Vercel Sandbox

Run agent-browser + Chrome inside Vercel Sandbox microVMs for browser automation from any Vercel-deployed app. Use when the user needs browser automation in a Vercel app (Next.js, SvelteKit, Nuxt, Remix, Astro, etc.), wants to run headless Chrome without binary size limits, needs persistent browser sessions across comm

Overview

The Vercel Sandbox skill enables AI agents to execute browser automation tasks within Vercel Sandbox microVMs. Developed as part of the vercel-labs/agent-browser repository, which has gained significant traction with over 37,000 stars, this tool allows developers to run headless Chrome without the typical binary size constraints found in serverless environments. It is compatible with frameworks like Next.js, SvelteKit, and Nuxt. By leveraging microVM technology, the skill provides a stable environment for persistent browser sessions and complex web interactions. This integration is particularly useful for agents like Codex and Claude that require reliable web navigation capabilities directly from a Vercel-deployed application infrastructure.

Use Cases

Executing headless Chrome automation within Next.js or SvelteKit applications.
Bypassing serverless binary size limits for browser-based data extraction.
Maintaining persistent browser sessions across multiple agent communications.

Install Notes

# Review source first
open https://github.com/vercel-labs/agent-browser/blob/main/skill-data/vercel-sandbox/SKILL.md

Copy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.

Security Notes

This skill operates within Vercel Sandbox microVMs to isolate browser processes from the main application environment. Users should ensure that any data handled during automated sessions complies with their specific security protocols and Vercel's execution policies.

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