import { pageMetadata } from "@/lib/page-metadata" export const metadata = pageMetadata("") # agent-browser Browser automation CLI designed for AI agents. Compact text output minimizes context usage. 100% native Rust. ```bash npm install -g agent-browser # all platforms brew install agent-browser # macOS agent-browser install # Download Chrome (first time) # or try without installing npx agent-browser open example.com ``` ## Features - **Agent-first** - Compact text output uses fewer tokens than JSON, designed for AI context efficiency - **Ref-based** - Snapshot returns accessibility tree with refs for deterministic element selection - **Fast** - Native Rust CLI for instant command parsing - **Complete** - 50+ commands for navigation, forms, screenshots, network, storage - **Sessions** - Multiple isolated browser instances with separate auth - **Cross-platform** - macOS, Linux, Windows with native binaries ## Works with Claude Code, Cursor, GitHub Copilot, OpenAI Codex, Google Gemini, opencode, and any agent that can run shell commands. ## Example ```bash # Navigate and get snapshot agent-browser open example.com agent-browser snapshot -i # Output: # - heading "Example Domain" [ref=e1] # - link "More information..." [ref=e2] # Interact using refs agent-browser click @e2 agent-browser screenshot page.png agent-browser close ``` ## Why refs? The `snapshot` command returns a compact accessibility tree where each element has a unique ref like `@e1`, `@e2`. This provides: - **Context-efficient** - Text output uses ~200-400 tokens vs ~3000-5000 for full DOM - **Deterministic** - Ref points to exact element from snapshot - **Fast** - No DOM re-query needed - **AI-friendly** - LLMs parse text output naturally ## Architecture Client-daemon architecture for optimal performance: 1. **Rust CLI** - Parses commands, communicates with daemon 2. **Native Daemon** - Pure Rust daemon using direct CDP, manages Chrome via Chrome DevTools Protocol Daemon starts automatically and persists between commands. ## Platforms Native Rust binaries for macOS (ARM64, x64), Linux (ARM64, x64), and Windows (x64).