Intermediate • 10 Minute Setup

Docker Agents (Local)
Perfect Environment Isolation

Run each AI agent in its own Docker container. Zero dependency conflicts, reproducible environments, and instant cleanup. All on your local machine.

Get Started with Docker See How It Works

Why Docker Containers?

Perfect isolation for professional development

Perfect Isolation

Each agent gets its own filesystem, environment variables, and dependencies. No interference, no conflicts.

Zero Dependency Conflicts

Run Node 18 in one container, Node 20 in another. Different Python versions, different tools—all coexisting peacefully.

Instant Cleanup

Done with a project? Delete the container. All dependencies, cache files, and temporary data vanish instantly.

Reproducible Environments

Define your environment in a Dockerfile. Share it with teammates. Everyone gets the exact same setup.

Resource Control

Limit CPU, memory, and disk usage per container. Prevent one runaway agent from consuming all resources.

Easy Rollback

Something broke? Roll back to a previous container image in seconds. Experiment fearlessly with instant snapshots.

How It Works

Four steps to containerized AI agents

1

Install Docker Desktop

Download and install Docker Desktop for your platform. Then install AI Maestro: 

git clone https://github.com/\
23blocks-OS/ai-maestro.git
cd ai-maestro
./install.sh
2

Build Agent Image

Create a Dockerfile for your AI agent with all needed dependencies: 

FROM node:20-slim
RUN apt-get update && \
    apt-get install -y tmux git
RUN npm install -g claude
WORKDIR /workspace
CMD ["tmux", "new", "-s", "agent"]
3

Launch Containers

Start your containerized agents with AI Maestro: 

docker run -d --name frontend-agent \
  -v $(pwd)/frontend:/workspace \
  my-ai-agent:latest

# Repeat for each project
4

Manage from Dashboard

AI Maestro auto-discovers all Docker containers. Click any container to access its terminal, view logs, or manage resources.

Perfect For

📦 Multi-Project Development

Working on frontend (React 18), backend (Node 16), and legacy app (Node 12) simultaneously? Each gets its own container with the exact environment it needs.

🧪 Testing New Tools

Want to try that new AI coding assistant? Spin up a container, experiment, and delete it. Zero risk to your host machine.

👥 Client Projects

Maintain separate containers for each client. No dependency leakage, complete isolation, and instant environment reproduction.

✨ Clean Machine Enthusiasts

Hate cluttering your host machine with dependencies? Keep everything in containers. Your macOS/Linux stays pristine.

Start Using Docker
For Perfect Isolation

Set up containerized AI agents in 10 minutes. Works on macOS, Linux, and Windows (WSL2).

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