魔术助手

Deploy anywhere

If you choose to create AI agents instead of full stack app, something the system is particularly well suited for, you can choose to deliver these as password protected AI expert systems, or embeddable AI chatbots, embedded on some website. Below is our AI chatbot. You can try it here

Getting started

The easiest way to get started is to use Docker and create a "docker-compose.yaml" file with the following content;

version: "3.8"

services:
  backend:
    image: servergardens/magic-backend:latest
    platform: linux/amd64
    container_name: magic_backend
    restart: unless-stopped

    ports:
      - "4444:4444"

    volumes:
      - magic_files_etc:/magic/files/etc
      - magic_files_data:/magic/files/data
      - magic_files_config:/magic/files/config
      - magic_files_modules:/magic/files/modules

  frontend:
    image: servergardens/magic-frontend:latest
    container_name: magic_frontend
    restart: unless-stopped

    depends_on:
      - backend

    ports:
      - "5555:80"

volumes:
  magic_files_etc:
  magic_files_data:
  magic_files_config:
  magic_files_modules:

Save it somewhere, and execute docker compose up or something, visit localhost:5555, login with "root" / "root", and configure the system. You can read more here for alternatives, such as running the codebase directly on your own machine.

You can also watch me guide you through the setup process here.

Bring your own OpenAI API key

To use the system you'll need an OpenAI API key. You can create one here.

NOTICE - To gain access to gpt-5.4, you might have to deposit $51 into your OpenAI API account. Magic depends upon OpenAI, and without depositing money into OpenAI, you won't get access to gpt-5.4, which is the default model in Magic for "vibe coding". You might get GPT-4.1 to work during vibe coding, but 5.4 is much better!

If you are absolutely allergic to OpenAI, there are Ollama and HuggingFace plugins for the system, allowing you to "override" the inference functions with Ollama or HuggingFace models and endpoints - But embeddings can only be created with OpenAI's APIs.

Git integration

Contrary to other vibe coding tools, Magic Cloud was built for software developers from day 1. That means among other things it's got Git integrated as an integral part of the platform. This allows you to setup any amount of pipelines you wish, using Git for code, or GitHub workflows for deployments.

1. Create a new project
2. Vibe code all the tools and even your GitHub workflows if you wish
3. Commit and push

Below is how the integrated AI agents objectively compares Magic Cloud to Lovable and Bolt44.

Python, Terminal, and C# integration

Generate and execute Python scripts on the fly, and have the LLM use these as "tools". In addition, you can use BASH and the underlying terminal, and you can create Hyperlambda extension keywords using C#.

Since Magic is running in a protected service account by default, this is actually quite safe - However, obviously do not open up endpoints allowing 3rd party users to generate and execute arbitrary Python code.

You can also persist Python scripts, and reference these later as "tools", permanently widening the capabilities of AI agents, or for that matter integrate Python execution into your endpoints and services.

NOTICE - You obviously have to be logged in as root to generate and execute both Python scripts, Terminal scripts, and to create C# extensions. Magic has a unique security model however, that eliminates entire axioms of security-related "holes". But you still need to keep your brain. Magic is not (pun!) a "magic pill".