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AgentBrowser

Give your AI agents a powerful, scriptable headless browser.

agent-browser is a headless browser automation CLI built for AI agents, using compact ref-based snapshots to minimize tokens while enabling deterministic interactions. It offers fast Rust-powered commands, multi-session support, and cross-platform binaries for seamless integration with code-centric AI workflows.
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More about AgentBrowser

agent-browser is a headless browser automation CLI engineered specifically for AI agents that need deterministic, low-token web interaction. Built with a high-performance Rust command-line interface and a Node.js daemon using Playwright, it lets LLM-powered workflows navigate, inspect, and manipulate real browsers without bloating context windows.

Instead of dumping full DOMs, agent-browser returns a compact accessibility snapshot where every element is mapped to a stable ref like @e1 or @e2. This ref-based selection enables repeatable interactions, faster parsing, and dramatically reduced token usage compared to raw HTML. AI agents can click, type, capture screenshots, and manage sessions entirely via shell commands.

Key advantages include:

  • Agent-first design with compact text output optimized for language models
  • Deterministic ref mapping for precise element targeting across steps
  • Over 50 automation commands for navigation, forms, network, storage, and screenshots
  • Multi-session isolation supporting separate authentication contexts
  • Cross-platform binaries for macOS, Linux, and Windows

agent-browser integrates seamlessly with Claude Code, Cursor, GitHub Copilot, Google Gemini, and other code-centric AI environments that can run CLI commands. Whether you’re building autonomous browsing agents, testing AI-driven workflows, or instrumenting data collection, agent-browser provides a robust, scriptable bridge between LLMs and modern browsers.

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