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browser-use vs BrowserOS

The standard library for letting AI agents drive a real browser — click, type, fill forms and complete tasks from a natural-language goal. 100k+ stars, Python. — versus — Open-source agentic browsing, twice: BrowserClaw — a browser your MCP agent drives using your real logged-in sessions — and BrowserOS, a Chromium fork with a built-in AI agent.

The curated verdict

Same job — giving an AI agent a real browser — from opposite ends: browser-use is the Python library you embed in your agent; BrowserClaw is a shipped browser your MCP client drives, riding your existing logins instead of fresh sessions.

browser-useBrowserOS
Stars105k12k
Forks12k1.3k
LanguagePythonTypeScript
LicenseMITAGPL-3.0
Last activityyesterdaytoday
Topicsagents, webagents, web
Curated connections71

browser-use — the curator's take

When the task lives behind login walls, forms and JavaScript — 'book this', 'apply to that', 'put these in my cart' — this is the default tool: it feeds the agent a cleaned DOM, executes its clicks/typing, and recovers from the endless weirdness of real websites. Install-as-skill support means Claude Code/Cursor agents pick it up in one prompt. NOT for bulk data extraction — an LLM driving a browser is the slowest, most expensive way to scrape a thousand pages (use a crawler); and treat any agent-with-a-browser as having the keys to whatever it's logged into — sandbox accordingly.

BrowserOS — the curator's take

Two answers to 'AI needs a browser' in one repo: BrowserClaw lets Claude Code/Cursor/any MCP client drive a real browser with the accounts you're already signed into — watch live, replay every step — and BrowserOS is the privacy-first Chromium fork answering ChatGPT Atlas/Comet for humans. The logged-in-sessions model is the killer feature and the risk: your agent acts as YOU, so scope what it can reach. NOT a scraping library (that's browser-use's Python-SDK territory); AGPL-3.0, and a Chromium fork means trusting their patch cadence for security updates.