AI agents run with full system access and zero accountability. Docker isolates but doesn't govern. envpod wraps every agent in a copy-on-write overlay - your host is never touched until you review and commit. Encrypted credential vault, per-pod DNS filtering, action queue for dangerous ops, append-only audit trail. Single 13MB static binary. No daemon, no dependencies. 32ms warm start. Tested on 9 Linux distros. 41 agent configs included. Free to use.

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Hey Product Hunt! I'm Mark, solo developer behind envpod. I built this after watching AI coding agents rewrite files, leak credentials, and make network calls I never approved. Docker puts agents in a box but doesn't tell you what happened inside. envpod does. Three commands to try it: envpod init my-agent --preset claude-code envpod run my-agent -- claude envpod diff my-agent Every file change captured, reviewed before landing, rolled back if wrong. Credentials encrypted and injected at runtime. DNS filtered per agent. Dangerous operations queued for approval. Would love feedback from anyone running AI agents in production. What's your current safety setup? GitHub: https://github.com/markamo/envpo... Docs: https://envpod.dev Discord: https://discord.gg/envpod

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Envpod - Governance for AI agents

Diff, approve, and rollback every AI agent side effect

Diff, approve, and rollback every AI agent side effect