Show HN: Desktop Sandbox for Secure Cloud Computer User

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

AppSignal - Monitoring that respects your time & budget
APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.
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  1. desktop

    E2B Desktop Sandbox for LLMs. E2B Sandbox with desktop graphical environment that you can connect to any LLM for secure computer use. (by e2b-dev)

  2. AppSignal

    Monitoring that respects your time & budget. APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.

    AppSignal logo
  3. firecracker

    Secure and fast microVMs for serverless computing.

    Hello, I'm the CEO of the company that built this - E2B [0]. We're building infrastructure for AI code interpreting. Companies like Perplexity are using us.

    We're using Firecrackers [1] to power our sandboxes. Funnily enough, we had this repo sitting on our GitHub for about 6 months. We originally made this for one of our customers because they were running evals on the desktop-like environment with GUI for their model.

    You can use PyAutoGUI [2] to control the whole environment programmatically.

    The desktop-like environment is based on Linux and Xfce [3] at the moment. We chose Xfce because it's a fast and lightweight environment that's also popular and actively supported. However, this Sandbox template is fully customizable and you can create your own desktop environment.

    Let me know if you have any questions!

    [0] https://e2b.dev

    [1] https://github.com/firecracker-microvm/firecracker

    [2] https://pyautogui.readthedocs.io/

    [3] https://www.xfce.org/

  4. code-interpreter

    Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app

    Hello, I'm the CEO of the company that built this - E2B [0]. We're building infrastructure for AI code interpreting. Companies like Perplexity are using us.

    We're using Firecrackers [1] to power our sandboxes. Funnily enough, we had this repo sitting on our GitHub for about 6 months. We originally made this for one of our customers because they were running evals on the desktop-like environment with GUI for their model.

    You can use PyAutoGUI [2] to control the whole environment programmatically.

    The desktop-like environment is based on Linux and Xfce [3] at the moment. We chose Xfce because it's a fast and lightweight environment that's also popular and actively supported. However, this Sandbox template is fully customizable and you can create your own desktop environment.

    Let me know if you have any questions!

    [0] https://e2b.dev

    [1] https://github.com/firecracker-microvm/firecracker

    [2] https://pyautogui.readthedocs.io/

    [3] https://www.xfce.org/

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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