Scalebrowser is self-hosted browser infrastructure for teams running AI agents. Each agent gets an isolated profile with a persistent identity that survives restarts and encrypted moves between your machines. Cookies, logins, passkeys, memory, and tasks remain with it.

A patched Chromium fork works below the page instead of covering automation traces with scripts. It uses the real GPU and screen in your machine, rejects contradictory identities, and sends every click, keystroke, and scroll through a human-like input layer. Agents can handle email and SMS codes, generate TOTP, solve 18 measured captcha types, and respond to browser permission prompts.

Scalebrowser connects over MCP, REST, Node.js, Python, or direct CDP. Compact page maps and deltas reduce model context, while run trails, per-step screenshots, secret filtering, and server-side limits make work observable and controllable. Profiles are unlimited on every plan; pricing is based only on concurrent browsers and machines.