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Updates to the readme + docs to add info about the newly added auto setup script. Changes to ``new_blocks.md`` and ``installer.md`` are to make netlify CI happy and pass --------- Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
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1.9 KiB
AutoGPT Platform Installer
The AutoGPT Platform provides easy-to-use installers to help you quickly set up the platform on your system. This page covers how to use the installer scripts for both Linux/macOS and Windows.
What the Installer Does
The installer scripts will:
- Check for required prerequisites (Git, Docker, npm)
- Clone the AutoGPT repository
- Set up the backend services using Docker
- Set up the frontend application
- Start both the backend and frontend services
Prerequisites
Before running the installer, make sure you have the following installed:
- Git: For cloning the repository
- Docker: For running the backend services
- Node.js and npm: For the frontend application
Quick One-Liner Installation
For convenience, you can use the following one-liner commands to install AutoGPT Platform:
Linux/macOS
curl -fsSL https://setup.agpt.co/install.sh -o install.sh && bash install.sh
Windows
powershell -c "iwr https://setup.agpt.co/install.bat -o install.bat; ./install.bat"
Manual Installation
If you prefer, you can manually download and run the installer scripts:
- Linux/macOS:
setup-autogpt.sh - Windows:
setup-autogpt.bat
These scripts are located in the autogpt_platform/installer/ directory.
After Installation
Once the installation is complete:
- The backend services will be running in Docker containers
- The frontend application will be available at http://localhost:3000
Stopping the Services
To stop the services, press Ctrl+C in the terminal where the frontend is running, then run:
cd AutoGPT/autogpt_platform
docker compose down
Troubleshooting
If you encounter any issues during installation:
- Make sure all prerequisites are correctly installed
- Check that Docker is running
- Ensure you have a stable internet connection
- Verify you have sufficient permissions to create directories and run Docker