This guide walks you through installing MagenticLite. It covers macOS and Windows (WSL); Linux is similar to the Windows/WSL path.
| Platform | Status | Notes |
|---|---|---|
| macOS ARM64 | ✅ tested | Apple Silicon. |
| Windows x64 + WSL2 | ✅ tested | Run everything inside the Ubuntu shell. Requires KVM enabled. |
| Linux x64 (native) | Same path as WSL2 minus the wsl --install step. |
|
| Windows ARM64 | ❌ not supported | Not currently supported. Support may be added in a future release. |
Pick the section that matches your machine and follow it end to end. The "Install and run" steps at the bottom apply to both platforms.
Tested on macOS ARM64 (Apple Silicon).
# Install Homebrew if you don't have it
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
# If you just installed Homebrew, add it to your shell PATH
# (Apple Silicon path; for Intel Macs use /usr/local/bin/brew)
eval "$(/opt/homebrew/bin/brew shellenv)"
# Python 3.12+
brew install python@3.12
# uv (Python package manager)
curl -LsSf https://astral.sh/uv/install.sh | sh
source $HOME/.local/bin/env # add uv to PATH for this shellSkip ahead to Install and run MagenticLite.
Tested on Windows 11 x64 with WSL2 + Ubuntu.
In PowerShell as Administrator:
wsl --installReboot if prompted, then launch Ubuntu — either from the Start menu, or by running wsl (or ubuntu) in a new PowerShell window — and complete the first-time user setup. Every command from here on runs inside the Ubuntu (WSL) shell.
sudo usermod -aG kvm $USERClose and reopen the WSL terminal for the group change to take effect.
KVM gives the Quicksand VM hardware acceleration. Without it the VM falls back to software emulation, which is significantly slower.
# uv (Python package manager) — installed first because we use uv to manage Python
curl -LsSf https://astral.sh/uv/install.sh | sh
source $HOME/.local/bin/env # add uv to PATH for this shell
# Python 3.12 (managed by uv; the apt python3.12 package isn't available on Ubuntu 22.04)
uv python install 3.12Once the platform-specific prerequisites are in place, the install + run steps are the same on both platforms.
# Create a project directory
mkdir magentic-lite && cd magentic-lite
# Create and activate a virtual environment
uv venv --python=3.12 --seed .venv
source .venv/bin/activate
# Install the latest 0.2.x release from PyPI
uv pip install "magentic_ui>=0.2.0"
# Run
magentic-ui --port 8081Then visit http://127.0.0.1:8081/ in your browser.
For subsequent runs:
cd magentic-lite
source .venv/bin/activate
magentic-ui --port 8081Only one MagenticLite instance can run at a time on the same port (default 8081).
If you previously ran a 0.1.x release of Magentic-UI on the same machine, two things to know:
-
Pin the version when you install. PyPI still hosts the 0.1.x line under the same
magentic_uipackage name, so a plainuv pip install magentic_uimay pick up an older release. Pin to a 0.2.x version explicitly:uv pip install "magentic_ui>=0.2.0" -
Use a fresh data directory. MagenticLite (0.2.x) does not migrate the 0.1.x database. To keep the two installs side-by-side, point this run at a different
--appdir:magentic-ui --port 8081 --appdir ~/.magentic-liteWithout
--appdir, MagenticLite uses the same default data directory as 1.0, which can lead to confusing state.
MagenticLite is designed to be installed and run locally on your own machine by the same person who uses it. We don't recommend hosting it as a shared service for other users:
- Concurrent multi-user sessions weren't a design goal, so the UX degrades when several people share one instance.
- The app exposes host-level capabilities to whoever can reach it — most notably the file-system mounting controls used for browser uploads and downloads. Running it as a multi-user service effectively grants every user of that service the same file-system access as the host account.
If you do choose to host it, treat the resulting URL as you would shell access to the host machine.
- Model Hosting Guide — get a model endpoint to point MagenticLite at.
- Configuration — sandbox, agent mode, and tool approval policies.
- Troubleshooting — common issues and fixes.