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GitHub - smol-machines/smolvm: Tool to build & run portable, lightweight, self-contained virtual machines.
binsquare · 2026-04-18 · via Hacker News

smol machines

Discord Release License

Ship and run software with isolation by default.

This is a CLI tool that lets you:

  1. Manage and run custom Linux virtual machines locally with: sub-second cold start, cross-platform (macOS, Linux), elastic memory usage.
  2. Pack a stateful virtual machine into a single file (.smolmachine) to rehydrate on any supported platform.

Install

# install (macOS + Linux)
curl -sSL https://smolmachines.com/install.sh | bash

# for coding agents — install + discover all commands
curl -sSL https://smolmachines.com/install.sh | bash && smolvm --help

Or download from GitHub Releases, and place it into ~/.local/share/.

Quick Start

# run a command in an ephemeral VM (cleaned up after exit)
smolvm machine run --net --image alpine -- sh -c "echo 'Hello world from a microVM' && uname -a"

# interactive shell
smolvm machine run --net -it --image alpine -- /bin/sh
# inside the VM: apk add sl && sl && exit

Use This For

Sandbox untrusted code — run untrusted programs in a hardware-isolated VM. Host filesystem, network, and credentials are separated by a hypervisor boundary.

# network is off by default — untrusted code can't phone home
smolvm machine run --image alpine -- nslookup example.com
# fails — no network access

# lock down egress — only allow specific hosts
smolvm machine run --net --image alpine --allow-host registry.npmjs.org -- wget -q -O /dev/null https://registry.npmjs.org
# works — allowed host

smolvm machine run --net --image alpine --allow-host registry.npmjs.org -- wget -q -O /dev/null https://google.com
# fails — not in allow list

Pack into portable executables — turn any workload into a self-contained binary. All dependencies are pre-baked — no install step, no runtime downloads, boots in <200ms.

smolvm pack create --image python:3.12-alpine -o ./python312
./python312 run -- python3 --version
# Python 3.12.x — isolated, no pyenv/venv/conda needed

Persistent machines for development — create, stop, start. Installed packages survive restarts.

smolvm machine create --net myvm
smolvm machine start --name myvm
smolvm machine exec --name myvm -- apk add sl
smolvm machine exec --name myvm -it -- /bin/sh
# inside: sl, ls, uname -a — type 'exit' to leave
smolvm machine stop --name myvm

Use git and SSH without exposing keys — forward your host SSH agent into the VM. Private keys never enter the guest — the hypervisor enforces this. Requires an SSH agent running on your host (ssh-add -l to check).

smolvm machine run --ssh-agent --net --image alpine -- sh -c "apk add -q openssh-client && ssh-add -l"
# lists your host keys, but they can't be extracted from inside the VM

smolvm machine exec --name myvm -- git clone git@github.com:org/private-repo.git

Declare environments with a Smolfile — reproducible VM config in a simple TOML file.

image = "python:3.12-alpine"
net = true

[network]
allow_hosts = ["api.stripe.com", "db.example.com"]

[dev]
init = ["pip install -r requirements.txt"]
volumes = ["./src:/app"]

[auth]
ssh_agent = true
smolvm machine create myvm -s Smolfile
smolvm machine start --name myvm

More examples: python · node · doom

How It Works

Each workload gets real hardware isolation — its own kernel on Hypervisor.framework (macOS) or KVM (Linux). libkrun VMM with custom kernel: libkrunfw. Pack it into a .smolmachine and it runs anywhere the host architecture matches, with zero dependencies.

Images use the OCI format — the same open standard Docker uses. Any image on Docker Hub, ghcr.io, or other OCI registries can be pulled and booted as a microVM. No Docker daemon required.

Defaults: 4 vCPUs, 8 GiB RAM. Memory is elastic via virtio balloon — the host only commits what the guest actually uses and reclaims the rest automatically. vCPU threads sleep in the hypervisor when idle, so over-provisioning has near-zero cost. Override with --cpus and --mem.

Comparison

smolvm Containers Colima QEMU Firecracker Kata
Isolation VM per workload Namespace (shared kernel) Namespace (1 VM) Separate VM Separate VM VM per container
Boot time <200ms ~100ms ~seconds ~15-30s <125ms ~500ms
Architecture Library (libkrun) Daemon Daemon (in VM) Process Process Runtime stack
Per-workload VMs Yes No No (shared) Yes Yes Yes
macOS native Yes Via Docker VM Yes (krunkit) Yes No No
Embeddable SDK Yes No No No No No
Portable artifacts .smolmachine Images (need daemon) No No No No

Platform Support

Host Guest Requirements
macOS Apple Silicon arm64 Linux macOS 11+
macOS Intel x86_64 Linux macOS 11+ (untested)
Linux x86_64 x86_64 Linux KVM (/dev/kvm)
Linux aarch64 aarch64 Linux KVM (/dev/kvm)

Known Limitations

  • Network is opt-in (--net on machine create). TCP/UDP only, no ICMP.
  • Volume mounts: directories only (no single files). Mounting at /workspace (-v /host/dir:/workspace) takes priority over the default storage-disk workspace — your host directory is used instead.
  • macOS: binary must be signed with Hypervisor.framework entitlements.
  • --ssh-agent requires an SSH agent running on the host (SSH_AUTH_SOCK must be set).
  • GPU acceleration requires libkrun built with GPU=1 and virglrenderer + a Vulkan driver on the host (see GPU Acceleration below).

GPU Acceleration

smolvm exposes the host GPU to guests via virtio-gpu / Venus (Vulkan-over-virtio). Guest workloads see a real Vulkan device; on Linux + Intel this renders as:

ANGLE (Intel, Vulkan 1.4 (Virtio-GPU Venus (Intel(R) UHD Graphics ...)), venus)

Host requirements

macOS — virglrenderer and MoltenVK are bundled in the smolvm distribution. No extra installs needed.

Linux — virglrenderer and a host Vulkan driver must be installed from the system package manager:

Distro Packages
Alpine apk add virglrenderer mesa-vulkan-intel (or mesa-vulkan-ati for AMD)
Debian/Ubuntu apt install virglrenderer0 mesa-vulkan-drivers

virglrenderer depends on libEGL and libdrm from the host GPU driver stack — these are hardware-specific and cannot be bundled. Any GPU-capable Linux host will already have them installed via its GPU driver.

Usage

# CLI
smolvm machine run --gpu --image alpine -- vulkaninfo --summary

# Smolfile
# gpu = true
# gpu_vram = 2048   # MiB, default 4096

The guest Vulkan loader must be pointed at the virtio ICD:

export VK_ICD_FILENAMES=/usr/share/vulkan/icd.d/virtio_icd.x86_64.json

Headless browser example

See examples/headless-browser/ for a working Chromium setup using ANGLE + Venus for hardware-accelerated WebGL inside a headless VM.

Development

See docs/DEVELOPMENT.md.

Apache-2.0 · made by @binsquare · twitter · github