firecracker

Secure and fast microVMs for serverless computing. (by firecracker-microvm)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better firecracker alternative or higher similarity.

firecracker discussion

firecracker reviews and mentions

Posts with mentions or reviews of firecracker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-08-28.
  • Firecracker Virtualization Overview
    1 project | dev.to | 11 Dec 2025
    There are many good quick start documents 1 and blogs describing how to install and start a single Firecracker MicroVM instance. Because of these great resources readily available, I won't describe that here.
  • Firecracker: Secure and fast microVMs for serverless computing
    4 projects | news.ycombinator.com | 28 Aug 2025
  • Entropy for Clones
    1 project | news.ycombinator.com | 13 Apr 2025
  • Firecracker Entropy for VM Clones
    1 project | news.ycombinator.com | 11 Apr 2025
  • Show HN: Ephemeral VMs in 1 Microsecond
    2 projects | news.ycombinator.com | 20 Dec 2024
    Well, FireCracker has a jailer process: https://github.com/firecracker-microvm/firecracker/blob/main...
  • Show HN: Prisma Postgres. Runs on bare metal and unikernels
    3 projects | news.ycombinator.com | 30 Oct 2024
  • Show HN: Desktop Sandbox for Secure Cloud Computer User
    3 projects | news.ycombinator.com | 24 Oct 2024
    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 We originally made this for one of our customers because they were running evals on the desktop-like environment with GUI for their model.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/

  • I'm Funding Ladybird Because I Can't Fund Firefox
    7 projects | news.ycombinator.com | 7 Jul 2024
    What he said is true, AWS uses Rust heavily in some of AWS core systems https://aws.amazon.com/blogs/devops/why-aws-is-the-best-plac....

    Some of the open source projects you can find are AWS Firecracker https://github.com/firecracker-microvm/firecracker and Cloudflare Pingora https://github.com/cloudflare/pingora

  • Lambda Internals: Why AWS Lambda Will Not Help With Machine Learning
    1 project | dev.to | 25 Apr 2024
    This architecture leverages microVMs for rapid scaling and high-density workloads. But does it work for GPU? The answer is no. You can look at the old 2019 GitHub issue and the comments to it to get the bigger picture of why it is so.
  • Show HN: Add AI code interpreter to any LLM via SDK
    5 projects | news.ycombinator.com | 12 Apr 2024
    Hi, I'm the CEO of the company that built this SDK.

    We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2].

    You can think of us as giving small cloud computers to LLMs.

    We recently created a dedicated SDK for building custom code interpreters in Python or JS/TS. We saw this need after a lot of our users have been adding code execution capabilities to their AI apps with our core SDK [3]. These use cases were often centered around AI data analysis so code interpreter-like behavior made sense

    The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4].

    We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that on users. We're really just a boring code execution layer that sats at the bottom that we're building specifically for the future software that will be building another software. We work with any LLM. Here's how we added code interpreter to Claude [5].

    Our long-term plan is to build an automated AWS for AI apps and agents.

    Happy to answer any questions and hear feedback!

    [0] https://e2b.dev/

    [1] https://github.com/e2b-dev

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

    [3] https://e2b.dev/docs

    [4] https://jupyter-client.readthedocs.io/en/latest/messaging.ht...

    [5] https://github.com/e2b-dev/e2b-cookbook/blob/main/examples/c...

  • A note from our sponsor - InfluxDB
    www.influxdata.com | 24 Dec 2025
    InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now. Learn more →

Stats

Basic firecracker repo stats
83
31,458
9.9
6 days ago

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