browse.sh

browse.sh is a developer-focused browser automation platform that turns real web workflows into reusable, agent-friendly skills. Instead of brittle scrapers or one-off scripts, teams can lean on a catalog of prebuilt skills for popular sites, each describing structured sequences an AI agent can follow with predictable behavior. This catalog approach makes it practical to delegate repetitive browsing tasks, from filling forms to navigating multi-step flows, without rewriting logic for every site. At the core of browse.sh is an agent-first command line interface that talks directly to Chromium. Text-based commands such as browse click, browse type, and browse screenshot accept either CSS selectors or accessibility references, giving agents a stable way to interact with pages even as layouts change. Because the same commands work with selector or accessibility references, workflows tend to be more resilient to front-end redesigns than traditional DOM scraping approaches. Debugging agent behavior in the browser is often the hardest part of automation, and browse.sh treats it as a first-class concern. Built-in commands like browse network --tail and browse console --tail stream live requests, errors, and warnings into the terminal, so engineers can see exactly what an agent is doing and why a workflow stalled. This observability shortens the loop between writing a skill and trusting it in production. Development and deployment flexibility is another strength. Teams can run everything against a local browser while iterating on new skills, then move workloads to managed remote infrastructure simply by prefixing commands with cloud. This lets the same workflows scale from a laptop to large, parallel runs without rewriting code, making browse.sh suitable for both experimentation and sustained agent operations.