Hi HN, sandboxd is a self-hosted platform for running AI coding agents and apps on your own server. You type a prompt, an agent builds the app in an isolated sandbox, and you get a live preview URL. Like Lovable, but on your box with your rules — your model, file editor, real terminal in the browser. You can also deploy 80+ open-source apps (n8n, Uptime Kuma...) from a catalog.
I posted an earlier version 6 weeks ago (https://news.ycombinator.com/item?id=48388909). The feedback made me pivot from "isolation" to "working dev environments" — agents and apps living in one place.
There's now a console UI on top: type a prompt, an agent builds the app in a sandbox, you get a live preview URL. Like Lovable, but on your server with your rules — your model, file editor, real terminal. Or deploy 80+ open-source apps (n8n, Uptime Kuma...) from the catalog.
Stack: one Go binary, SQLite, Docker, Traefik. No k8s. Runs on a $20 VPS. Hardened Docker by default, opt-in gVisor: https://sandboxd.io/security I built this for myself — I was drowning in agents, folders, and servers. Now it's all on one box. Still beta.
Install: curl -fsSL https://sandboxd.io/install | bash
Known gaps: sandbox egress is open for now, and don't run hostile multi-tenant stuff on the Docker default. MIT licensed. Around all day for questions.
BotTrade, a benchmark for autonomous trading agents. Historic market scenarios (hourly bars from real market data), a market simulator, and a public leaderboard. Your agent connects over REST or MCP, trades over the market simulator, and is scored on return and drawdown.
Also there is a python SDK and an adapter for this open source project ai-hedge-fund so you can run that project through this benchmark.
by donkorj ·