Written by Craig Swift & Ryan Brandt
Welcome to the getting started Tutorial! This tutorial is designed to walk you through the process of setting up and running your own AutoGPT agent in the Forge environment. Whether you are a seasoned AI developer or just starting out, this guide will equip you with the necessary steps to jumpstart your journey in the world of AI development with AutoGPT.
The Forge serves as a comprehensive template for building your own AutoGPT agent. It not only provides the setting for setting up, creating, and running your agent, but also includes the benchmarking system and the frontend for testing it. We'll touch more on those later! For now just think of the forge as a way to easily generate your boilerplate in a standardized way.
To begin, you need to fork the repository by navigating to the main page of the repository and clicking Fork in the top-right corner.
Follow the on-screen instructions to complete the process.
Next, clone your newly forked repository to your local system. Ensure you have Git installed to proceed with this step. You can download Git from here. Then clone the repo using the following command and the url for your repo. You can find the correct url by clicking on the green Code button on your repos main page.
# replace the url with the one for your forked repo
git clone https://github.com/<YOUR REPO PATH HERE>
Once you have clone the project change your directory to the newly cloned project:
# The name of the directory will match the name you gave your fork. The default is AutoGPT
cd AutoGPT
To set up the project, utilize the ./run setup
command in the terminal. Follow the instructions to install necessary dependencies and set up your GitHub access token.
Choose a suitable name for your agent. It should be unique and descriptive. Examples of valid names include swiftyosgpt, SwiftyosAgent, or swiftyos_agent.
Create your agent template using the command:
./run agent create YOUR_AGENT_NAME
Replacing YOUR_AGENT_NAME with the name you chose in the previous step.
Begin by starting your agent using the command:
./run agent start YOUR_AGENT_NAME
This will initiate the agent on http://localhost:8000/
.
Access the frontend at http://localhost:8000/
and log in using a Google or GitHub account. Once you're logged you'll see the agent tasking interface! However... the agent won't do anything yet. We'll implement the logic for our agent to run tasks in the upcoming tutorial chapters.
When needed, use Ctrl+C to end the session or use the stop command:
./run agent stop
This command forcefully stops the agent. You can also restart it using the start command.
- We've forked the AutoGPT repo and cloned it locally on your machine.
- we connected the library with our personal github access token as part of the setup.
- We've run the agent and its tasking server successfully without an error.
- We've logged into the server site at localhost:8000 using our github account.
Make sure you've completed every step successfully before moving on :).
With our foundation set, you are now ready to build and enhance your agent! The next tutorial will look into the anatomy of an agent and how to add basic functionality.
- Ensure Git is correctly installed before cloning the repository.
- Follow the setup instructions carefully to avoid issues during project setup.
- If encountering issues during agent creation, refer to the guide for naming conventions.
- make sure your github token has the
repo
scopes toggled.
- Repository: A storage space where your project resides.
- Forking: Creating a copy of a repository under your GitHub account.
- Cloning: Making a local copy of a repository on your system.
- Agent: The AutoGPT you will be creating and developing in this project.
- Benchmarking: The process of testing your agent's skills in various categories using the Forge's integrated benchmarking system.
- Forge: The comprehensive template for building your AutoGPT agent, including the setting for setup, creation, running, and benchmarking your agent.
- Frontend: The user interface where you can log in, send tasks to your agent, and view the task history.
This project supports Linux (Debian based), Mac, and Windows Subsystem for Linux (WSL). If you are using a Windows system, you will need to install WSL. You can find the installation instructions for WSL here.