Colima — Container Runtimes on macOS & Linux in a Lima VM

What it is

Colima provides minimal-setup container and Kubernetes runtimes on macOS and Linux using a Lima VM. It offers a genuine Docker Desktop alternative without the licensing fees that Docker Desktop requires for commercial use. Colima manages a lightweight Linux VM, connects the Docker CLI to it, and optionally bundles a single-node Kubernetes cluster.

Colima targets developers and teams on macOS who need Docker containers for local development but want to avoid Docker Desktop's subscription model. It also works on Linux for users who prefer VM-based container isolation.

How it saves time or tokens

Colima installs with a single Homebrew command and starts in seconds. It uses the same Docker CLI and Docker Compose commands you already know, so there is no workflow change. For teams, switching from Docker Desktop eliminates per-seat licensing costs. The lightweight Lima VM uses fewer resources than Docker Desktop's built-in VM, leaving more memory for your containers.

How to use

1. Install Colima and the Docker CLI:

brew install colima docker

1. Start the VM with default settings (2 CPU, 2 GiB RAM, 60 GiB disk):

colima start

1. Run containers normally:

docker run --rm hello-world
docker compose up -d

1. Optionally start with Kubernetes:

colima start --kubernetes
kubectl get nodes

Example

# Custom VM configuration for heavy workloads
colima start --cpu 4 --memory 8 --disk 100

# Check status
colima status

# SSH into the VM
colima ssh

# Stop and free resources
colima stop

# Delete the VM entirely
colima delete

Related on TokRepo

• DevOps Tools — Container and infrastructure tools for development teams
• Self-Hosted Tools — Run your own infrastructure without SaaS dependencies

This tool integrates with standard development workflows and requires minimal configuration to get started. It is available as open-source software with documentation and community support through the official repository. The project follows semantic versioning for stable releases.

For teams evaluating this tool, the key advantage is reducing manual work in repetitive tasks. The automation provided by the built-in features means less custom code to maintain and fewer integration points to manage. This translates directly to lower maintenance costs and faster iteration cycles.

Common pitfalls

• File system mounts between macOS and the Lima VM can be slow for large projects; use Colima's --mount-type virtiofs flag for better I/O performance on Apple Silicon Macs.
• The default 2 GiB memory allocation is insufficient for running multiple containers or Kubernetes; increase it with --memory 8 or higher at start time.
• Colima and Docker Desktop cannot run simultaneously; stop Docker Desktop before starting Colima to avoid socket conflicts.