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BoxLite Open Source
Open-source microVMs for AI agents, embedded in your app
Run AI-generated code in hardware-isolated microVMs on your own machine. BoxLite runs Docker/OCI images, keeps files across restarts, and embeds in your app with Python, Node.js, Go, Rust, or C. No daemon or cloud account required.
Hi everyone! I'm Dorian, the founder of BoxLite.
AI agents need a place to execute code, install packages, and work with files. BoxLite gives them a microVM that you can embed directly in your application.
Each box has its own Linux kernel. You can run existing Docker/OCI images, keep files and installed packages across restarts, and control network access. The runtime runs locally without a background daemon or a cloud account.
Get started with pip install boxlite, or use the Node.js, Go, Rust, or C SDK. There is also a CLI and a REST server. Supported hosts include Apple Silicon Macs, Linux, and Windows through WSL2 with KVM support.
The project is free and open source under Apache 2.0: https://github.com/boxlite-ai/bo...
I'd love to hear what you're building and what you need from an agent sandbox. Questions, feedback, and contributions are welcome!
About BoxLite Open Source on Product Hunt
“Open-source microVMs for AI agents, embedded in your app”
BoxLite Open Source was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #275 on the daily leaderboard. Run AI-generated code in hardware-isolated microVMs on your own machine. BoxLite runs Docker/OCI images, keeps files across restarts, and embeds in your app with Python, Node.js, Go, Rust, or C. No daemon or cloud account required.
On the analytics side, BoxLite Open Source competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how BoxLite Open Source performed against the three products that launched closest to it on the same day.
Who hunted BoxLite Open Source?
BoxLite Open Source was hunted by Dorian Zheng. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of BoxLite Open Source including community comment highlights and product details, visit the product overview.
Dorian Zheng