About webclaw3

Letting an AI agent drive a browser is powerful but expensive. The same web task — checking a dashboard, posting to a channel, pulling a report — makes the model re-think everything from scratch every single run, burning millions of tokens and producing hit-or-miss results.

webclaw3 fixes that with a simple idea: learn once, run free forever. You explore a task with your agent until it works, then ask it to distill the run into a skill — a deterministic script that reruns the same task with zero or near-zero tokens, in milliseconds, with consistent results.

Everything happens on your own machine, using your own browser login state. We never see your credentials, and skills only ever send back a site’s public page structure — never your personal data. When a site redesign breaks a skill, webclaw3 repairs it locally, for free.

webclaw3 works with agents like Claude Code, QoderWork, and WorkBuddy. It is currently in open beta. Source and documentation live on GitHub.