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Persistent Linux workspaces for coding agents
`container` gives each project its own Docker or Podman environment with tools and harnesses already installed. The workspace persists between sessions, so your agent keeps the same packages, configuration, and mounted project state instead of starting over each time.

Builders who want their agent to work inside a persistent Linux workspace instead of a fresh shell every session.
You can keep project-specific tools, settings, and agent context in one reusable workspace across sessions.
What it does
Project-scoped workspaces
Creates a separate container for each project and mounts the project at `/root/<project-name>`.
Persistent environment
Keeps installed packages and configuration between sessions so work does not reset every time.
Docker or Podman support
Runs on either Docker or Podman and works on Windows, macOS, and Linux.
Guided onboarding
`container init` walks you through harnesses, tools, runtime, and mounts before the first image build.
Workspace management commands
Provides commands like `container run`, `container list`, `container stop`, `container remove`, and `container settings`.
Agent skill
Includes a portable skill in `skills/container/SKILL.md` so an agent can help configure Container from the host.
How to get it
- 1macOS and Linux
curl -fsSL https://container.aerovato.com/install.sh | sh
- 2Windows PowerShell
irm https://container.aerovato.com/install.ps1 | iex
- 3Alternatively, install through npm
npm install -g @aerovato/container
- 4Run the guided onboarding flow
container init
- 5Navigate to a project and start its workspace
cd /path/to/project container
- 6Start your preferred coding agent and work normally
opencode npm install <package>
README
Built with Operator Memory
container
Persistent Linux workspaces for software development.
container gives each project its own Docker or Podman environment, with coding harnesses and development tools already installed. Workspaces persist across sessions, including packages and configuration. Agents are isolated to that project with no access to the rest of your system.
The same Linux environment runs on Windows, macOS, and Linux. Your container is local and open source, does not require an account, and is yours to customize.
Website · Agent Skill · 中文
Quickstart
Requirements
- Windows, macOS, or Linux
- Docker or Podman
Install
macOS and Linux:
curl -fsSL https://container.aerovato.com/install.sh | sh
Windows PowerShell:
irm https://container.aerovato.com/install.ps1 | iex
Alternatively, install through npm:
npm install -g @aerovato/container
Configure
Run the guided onboarding flow:
container init
Choose your coding harnesses, development tools, runtime, and mounts, then accept the initial image build.
Run
Navigate to a project and start its workspace:
cd /path/to/project
container
Your project is mounted at /root/<project-name>. The container and anything installed inside it persist between sessions.
Start your preferred coding agent and work normally:
opencode
npm install <package>
Multiple terminals can enter the same container.
Customization
container is infinitely customizable. Add packages and setup commands to the user layer:
~/.code-container/Dockerfile.User
Then rebuild it:
container build user
Common settings like tools and harnesses can be configured via container settings. More complex options, including runtime flags, mounts, and even base-image settings can be configured through ~/.code-container/settings.json.
See Configuration for settings details and Permissions for hands-off harness permissions.
Common Commands
container # Open the current project's workspace
container run /path/to/project # Open a specific project
container run /path -- -p 8080:80 # Pass runtime flags
container list # List managed containers
container stop # Stop the current workspace
container remove # Remove the current workspace
container settings # Change common settings
container init # Re-run onboarding
Rebuild the shared image when updating tools or customizations:
container build
container build tools
container build harness
container build user
Agent Skill
Want an agent to configure Container for you? Install the portable Container skill on the host, then ask your agent to set up packages, harnesses, tools, mounts, permissions, or migrations.
npx skills add aerovato/container --skill container
npx skills add aerovato/container --skill container --global # All projects
The skill is host-side because agents inside managed containers cannot access Container's host configuration.
Security
container limits what an agent can access, but it does not make the agent trusted.
The current project is mounted read-write and can be changed or deleted. Enabled configurations and optional credentials may also be available inside the container. Containers retain network access, and container does not protect against prompt injection or agent misalignment.
Keep important work under version control and only mount resources the agent needs.
Built with Operator
This repository is maintained with Operator Memory — durable, agent-maintained documentation that lets AI agents work on the project with full context across sessions. The published brain lives in .operator-shared/.
To work on Container with the same context, we recommend installing Operator Memory.
License
Files in the repo
- __mocks__
- .github
- .husky
- .operator-shared
- resources
- scripts
- skills
- src
- tests
- website
- .gitignore
- .ignore
- .prettierignore
- .prettierrc
- AGENTS.md
- Changelog.md
- CLAUDE.md
- eslint.config.mjs
- LICENSE.md
- package-lock.json
- package.json
- README.cn.md
- README.md
- tsconfig.json
- tsconfig.test.json
- vitest.config.ts
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