BrowserAct Skills Browser automation CLI built for AI agents. Get past anti bot walls, hand off to humans across platforms when stuck, run parallel tasks without cross contamination, and isolate multiple accounts in independent browsers. Why BrowserAct The browser an AI agent needs has to reach places standard tools can't, let a human seamlessly take over when the agent is stuck, keep parallel tasks from cross contaminating, and be designed for LLM reasoning — not human written scripts. A browser for agents must get four things right. 1. Break through blocks — three progressive layers 1. Environment layer — stealth fingerprint spoofing, TLS rotation, proxy switching. The vast majority of blocks never trigger. 2. Execution layer — solve captcha auto solves CAPTCHAs; stealth extract pulls protected pages in one command. 3. Human layer — remote assist generates a live URL; the user takes over from any device, and the agent continues seamlessly when done. 2. Three browser modes — by real world scenario Mode Scenario Key trait chrome Reuse local Chrome login state Profile import or CDP attach stealth privacy mode Frictionless batch scraping without login Fresh fingerprint per session + proxy rotation, zero residue stealth fixed identity Logged in accounts · multi browser parallel Stable fingerprint + stable IP, stable account identity, not flagged as bots 3. Zero interference concurrency — every agent in its own lane Cross browser parallel — independent cookies, fingerprints, proxies. Sites cannot correlate them. Same browser multi session — shared login state, independent execution, tasks don't block each other. Privacy mode — fresh fingerprint and empty profile per session, zero residue when done. 4. Designed for agent reasoning — not human scripts Compact text output — indexed text format, several times more token efficient than JSON or HTML. Indexed interaction — state returns an indexed list; click 3 / input 2 "..." . No DOM parsing required. Semantic memory — every