Development · Web app
agent-browser Environments
Run browser automation agents inside on-demand isolated sandbox environments
agent-browser Environments is a demo and integration showcasing vercel-labs/agent-browser running within isolated compute environments like Vercel Sandboxes. It lets AI agents quickly boot pre-configured snapshots to navigate URLs, take screenshots, and extract web page data on demand.
What it's for
- Run web scraping and extraction tasks inside an isolated cloud sandbox
- Enable AI agents to navigate web pages and capture full-page screenshots
- Test agentic browser automation tools without local browser dependencies
Features
- On-demand sandbox environment boot from snapshots
- Full-page PNG screenshot capture
- DOM and metadata extraction
- CLI installation via npx skills add vercel-labs/agent-browser --skill vercel-sandbox
- One-click deployment to Vercel
Pricing
Free. Open-source demo; underlying compute subject to Vercel usage
Details
- Type
- Web app
- Category
- Development
- Topic
- Browser Automation
- Open source
- Yes
- Platforms
- Web, API, Code library
- For
- AI engineers and developers building browser automation agents
- Alternative to
- Browserbase, Steel, Playwright
- Tags
- ai agents, browser automation, vercel, sandboxing, headless browser
Why it was saved
- @ctatedev: Ready-made recipe for building a web-browsing agent with fast sandbox booting (snapshot boot shown at 1.7s).
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