Lift-off with one command
Start an AI coding session from any project in seconds.
container gives your agents practical,
persistent, and safe workspaces for AI coding.
sudo apt install texlive-fullrm -rf node_modulesnpm create vite@latestWork with agents in a real Linux environment while keeping
destructive actions scoped to the project container.
Start an AI coding session from any project in seconds.
Each project gets its own contained workspace, keeping agent activity scoped and separate.
Choose your harnesses, tools, and defaults through a guided setup instead of wiring everything by hand.
Keep your Linux workspace, installed tools, and runtime state between sessions.
Make your container yours. Bring your own harness,
tools, configs, distro, and more.
Run Claude Code, OpenCode, Codex, Pi, and more.
Select useful tools during setup so your agent is ready to work.
Extend the container with your own packages, commands, and setup scripts.
Share common settings across workspaces without copying files by hand.
containerInstall container, choose your project, and start an AI coding session in minutes.
containerInstall the standalone Container CLI with PowerShell.
irm https://container.aerovato.com/install.ps1 | iexInstall and launch Docker Desktop. Finish its initial setup before continuing.
winget install --exact --id Docker.DockerDesktop
Start-Process "$Env:ProgramFiles\Docker\Docker\Docker Desktop.exe"Complete guided onboarding, choose your tools, and accept the initial image build.
container initOpen your project directory and start an isolated coding workspace.
cd C:\path\to\project
containercontainerInstall the standalone Container CLI and add it to the current shell path.
curl -fsSL https://container.aerovato.com/install.sh | sh
export PATH="$HOME/.code-container/bin:$PATH"Install and launch Docker Desktop. Finish its initial setup before continuing.
brew install --cask docker
open -a DockerComplete guided onboarding, choose your tools, and accept the initial image build.
container initOpen your project directory and start an isolated coding workspace.
cd /path/to/project
containercontainerInstall the standalone Container CLI and add it to the current shell path.
curl -fsSL https://container.aerovato.com/install.sh | sh
export PATH="$HOME/.code-container/bin:$PATH"Install the recommended Linux runtime with apt on Debian or Ubuntu. Other distributions should use their system package manager.
sudo apt-get update
sudo apt-get install -y podmanComplete guided onboarding, choose your tools, and accept the initial image build.
container initOpen your project directory and start an isolated coding workspace.
cd /path/to/project
container