Colima

Colima is a free, MIT-licensed open-source project for running container runtimes on macOS and Linux. It supports Docker, containerd, Kubernetes, and Incus, with Docker compatibility for existing Docker workflows and tools. Users can start a local, single-node k3s Kubernetes cluster, use nerdctl with containerd, and allocate CPU, memory, and disk resources to instances. Multiple isolated profiles can run with different configurations. Colima also documents GPU-accelerated AI workloads on Apple Silicon using the Krunkit VM type. Those workloads require Apple Silicon, macOS 13 or newer, and Krunkit; at least 8 GB of RAM is recommended. The documented model runners support Docker AI Registry and HuggingFace, while Ramalama also supports the Ollama registry. AI containers are isolated from the host filesystem, other containers, and network access unless network access is explicitly enabled. Incus virtual machines are supported only on m3 or newer Apple Silicon devices. Community support is available through GitHub channels and CNCF Slack.

Colima brings several container runtimes and a local single-node Kubernetes cluster to macOS and Linux. Check the Apple Silicon and macOS requirements before relying on its documented AI workloads or Incus virtual machines.

Colima may suit developers who want container runtimes or a local Kubernetes cluster on macOS or Linux. Its AI workload options are for users with Apple Silicon and macOS 13 or newer.

Colima is a free, open-source tool for running container runtimes on macOS and Linux. It is best for developers who want local Docker-compatible workflows, containerd, or Kubernetes without a paid desktop app. Its range of runtimes and configurable profiles make it versatile, though its Kubernetes cluster is limited to one node.

Overview

Colima brings Docker, containerd, Kubernetes, and Incus into a local environment. Docker compatibility lets existing Docker workflows and tools carry over, while nerdctl gives containerd users a familiar command-line interface. Sensible defaults are intended to keep CPU use in check, and controls for CPU, memory, and disk let users tune each instance.

Multiple isolated profiles can run simultaneously with different configurations, making it easier to keep project environments separate. A default VM starts with 2 CPUs, 2 GiB of memory, and 100 GiB of storage. Local registry and Compose support round out the everyday container workflow.

Key features

Runtime choice and Kubernetes

A single command starts a local k3s cluster, and users can select an exact K3s version through a command-line option or configuration field. That is useful for development against a particular Kubernetes version, but the single-node cluster cannot reproduce multi-node behavior. Colima also lacks IDE integration, so developers who depend on an integrated workflow should look elsewhere.

Incus and AI workloads

Incus support extends Colima beyond application containers to system containers and virtual machines. The virtual machine feature through Incus is limited to m3 or newer Apple Silicon devices, which narrows its appeal for older Apple hardware and Linux users.

On Apple Silicon, Colima can run GPU-accelerated AI workloads in a Krunkit VM. Documented model runners support Docker AI Registry and HuggingFace, and Ramalama also supports Ollama registries. Containers are isolated from the host filesystem, other containers, and network access unless network access is explicitly enabled. These workloads require macOS 13 or newer and at least 8 GB of RAM is recommended, so this is a focused option for compatible Macs rather than a general AI runtime across Colima's supported platforms.

Pricing

Colima is free: its sole plan costs nothing and includes container runtimes on macOS and Linux. The project is open source under the MIT License, with no trial or paid tier to weigh against the free option. Community support is available through GitHub Discussions and Issues, announcements, and the #colima channel in CNCF Slack.

Platforms

Colima runs on macOS and Linux, with installation options including Homebrew and manual installation. Its GPU-accelerated AI workloads require Apple Silicon and macOS 13 or newer; Incus virtual machines require m3 or newer Apple Silicon. Local Kubernetes is single-node, and multi-node clusters are not supported.

Who it's for

Colima fits developers who want a free local environment that can preserve Docker workflows while also offering containerd, k3s, or Incus. Its separate profiles and resource controls are especially useful when projects need different runtime configurations on the same machine. It is less suited to teams that need multi-node Kubernetes, IDE integration, or commercial support.

Pros and cons

Pros

• Broad runtime support: Docker, containerd, Kubernetes, and Incus cover several local development needs in one project.
• Docker workflow compatibility: Existing Docker tools and workflows can continue without changes.
• Configurable, isolated profiles: Separate instances can run at once with distinct settings and resource allocations.
• Free and MIT licensed: There is no paid plan to unlock the listed runtime capabilities.
• Local AI option: Compatible Apple Silicon Macs can run GPU-accelerated workloads with explicit isolation controls.

Cons

• One-node Kubernetes only: It cannot model multi-node cluster behavior.
• Hardware and OS constraints: AI workloads need Apple Silicon and macOS 13 or newer; Incus virtual machines need m3 or newer Apple Silicon.
• No IDE integration: Developers seeking an integrated development environment will need a separate tool.
• Community support: Support runs through community channels rather than a commercial support plan.

Alternatives

Docker Desktop is the alternative to consider for a broader platform range that includes Windows and web access, plus a freemium plan with Docker Hub, Scout, and Debug. kind is a free open-source option for readers focused on running Kubernetes locally across Linux, macOS, Windows, and self-hosted setups. Coasts is another free, local, open-source choice, with Linux, macOS, and self-hosted platforms.

Container Desktop offers a free, MIT-licensed option across Linux, macOS, and Windows. Tilt is a free, Apache-2.0 open-source alternative for Linux, macOS, and Windows. Kool suits readers considering a freemium option with a free BYOC tier capped at one cluster, node, environment, and app, or a managed cloud plan starting at $5 a month. Tokaido is a free open-source option for Linux, macOS, and Windows. Laravel Pint is a free MIT-licensed PHP code style fixer for macOS and self-hosted use.

Browse Container Development Environments, Local Kubernetes Tools, and Container Runtime Software for more options.

Verdict

Choose Colima if you want a free, flexible local container setup with Docker compatibility, containerd, and a one-command k3s cluster. Its runtime breadth and isolated profiles are compelling for individual developers, but multi-node Kubernetes, IDE integration, and the hardware limits on Incus and AI workloads are sound reasons to look elsewhere.