SuperAGI Tutorial: Generate Codebase and Push to GitHub

What is SuperAGI?

SuperAGI is an innovative open-source framework designed for developers aiming to build, manage, and run autonomous AI agents swiftly and reliably. With SuperAGI, you can create agents capable of executing a variety of tasks, including coding, testing, deployment, and much more. In this tutorial, we will guide you through the process of using SuperAGI to generate a codebase and push it to GitHub using the Coding + GitHub Push Agent template.

Understanding Agents in SuperAGI

SuperAGI agents are sophisticated systems that utilize large language models (LLMs) to operate independently. These agents carry out tasks, make informed decisions, and interact with various toolkits based on the goals, instructions, resources, and constraints provided by users. Our tutorial will employ an agent template to illustrate the process.

What are Agent Templates?

An agent template is a predefined collection of characteristics, behaviors, and capabilities to facilitate the creation of new agents. These templates enable developers to swiftly design agents with common features without the need for extensive manual configurations.

Each agent template available in the marketplace caters to specific scenarios and includes:

• Agent Name: A unique identifier for the template.
• Description: A summary of the agent's functionalities and its intended use.
• Goals: The primary objectives the agent is programmed to achieve.
• Instructions: A set of operational guidelines for the agent.
• Tool: Software or tools intended for use by the agent.
• Agent Type: Defines the type of agent - Task Queue Agent, Dynamic Task Agent, or Fixed Action Agent.
• Models: Specifies the model the agent is designed to work with, although compatibility with other models exists.

Prerequisites

Before we begin, ensure you have the following:

1. A GitHub account. If you don’t have one, sign up for free here.
2. Your GitHub Access Token. Create a GitHub access token with necessary permissions by following these steps:
• Go to Settings in your GitHub Account and then to Developer Settings.
• Click on Personal access tokens and then Tokens (classic).
• Click on Generate new token. Choose Generate new token (classic).
• Write a note regarding the token’s purpose and select an expiration date.
• Select all necessary scopes for required permissions.
• Click on Generate New Token.
3. Copy the token and store it in the config.yaml file. Set GITHUB_ACCESS_TOKEN to the copied value.
4. Set your Github User Name as the value of GITHUB_USERNAME, which can be found on your GitHub Profile.
5. Ensure SuperAGI is installed on your machine. Follow installation instructions here.

In this tutorial, we will use Python and VS Code; however, you can opt for any programming language and editor of your choosing.

Creating an Agent

This tutorial will focus on setting up the Coding + Github Push Agent template in detail.

1. Navigate to localhost:3000. You should see the interface.
2. Access the Marketplace and select the Coding + Github Push Agent template.
3. Install the template.
4. Create a new Agent and select the Coding + Github Push Agent template.
5. Configure the Agent with your preferred settings, or utilize the defaults. Remember to include your GitHub Repository link in the third goal, as it will be used for this tutorial.
6. Click on Create and Run to initiate the process. The agent will generate the code and push it to GitHub. Sit back, grab a coffee, and let your agent get to work!

Behind the Scenes of the Agent

The agent operates through the following steps:

• The Agent Receives Goals: The agent gets input in the form of goals, representing the desired outcomes or objectives.
• Processing Goals: Received goals are sent to the "thinking tool," which processes these inputs to formulate a response or action plan.
• Generating Inferences: The thinking tool produces several outputs, including:
• Thought: Insights or considerations generated based on the goals.
• Plan: An outlined course of action detailing the steps to accomplish the goals.
• Criticism: Constructive evaluation of the goals or the generated plan.
• Tool: A specific tool selected for achieving the goals.
• Executing the Tool: The determined tool is executed based on several predefined criteria.
• Completion of One Iteration: The execution of the chosen tool signifies one complete cycle of operation, often referred to as an "iteration," progressing towards the original goals.

In summary, SuperAGI agents receive goals, process them through a thinking tool, and then take action based on the insights generated. This structured approach results in multiple iterations focused on achieving the set objectives.

Conclusion

With SuperAGI, creating autonomous agents to handle various tasks efficiently is easier than ever. By utilizing templates, developers can rapidly set up and run agents tailored to their specific needs. Embrace this powerful framework for a more streamlined development process!