 CLI

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Browser automation CLI for AI agents

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vercel-labs/agent-browser

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agent-browser

Headless browser automation CLI for AI agents. Fast Rust CLI with Node.js fallback.

Installation

npm (recommended)

From Source

Linux Dependencies

On Linux, install system dependencies:

Quick Start

Traditional Selectors (also supported)

Commands

Core Commands

Get Info

Check State

Find Elements (Semantic Locators)

Actions: click, fill, check, hover, text

Examples:

Wait

Load states: load, domcontentloaded, networkidle

Mouse Control

Browser Settings

Cookies & Storage

Network

Tabs & Windows

Frames

Dialogs

Debug

Navigation

Setup

Sessions

Run multiple isolated browser instances:

Each session has its own:

Snapshot Options

The snapshot command supports filtering to reduce output size:

Options

Selectors

Refs (Recommended for AI)

Refs provide deterministic element selection from snapshots:

Why use refs?

CSS Selectors

Text & XPath

Semantic Locators

Agent Mode

Use --json for machine-readable output:

Optimal AI Workflow

Headed Mode

Show the browser window for debugging:

This opens a visible browser window instead of running headless.

Architecture

agent-browser uses a client-daemon architecture:

The daemon starts automatically on first command and persists between commands for fast subsequent operations.

Browser Engine: Uses Chromium by default. The daemon also supports Firefox and WebKit via the Playwright protocol.

Platforms

Usage with AI Agents

Just ask the agent

The simplest approach - just tell your agent to use it:

The --help output is comprehensive and most agents can figure it out from there.

AGENTS.md / CLAUDE.md

For more consistent results, add to your project or global instructions file:

Claude Code Skill

For Claude Code, a skill provides richer context:

Or download:

License

Apache-2.0

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Browser automation CLI for AI agents

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