by e2b-dev · LLM Plugin · ★ 1.4k
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E2B Desktop Sandbox - Open Source Virtual Computer for Computer Use E2B Desktop Sandbox is an open source secure virtual desktop ready for Computer Use. Powered by E2B. Each sandbox is isolated from the others and can be customized with any dependencies you want. Examples SDK Examples Basic Examples: Python JavaScript Streaming Desktop Applications: Python JavaScript Open Computer Use Computer use made with 100% open source LLMs. 🏄 Surf OpenAI Computer Use Agent using E2B's Desktop Sandbox. Runs as a Next.js app. 🚀 Getting started The E2B Desktop Sandbox is built on top of E2B Sandbox. Get E2B API key Sign up at E2B and get your API key. Set environment variable with your API key. Install SDK Python JavaScript Create Desktop Sandbox Python python from e2bdesktop import Sandbox Create a new desktop sandbox desktop = Sandbox.create() Launch an application desktop.launch('google-chrome') # or vscode, firefox, etc. Wait 10s for the application to open desktop.
| Stars | 1,366 |
| Forks | 172 |
| Language | Python |
| Category | LLM Plugin |
| License | Apache-2.0 |
| Quality Score | 47.902/100 |
| Open Issues | 10 |
| Last Updated | 2026-05-11 |
| Created | 2024-05-26 |
| Platforms | python |
| Est. Tokens | ~555k |
These tools work well together with desktop for enhanced workflows:
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desktop is E2B Desktop Sandbox for LLMs. E2B Sandbox with desktop graphical environment that you can connect to any LLM for secure computer use.. It is categorized as a LLM Plugin with 1.4k GitHub stars.
desktop is primarily written in Python. It covers topics such as ai, computer, desktop.
You can find installation instructions and usage details in the desktop GitHub repository at github.com/e2b-dev/desktop. The project has 1.4k stars and 172 forks, indicating an active community.
desktop is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to desktop on Agent Skills Hub include chatgpt-subtitle-translator, zcf, Awesome-AITools. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.