agent-browser

Browser automation for AI agents is achieved by driving web pages, forms, and data extraction in isolated Docker containers. This enables navigation, form filling, clicking, and data collection across multiple sites without human input.

Isolated container execution runs each AI agent in its own Docker container with controlled access. This ensures deterministic task execution and separate state, preventing interference during web scraping, form submissions, and website testing.

The best way to extract data from websites using AI agents is launching a browser session against a URL and snapshotting the page. This discovers interactable elements via ref-based interactions for consistent command execution.

Yes, Docker is required to run browser automation for AI agents. It provides the security sandbox and per-agent container isolation necessary to ensure deterministic task execution and separate state across different browser backends.

Yes, you can use the same browser automation commands across different browser backends. The unified API provides a consistent command surface for tasks like login flows, data scraping, and website testing across multiple sites.

Deterministic task execution matters for web automation because it guarantees reliable and repeatable results. Per-agent container isolation ensures separate state, preventing unpredictable behavior during login flows, form submissions, and data scraping.