agent-browser

You can automate browser tasks by using a CLI that orchestrates actions like open, click, fill, and screenshot. It relies on frontmatter-driven entries with refs-based commands to execute deterministic browser actions for AI agents across web apps and dashboards.

Data extraction from web pages is handled by opening a URL, taking a snapshot to obtain element references, and then issuing interaction commands. This approach captures content and extracts data across web apps and dashboards without writing manual scripts.

Yes, you can automate login flows and form submission through a unified CLI. It orchestrates deterministic browser actions to fill forms and click elements, enabling end-to-end form automation for QA, research, or content capture.

Refs-based interaction uses compact element references instead of full page HTML, reducing context size. This lightweight reference system improves AI planning by providing precise element targets for click, fill, and snapshot actions during browser automation.

No external dependencies are required to run this browser automation. It operates using a frontmatter-driven entry with refs-based commands and a standalone CLI, allowing you to navigate, interact, and extract data immediately.

Deterministic browser actions execute predefined steps using refs, meaning they may not adapt to dynamic DOM changes without re-snapshotting. If a web app's layout shifts unexpectedly, the compact element references must be regenerated to continue accurate data extraction.