New Modular Project

When the user wants to create a new project, first infer as many options as possible from the user's request (e.g., "new Mojo project" means type=Mojo, "called foo" means name=foo). Then use a structured multiple-choice prompt (not plain text) to gather only the remaining unspecified options in a single interaction. Do NOT ask about options the user has already provided or implied. The options to determine are:

1. Project name — ask if not specified
2. Type of project — Mojo or MAX (infer from context if the user said "Mojo project" or "MAX project")
3. Environment manager — Pixi (recommended) or uv
4. If uv: UV project type — full uv project (uv init + uv add, recommended) or quick uv environment (uv venv + uv pip install, lighter weight)
5. Channel — nightly (latest features, recommended) or stable (production)

Then follow the appropriate section below (Pixi or uv) to initialize the project and choose max or mojo as appropriate. For stable versions in the below examples, mojo will start with a 0. prefix (0.26.1.0.0.0) where max packages will not (26.1.0.0.0).

NOTE: Do not look for or use magic for Mojo or MAX projects, it is no longer supported. Pixi has fully replaced its capabilities.

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Pixi (Recommended)

Pixi manages Python, Mojo, and other dependencies in a reproducible manner inside a controlled environment.

First, determine if pixi is installed. If it is not available for use at the command line, install it using the latest instructions found on https://pixi.prefix.dev/latest/#installation

You may need to place the pixi tool in the local shell environment after installation if it had not already been installed.

Nightly

# New project
pixi init [PROJECT] \
  -c https://conda.modular.com/max-nightly/ -c conda-forge \
  && cd [PROJECT]
pixi add [max / mojo]
pixi shell

# Existing project - add to pixi.toml channels first:
# [workspace]
# channels = ["https://conda.modular.com/max-nightly/", "conda-forge"]
pixi add [max / mojo]

Stable (v26.1.0.0.0)

# New project
pixi init [PROJECT] \
  -c https://conda.modular.com/max/ -c conda-forge \
  && cd [PROJECT]
pixi add "[max / mojo]==0.26.1.0.0.0"
pixi shell

# Existing project
pixi add "[max / mojo]==0.26.1.0.0.0"

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uv

uv is a fast and very popular package manager, familiar to developers coming from a Python background. It also works well with Mojo projects.

Nightly (project)

uv init [PROJECT] && cd [PROJECT]
uv add [max / mojo] \
  --index https://whl.modular.com/nightly/simple/ \
  --prerelease allow

Stable (project)

uv init [PROJECT] && cd [PROJECT]
uv add [max / mojo] \
  --extra-index-url https://modular.gateway.scarf.sh/simple/

Nightly (quick environment)

mkdir [PROJECT] && cd [PROJECT]
uv venv
uv pip install [max / mojo] \
  --index https://whl.modular.com/nightly/simple/ \
  --prerelease allow

Stable (quick environment)

mkdir [PROJECT] && cd [PROJECT]
uv venv
uv pip install [max / mojo] \
  --extra-index-url https://modular.gateway.scarf.sh/simple/

When using uv, you can use max or mojo directly by working within the project environment:

 source .venv/bin/activate

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pip

Standard Python package manager.

Nightly

python3 -m venv .venv && source .venv/bin/activate
pip install --pre [max / mojo] \
  --index https://whl.modular.com/nightly/simple/

Stable

python3 -m venv .venv && source .venv/bin/activate
pip install [max / mojo] \
  --extra-index-url https://modular.gateway.scarf.sh/simple/

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Conda

For conda/mamba users.

Nightly

conda install -c conda-forge \
  -c https://conda.modular.com/max-nightly/ [max / mojo]

Stable (v26.1.0.0.0)

conda install -c conda-forge \
  -c https://conda.modular.com/max/ "[max / mojo]==0.26.1.0.0.0"

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Version Alignment with MAX

If using MAX with custom Mojo kernels, versions must match:

# Check alignment
uv pip show mojo | grep Version   # e.g., 0.26.2
pixi run mojo --version           # Must match major.minor (e.g., 0.26.2)

Mismatched versions cause kernel compilation failures. Always use the same channel (stable or nightly) for both.

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References

• Mojo Installation Guide
• Mojo Stable Docs
• Mojo Nightly Docs

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Harmeet10000
• Source: Harmeet10000/skills
• License: MIT

Install and usage instructions live in the source repository linked above.