This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
miniVE
A local throwaway sandbox for AI agents & any repo
Give your AI coding agent or any sketchy repo - a disposable Linux box on your own machine. Docker-backed Python/Node/Ubuntu, real terminal, port preview. Your host files and keys stay untouched. Delete and every trace is gone. Free, MIT, no cloud.
Hey Product Hunt
I built miniVE for the moment I realized I was letting coding agents run `rm`, `curl | bash`, and `pip install` against my real home directory, my real SSH keys, my real everything. The cloud sandboxes that fix this (E2B, Modal) are great, but they're metered, account-gated, and your code leaves your machine.
miniVE is the local, free version: a disposable Linux box on your own hardware you can point an agent at, or use to try any repo without wrecking your setup.
- Hand your agent a box it can't escape: it thrashes `/workspace`, not your host
- Pick a runtime: Python 3.10-3.12, Node 18-22, or blank Ubuntu
- Drop in files or clone a repo by URL: git runs in the box, not on your machine
- Real multi-tab terminals; installs persist until you say otherwise
- Map ports and preview web apps in-app
- Delete = truly gone. Container and volume removed; your machine stays clean.
Honest about the threat model: this is container isolation, not a microVM. It stops "my agent nuked my home dir" and "that repo leaked my .env," not a determined kernel escape. For your own agents on your own code, that's the right trade. No cloud, no account, no telemetry; everything it creates is auditable with plain docker commands. MIT licensed.
Requires Docker Desktop. Windows, macOS, and Linux.
Would love your feedback, especially what's missing before this becomes your default box for agents and untrusted repos.
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About miniVE on Product Hunt
“A local throwaway sandbox for AI agents & any repo”
miniVE was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #148 on the daily leaderboard. Give your AI coding agent or any sketchy repo - a disposable Linux box on your own machine. Docker-backed Python/Node/Ubuntu, real terminal, port preview. Your host files and keys stay untouched. Delete and every trace is gone. Free, MIT, no cloud.
miniVE was featured in Open Source (68.7k followers), Developer Tools (517.6k followers), Artificial Intelligence (476.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 235.4k products, making this a competitive space to launch in.
Who hunted miniVE?
miniVE was hunted by Sahilpreet Singh Sidhu. 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.
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