| Reading time: | 10 min |
| Last updated: | 22 Jun 2026 |
| Reading time: |
| 10 min |
| Last updated: |
| 22 Jun 2026 |
| Author: | Rani Chowdary Mandepudi, Arm |
| Official docs: | View |
| Author: |
|
| Official docs: |
| View |
This guide shows you how to install and use the tool with the most common configuration. For advanced options and complete reference information, see the official documentation. Some install guides also include optional next steps to help you explore related workflows or integrations.
Container CLI is an open-source command-line tool from Apple for building and running Arm Linux containers directly on macOS. With Container CLI, you can run containers using lightweight virtual machines without Docker Desktop or full Linux VMs.
The CLI supports the full Open Container Initiative (OCI) workflow: building, running, tagging, and pushing container images.
In this guide, you’ll learn how to install and verify the Container CLI to run Arm Linux containers natively on Apple silicon Macs.
First, confirm you are using an Apple silicon Mac by running:
uname -m
The expected output is:
arm64
Container CLI supports only Apple silicon Macs (M1, M2, M3, and M4).
Check your macOS version:
sw_vers -productVersion
The output is similar to:
26.5.1
You must run macOS 15.0 or later to use the Container CLI.
To install Container CLI, go to the
GitHub Releases page
and download the latest signed .pkg installer.
The following commands use Container CLI version 1.0.0. The same commands work with other versions. Replace the file used in these steps with the file for your version of choice. To find the latest version, see GitHub Releases .
wget https://github.com/apple/container/releases/download/1.0.0/container-1.0.0-installer-signed.pkg
Install the package:
sudo installer -pkg container-1.0.0-installer-signed.pkg -target /
This installs the Container binary at /usr/local/bin/container.
Start the container system service:
container system start
You must start the service to use commands like build, run, or push. It may need to be restarted after rebooting.
The background server process is now running.
Verify the CLI version:
container --version
The output is similar to:
container CLI version 1.0.0 (build: release, commit: ee848e3)
In a working directory, create a file named Dockerfile:
FROM ubuntu:latest
CMD echo -n "Architecture is " && uname -m
This image prints the system architecture when executed.
Run the following to build and tag the container image as uname:
container build -t uname .
The output is similar to:
[+] Building 2.7s (5/5) FINISHED
uname:latest
Run the container to verify it prints the system architecture.
container run --rm uname
The expected output is:
Architecture is aarch64
The --rm flag cleans up the container after it exits.
After the image is built and tested locally, you can push it to a container registry such as Docker Hub. This allows the image to be reused across machines or shared with others.
The following commands are for Docker Hub. The same commands work with any other OCI-compliant registry such as GitHub Container Registry (ghcr.io) or any OCI-compliant registry. Replace docker.io with the appropriate registry hostname.
Tag the image with a registry-compatible name:
container images tag uname docker.io/<your-username>/uname:latest
Replace <your-username> with your Docker Hub username.
Log in to Docker Hub:
container registry login docker.io
Enter your Docker Hub username and password.
Next, upload the tagged image to Docker Hub:
container images push docker.io/<your-username>/uname:latest
To view images:
container images ls
To view running or stopped containers:
container ls
The CLI includes an uninstall script. You can choose whether to keep or delete your container data.
To uninstall and retain user data (images and containers):
uninstall-container.sh -k
The command is useful if you plan to reinstall Container CLI later and want to keep your local container data.
Otherwise, to uninstall and delete all user data:
uninstall-container.sh -d
This removes the CLI and all related images, logs, and metadata.
You’ve now ready to use Container CLI.
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