E2B Desktop is an open-source sandboxed virtual desktop environment designed to enable secure “computer use” by large language models and automated agents. The platform provides isolated virtual machines where applications can be executed safely without affecting the host system. Each sandbox runs independently and can be configured with custom dependencies or tools required by an AI agent or automation workflow. The system allows developers to programmatically create and control these virtual desktops through SDKs available in languages such as Python and JavaScript. Within a sandbox, developers can launch applications like browsers, editors, or other software that an AI agent may need to interact with. This approach is particularly useful for building AI agents capable of interacting with graphical environments or performing tasks such as browsing, testing software, or automating workflows.

Features

  • Isolated virtual desktop environments for secure AI agent execution
  • Programmatic sandbox creation through Python and JavaScript SDKs
  • Ability to launch and control desktop applications within the sandbox
  • Customizable environments with user-defined dependencies
  • Secure isolation between sandbox instances
  • Infrastructure for building computer-using AI agents and automation workflows

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow E2B Desktop Sandbox

E2B Desktop Sandbox Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of E2B Desktop Sandbox!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Large Language Models (LLM)

Registered

2026-03-09