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 100,000 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 layout changes, Browser Use adapts because it reasons from the 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. Browser Use, Inc. also offers a cloud platform adding stealth browsers that mimic human browser fingerprints to handle canvas, WebGL, and audio fingerprinting, avoiding bot detection on adversarial sites. The open-source library integrates with any LLM via BYOK including OpenAI, Anthropic, Google Gemini, Groq, and local models via Ollama, and works natively with LangChain and n8n as orchestration platforms. Browser Use ships both a local MCP server (stdio) and a hosted Cloud MCP server, confirmed as an official listing on PulseMCP, enabling Claude Desktop, Cursor, and other MCP-compatible agents to invoke browser automation tools directly. The cloud platform provides residential proxies across 195 plus countries for geo-specific web access. Named gaps: the library does not natively integrate with internal SaaS tools without custom tool definitions; the cloud platform has no no-code interface for non-developers; browser automation cannot access content behind OAuth walls without credential management; and there is no built-in session persistence between separate task runs without custom implementation. Pricing verified live on browser-use.com/pricing as of May 2026. Cloud tiers operate on a credits model with usage billing at $0.06 per browser session per hour and $5 per GB of proxy bandwidth. Free: $0 per month with 10 agent tasks and 3 concurrent sessions. Dev: $29 per month including $29 in credits, 25 concurrent sessions, advanced stealth browsers, BYOK support, and top-up capability. Business: $299 per month including $400 in monthly credits and 200 concurrent sessions. Scaleup: $999 per month including $1,400 in monthly credits and 500 concurrent sessions. Enterprise: custom pricing with annual credit pool, SLAs, data retention terms, and dedicated support. The open-source library (MIT license, pip install browser-use) is free and self-hosted with no cloud billing, requiring users to manage their own compute and LLM API keys. Browser benchmarks report 97 percent task accuracy on the Browser Use cloud benchmark. Privacy note: the cloud platform privacy policy explicitly states that user inputs are used to train Browser Use AI models; teams with data sensitivity requirements should use the self-hosted open-source library instead. Browser Use is not the right fit for non-technical teams without Python development experience: no-code browser automation tools like Zapier (from $19.99 per month), Make (from $9 per month), or Bardeen handle common browser workflows without writing code. Teams requiring deterministic, zero-failure automation on critical production workflows should not rely solely on LLM-based automation: traditional tools like Playwright and Selenium guarantee identical results on every run in ways that LLM reasoning cannot, making Browser Use a complement rather than a replacement for deterministic test automation. Organizations that cannot accept data training on their task inputs should use the self-hosted open-source library rather than the cloud platform, as the Browser Use cloud privacy policy does not offer an opt-out from AI model training on standard plans. Current state Q2 2026: Browser Use achieved SOC 2 Type 2 compliance in October 2025, audited by Accorp Partners over a July to October 2025 observation window. The company launched Browser Use Desktop, an open-source desktop app, alongside the v2.1 release. The cloud platform expanded to include Custom Models (purpose-built LLMs for browser automation benchmarked at 19 tasks per dollar), Browser Use Box (a 24/7 cloud agent combining Claude Code and Browser Harness), and proxy access across 195 plus countries. The GitHub repository crossed 100,000 stars, placing it among the fastest-growing open-source AI agent projects globally. No HIPAA or GDPR certifications have been announced as of this audit.