# Hyperbrowser

> Cloud browsers, sandboxes and web data APIs for AI agents, plus managed agents that run browser tasks from a prompt

Source: https://dontaskagain.com/hyperbrowser
Website: https://www.hyperbrowser.ai/?utm_source=dontaskagain
Pricing: Freemium
Categories: [Sandboxes](https://dontaskagain.com/categories/sandboxes.md), [Browser agents](https://dontaskagain.com/categories/browser-agents.md), [Web scraping](https://dontaskagain.com/categories/web-scraping.md)
Listed: 2026-10-25
Updated: 2026-10-25

Hyperbrowser is infrastructure that gives AI agents a cloud browser, compute and web data. Developers connect their scripts to hosted Chrome sessions, run code in isolated sandboxes, or send a prompt to a managed agent that completes the task in a browser and returns the result.

**Key features:**

- Cloud-hosted Chrome controlled through Playwright or Puppeteer.
- Managed agents including HyperAgent, Browser Use and computer-use models.
- Isolated sandbox VMs with memory snapshots for reuse between runs.
- Web API to fetch pages, crawl sites or search, returning markdown, HTML, screenshots or schema-matched JSON.
- Browser profiles that keep cookies and logins between runs.
- Live session viewing and recorded replays for debugging.

Hyperbrowser is accessed through Node.js and Python SDKs, a CLI and MCP. Plans share a credit pool across browsers, sandboxes, web data and agents: the Free plan includes 5,000 credits and one concurrent session, Startup is $30/month with 30,000 credits and 25 sessions, and Scale is $100/month with 100,000 credits and 100 sessions. Enterprise is custom.

## More sandboxes

- [Browserbase](https://dontaskagain.com/browserbase.md): Cloud browser platform that lets AI agents log in, navigate, fill forms and extract data from any website at scale
- [Steel](https://dontaskagain.com/steel.md): Open-source browser API that spins up fleets of cloud browsers for agents to research, scrape, shop and fill forms
- [Anchor Browser](https://dontaskagain.com/anchor-browser.md): Cloud browser infrastructure that runs fleets of managed Chromium agents to automate authenticated web tasks at scale
- [Cua](https://dontaskagain.com/cua.md): Shared virtual desktops where you and computer-use agents like Claude Code or Codex work side by side
- [E2B](https://dontaskagain.com/e2b.md): Cloud sandboxes that give each AI agent an isolated microVM with a shell, filesystem, browser and network
- [Daytona](https://dontaskagain.com/daytona.md): Sandbox infrastructure for running AI-generated code in isolated, stateful environments that start in under 90 ms
- [Modal](https://dontaskagain.com/modal.md): Serverless AI cloud for inference, training, batch jobs and scalable sandboxes that give agents their own computers
- [Runloop](https://dontaskagain.com/runloop.md): Micro-VM sandboxes called Devboxes for building, evaluating and running AI coding agents at scale