When building virtualized environments for AI agents, we needed a reproducible way to package and distribute macOS VMs. Inspired by projects like dockur/windows (https://github.com/dockur/windows) that pioneered running Windows in Docker, we wanted to create something similar but optimized for Apple Silicon. The existing solutions either didn't support M-series chips or relied on KVM/Intel emulation, which was slow and cumbersome. We realized we could leverage Apple's Virtualization Framework to create a much better experience.
Lumier takes a different approach: it uses Docker as a delivery mechanism (not for isolation) and connects to a lightweight virtualization service (lume) running on your Mac. This creates true hardware-accelerated VMs using Apple's native virtualization capabilities.
With Lumier, you can: - Launch a ready-to-use macOS VM in minutes with zero manual setup - Access your VM through any web browser via VNC - Share files between your host and VM effortlessly - Use persistent storage or ephemeral mode for quick tests - Automate VM startup with custom scripts
All of this works natively on Apple Silicon (M1/M2/M3/M4) - no emulation required.
To get started:
1. Install Docker for Apple Silicon: https://desktop.docker.com/mac/main/arm64/Docker.dmg
2. Install lume background service with our one-liner:
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)"
3. Start a VM (ephemeral mode): docker run -it --rm \
--name lumier-vm \
-p 8006:8006 \
-e VM_NAME=lumier-vm \
-e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \
-e CPU_CORES=4 \
-e RAM_SIZE=8192 \
trycua/lumier:latest
4. Open http://localhost:8006/vnc.html in your browser. The container will generate a unique password for each VM instance - you'll see it in the container logs.For persistent storage (so your changes survive container restarts):
mkdir -p storage docker run -it --rm \ --name lumier-vm \ -p 8006:8006 \ -v $(pwd)/storage:/storage \ -e VM_NAME=lumier-vm \ -e HOST_STORAGE_PATH=$(pwd)/storage \ trycua/lumier:latest
Want to share files with your VM? Just add another volume:
mkdir -p shared docker run ... -v $(pwd)/shared:/shared -e HOST_SHARED_PATH=$(pwd)/shared ...
You can even automate VM startup by placing an on-logon.sh script in shared/lifecycle/.
We're seeing people use Lumier for: - Development and testing environments that need macOS - CI/CD pipelines for Apple platform apps - Disposable macOS instances for security research - Automated UI testing across macOS versions - Running AI agents in isolated environments
Lumier is 100% open-source under the MIT license. We're actively developing it as part of our work on C/ua (https://github.com/trycua/cua), and we'd love your feedback, bug reports, or feature ideas.
We'll be here to answer any technical questions and look forward to your comments!
Currently, lume supports pushing to GitHub Container Registry (GHCR). However, it’s feasible to extend support to any OCI-compatible registry in the future.
Steps to build and push a custom image:
1. Start by creating a new VM or pulling an existing image. Launch the VM, make your desired modifications, and use it as your golden image.
2. Generate a classic access token on GitHub. Then: export GITHUB_USERNAME=<your_github_username> export GITHUB_TOKEN=<your_github_token>
3. Push your custom image: lume push "<VM_NAME_TO_PUSH>" "<IMAGE_NAME>:<TAG>" --registry ghcr.io --organization "<your_org_id>" --additional-tags "<optional_additional_tags>"
Example: lume push "lume_vm" "macos-sequoia-cua:latest" --registry ghcr.io --organization "trycua" --additional-tags "15.2"
Pull your image later with: lume pull "macos-sequoia-cua:latest" --registry ghcr.io --organization "trycua"
There is no mandatory dependency on the Cua-hosted registry - you are free to maintain your own image registry using GHCR or another OCI-compatible alternative (with some extension work).
I'm excited to play with lume! My use case is adding native Mac execution to Dagger (https://dagger.io) :)
The relevant code is here: https://github.com/trycua/cua/blob/main/libs/lume/src/Contai...
And thanks again - really appreciate the interest. I’ll follow up via email, would love to hear more about the Dagger use case and how native Mac execution fits in!