Get started with Mojo🔥

Get the Mojo SDK or try coding in the Mojo Playground.

Mojo is now available for local development!

Download Now

The Mojo SDK is currently available for Ubuntu Linux systems and macOS systems running on Apple silicon. Support for Windows is coming soon. You can also develop from Windows or Intel macOS using a container or remote Linux system. Alternatively, you can also experiment with Mojo using our web-based Mojo Playground.

Get the Mojo SDK

The Mojo SDK includes everything you need for local Mojo development, including the Mojo standard library and the Mojo command-line interface (CLI). The Mojo CLI can start a REPL programming environment, compile and run Mojo source files, format source files, and more.

We’ve also published a Mojo extension for Visual Studio Code to provide a first-class developer experience with features like code completion, quick fixes, and hover help for Mojo APIs.

System requirements

To use the Mojo SDK, you need a system that meets these specifications:


  • Ubuntu 20.04/22.04 LTS
  • x86-64 CPU (with SSE4.2 or newer) and a minimum of 8 GiB memory
  • Python 3.8 - 3.11
  • g++ or clang++ C++ compiler


  • Apple silicon (M1 or M2 processor)
  • macOS Monterey (12) or later
  • Python 3.8 - 3.11
  • Command-line tools for Xcode, or Xcode

Support for Windows will be added in a future release.

Install Mojo

The Mojo SDK is available through the Modular CLI tool, which works like a package manager to install and update Mojo. Use the following link to log into the Modular developer console, where you can get the Modular CLI and then install Mojo:

Download Now

Then get started with Hello, world!

Note: To help us improve Mojo, we collect some basic system information and crash reports. Learn more.

Update Mojo

Mojo is a work in progress and we will release regular updates to the Mojo language and SDK tools. For information about each release, see the Mojo changelog.

To check your current Mojo version, use the --version option:

mojo --version

To update to the latest Mojo version, use the modular update command:

modular update mojo

Update the Modular CLI

We may also release updates to the modular tool. Run the following commands to update the CLI on your system.


sudo apt update

sudo apt install modular


brew update

brew upgrade modular

Develop in the Mojo Playground

Instead of downloading the Mojo SDK, you can also experiment with Mojo in our hosted Jupyter notebook environment called Mojo Playground. This is a hosted version of JupyterLab that’s running our latest Mojo kernel.

To get access, just log in to the Mojo Playground here.

What to expect

  • The Mojo Playground is a JupyterHub environment in which you get a private volume associated with your account, so you can create your own notebooks and they’ll be saved across sessions.

  • We’ve included a handful of notebooks to show you Mojo basics and demonstrate its capabilities.

  • The number of vCPU cores available in your cloud instance may vary, so baseline performance is not representative of the language. However, as you will see in the included Matmul.ipynb notebook, Mojo’s relative performance over Python is significant.

  • There might be some bugs. Please report issues and feedback on GitHub.


  • If you want to keep any edits to the included notebooks, rename the notebook files. These files will reset upon any server refresh or update, sorry. So if you rename the files, your changes will be safe.

  • You can use %%python at the top of a notebook cell and write normal Python code. Variables, functions, and imports defined in a Python cell are available for access in subsequent Mojo cells.


  • Did we mention that the included notebooks will lose your changes?
    Rename the files if you want to save your changes.

  • The Mojo environment does not have network access, so you cannot install other tools or Python packages. However, we’ve included a variety of popular Python packages, such as numpy, pandas, and matplotlib (see how to import Python modules).

  • Redefining implicit variables is not supported (variables without a let or var in front). If you’d like to redefine a variable across notebook cells, you must introduce the variable with var (let variables are immutable).

  • You can’t use global variables inside functions—they’re only visible to other global variables.

  • For a longer list of things that don’t work yet or have pain-points, see the Mojo roadmap and sharp edges.