Agent Sandbox gives AI agents what they've been missing: a real computer. While other tools focus on making AI smarter, we focus on making AI capable, with sandboxed compute, cloud storage, and artifact retrieval in a single tool. Agents can now upload files, run Python/Bash, install packages, and return real deliverables like charts, PDFs, and datasets all while running locally on your machine.
Hey Product Hunt!
Eishan here, building this with my co-founder Akshay Khepla.
We started Agent Sandbox after one too many "oh no" moments. You know the
feeling—you're building an AI agent, it needs to run code, and your options are: (1)
let it loose on your local machine and pray it doesn't pip install something sketchy or
nuke a folder, or (2) spend weeks setting up sandboxed containers, cloud storage,
networking, permissions... all before you've written a single line of your actual product.
Neither felt right. So we built the thing we wanted: one API to upload files, execute
code safely, and get artifacts back. No local risk, no infra rabbit holes.
You can get up and running with just a single onboarding prompt to your local coding agent!
Anyway, we're stoked to share it. Let us know what you think, ask us anything!
Single API for upload, execute, artifacts back is the right surface area. Most sandbox tools either give you too much infra to manage or too little control over the runtime. Does Agent Sandbox support persistent file systems across sessions? That's where stateful agent workflows get tricky fast.
