Browser Use

Browser Use is an open-source Python library that lets AI agents control a real browser using LLMs instead of brittle CSS selectors or XPath scripts. Rather than pre-programming every interaction with fragile selector code, agents describe what they want in natural language and Browser Use figures out how to execute it against whatever website it encounters, including sites it has never seen before. With over 90,000 GitHub stars, it is one of the most widely adopted open-source browser automation libraries in the AI agent ecosystem. The library provides a self-healing automation harness: when a website's layout changes, Browser Use adapts because it reasons from the page's current visual and DOM state rather than hardcoded selectors. This makes it well-suited for automating legacy enterprise web applications, government portals, insurance platforms, healthcare systems, and any site without a public API. The cloud platform adds stealth browsers that mimic human browser fingerprints to avoid bot detection, handling canvas, WebGL, and audio fingerprinting automatically. The product line has multiple tiers. The open-source library (MIT license, pip install browser-use) is free and self-hosted, giving direct browser automation access with your own LLM API keys. The cloud platform adds managed infrastructure: Free tier (10 tasks/month, 3 concurrent sessions, advanced stealth), Dev ($29/month, $29 in credits, 25 concurrent sessions), Business and Scaleup tiers for higher volume. Browser Use Box is a 24/7 cloud agent product that runs continuously on your behalf. Browser Use ships both a local MCP server (stdio) and a hosted Cloud MCP server. This means Claude Desktop, Cursor, and other MCP-compatible agents can directly invoke browser automation tools including navigate, fill forms, extract data, manage tabs, and run autonomous agent tasks, without custom integration code. Benchmarks report 97% task accuracy on the Browser Use cloud benchmark. The library supports any LLM via BYOK, including OpenAI, Anthropic, Google Gemini, Groq, and local models via Ollama. Works with n8n, LangChain, and other orchestration platforms. Key limitations: the open-source library requires your own compute and API key management, complex multi-step tasks on JavaScript-heavy or bot-detection sites can still fail, and the cloud platform's usage-based pricing offers less cost predictability than flat-rate enterprise RPA tools.