Run coding agents in microVM sandboxes instead of your host machine
Details
- External ID
- 47877726
- Source
- HN
- Company
- —
- Product
- Run coding agents in microVM sandboxes instead of your host machine
- Website domain
- github.com
- Launched
- April 23, 2026
- Cohort
- —
- Upvotes
- 63
- Upvotes percentile
- 0.8586118251928021
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
Hi HN, we built SuperHQ, an open source app that runs AI coding agents in isolated microVM sandboxes instead of directly on your machine. Each agent gets its own VM with a full Debian environment. You mount your projects in, writes go to a tmpfs overlay so your host is never touched, and you get a diff view to accept or discard changes. API keys never enter the sandbox. We also just launched remote.superhq.ai which acts as a remote control for SuperHQ, allowing you to access your workspaces and agents from anywhere.
Enrichment
- Theme
- developer tools for AI agents
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- sandbox environment for running coding agents
- Manually corrected
- False
Could you build this?
No Running isolated microVM sandboxes with tmpfs overlays and host mounts requires low-level hypervisor virtualization and Linux kernel systems engineering.
What it would actually take: This architecture requires integrating with low-level microVM hypervisors like Firecracker or Cloud-Hypervisor using KVM on Linux, managing tap devices for networking, and constructing chroot/jail environments with tmpfs copy-on-write union mounts. Building this demands deep Linux systems engineering and hypervisor virtualization security expertise.
Discussion
3 comments analyzed.
Competitors mentioned: Ollama, vLLM
Concerns raised: Persistent state across sessions with tmpfs overlay model, Air-gapped environment constraints for agent workloads
Feature requests: Support for agent memory/learning across multiple runs, Integration with Kubernetes NetworkPolicies for egress control
Competitors
Other products that read as similar to this one — 252 launches clear the similarity bar, closest 8 shown.
Attention rank: #55 of 253 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 168 days after the earliest competitor.
- Run AI coding agents in real, local sandboxes, not Git worktrees · hn · 2026-04-12 · 6 upvotes · similarity 0.82
- Sanbox, batteries included sandboxes for AI agents · hn · 2026-07-12 · 5 upvotes · similarity 0.59
- Superserve · hn · 2026-07-21 · 9 upvotes · similarity 0.54
- Sandbox Agent SDK · hn · 2026-01-28 · 41 upvotes · similarity 0.52
- Superset 2.0 · ph · 2026-05-06 · 414 upvotes · similarity 0.52
- MonkeysCode Code Agent · ph · 2026-09-14 · 1 upvotes · similarity 0.51
- Brig · hn · 2026-09-22 · 9 upvotes · similarity 0.50
- SmolVM · hn · 2026-04-10 · 8 upvotes · similarity 0.50
Other launches for this product
- No other launches for this product.
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