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Brig

A MicroVM sandbox for AI coding agents on Mac and Linux

Details

External ID
49802729
Source
HN
Company
—
Product
—
Website domain
—
Launched
Sept. 22, 2026
Cohort
—
Upvotes
9
Upvotes percentile
0.5422647527910686
Tags
—
Fetched at
Sept. 26, 2026, 10:53 p.m.
Updated at
Sept. 26, 2026, 10:53 p.m.

Description

Hi HN, I’m Spiros from NOFire AI. We’ve open-sourced Brig under Apache 2.0.Brig runs AI coding agents inside a microVM on Mac (Apple Silicon) and Linux (x86_64/ARM). It came out of our work on controlled autonomy for production remediation. The same isolation is useful when running coding agents with auto-approval on your own machine.The agent gets its own Linux kernel. You choose the project and credentials to share. The shared project remains writable, and the default network allows internet access.After installation, brig run claude starts Claude Code inside the sandbox.All components are Apache 2.0, including the microVMM, which is under 20,000 lines of code. The README covers installation, the architecture and the security model.

Enrichment

Theme
developer tools for AI agents
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI feature
Project type
Hobby / open-source project
Normalized one-liner
microvm sandbox for ai coding agents
Manually corrected
False

Could you build this?

No Brig requires deep systems virtualization expertise, low-level hypervisor management (Apple Hypervisor.framework on macOS and KVM on Linux), and guest-host IPC bridging to securely run isolated microVMs.

What it would actually take: Building Brig requires low-level systems programming in Rust, C, or Go, interfacing with macOS Virtualization.framework and Linux KVM/Firecracker/Cloud-Hypervisor. Hard aspects include custom rootfs creation, kernel configuration, virtio-fs shared filesystem mounting, networking bridging, and secure guest-to-host process orchestration.

Discussion

1 comment analyzed.

Competitors

Other products that read as similar to this one — 468 launches clear the similarity bar, closest 8 shown.

Attention rank: #207 of 469 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 323 days after the earliest competitor.

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