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sandboxd
The open-source AI app builder — on your own server
Open-source, self-hosted AI app builder — an agent builds real apps in isolated sandboxes on your own server, each live at a preview URL. One command.
Hey Product Hunt 👋
I'm the maker of sandboxd, an open-source, self-hosted AI app builder.
You've probably seen the apps where you type "build me a dashboard" and a working site shows up at a URL — Lovable, Bolt, v0. They really do feel like magic. The problem is that your code, your keys, and your data all sit on someone else's servers. You can't run them behind your own firewall, use your own model budget, or actually keep what you built. That was the itch I couldn't scratch.
So I built the open-source engine that makes the same magic work on your own machine. One curl | bash gets you the whole thing: you describe an app, an AI agent builds it inside an isolated sandbox on your server, and you get a live preview URL. Your infra, your code, your keys. MIT-licensed.
What surprised me along the way is that the hard part wasn't the AI — it was the platform around it. Each app has to be isolated so one can't touch another. Each one needs a live URL routed to it. Idle apps need to sleep so a single cheap box can hold many of them. And API keys have to stay out of the sandbox entirely. Once that layer existed, a nice side effect fell out: you can run existing open-source apps in it too — n8n, Ghost, Grafana, and more than 80 others, each with one click. So the project grew from "AI app builder" into a place where AI agents and real apps live together on your server.
I kept the internals deliberately boring: one Go binary driving Docker, Traefik for URLs, and SQLite for state. No Kubernetes, no queue, no separate database. It runs on a $5 VPS.
A few honest notes. It's still beta (0.x). Isolation today means hardened containers, with optional gVisor for a stronger boundary — not full VMs yet. One thing to know on the security side: sandbox egress is open by default, so apps can reach the internet out of the box — if you're running on a public server, I'd recommend hardening the setup and putting the dashboard behind an auth password. And thanks to OpenCode's free tier, you can build your first app without any API key at all.
It's free and MIT-licensed, and I'd genuinely appreciate feedback — especially on the isolation model and on where the first-run experience still has friction. If you self-host it, tell me what you built (or broke) 🙏
One question for you: should I push harder on the "prompt → app" builder side, or on the "run any open-source app in one click" side? Curious where your head's at.
About sandboxd on Product Hunt
“The open-source AI app builder — on your own server”
sandboxd was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #150 on the daily leaderboard. Open-source, self-hosted AI app builder — an agent builds real apps in isolated sandboxes on your own server, each live at a preview URL. One command.
On the analytics side, sandboxd 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 sandboxd performed against the three products that launched closest to it on the same day.
Who hunted sandboxd?
sandboxd was hunted by abdelouahed kasri. 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 sandboxd including community comment highlights and product details, visit the product overview.