SuperAGI Tutorial: Generate a Codebase & Push to GitHub

What is SuperAGI?

SuperAGI is an open-source framework specifically designed to empower developers in building, managing, and operating autonomous AI agents effectively and promptly. With SuperAGI at your disposal, you can effortlessly create agents capable of executing a wide range of tasks, including coding, testing, deployment, and beyond. This tutorial delves into the specifics of leveraging SuperAGI to generate a comprehensive codebase and seamlessly push it to GitHub using the specialized Coding + GitHub Push Agent template.

Understanding Agents in SuperAGI

In SuperAGI, agents are sophisticated systems that utilize large language models (LLMs) to function independently. They conduct tasks, make informed decisions, and interact dynamically with various toolkits. An essential aspect of their operation is the user's input, which includes goals, instructions, resources, and constraints that drive the agents towards achieving desired outcomes. Throughout this tutorial, we will focus on a predefined agent template.

What are Agent Templates?

Agent templates serve as a predefined set of attributes, behaviors, and functionalities that facilitate the creation of new agents. By employing these templates, developers can efficiently design agents with similar features without needing intricate programming for each new model.

Every agent template available in the marketplace is tailored to address specific scenarios and includes the following elements:

• Agent Name: A unique identifier for each template.
• Description: A concise overview explaining the agent's functionality and its potential use cases.
• Goals: Core objectives that the agent is programmed to achieve.
• Instructions: A set of operational guidelines that the agent is tasked with following.
• Tool: The tools or software with which the agent is designed to interact.
• Agent Type: Indicates the type of agent required for the template - options include Task Queue Agent, Dynamic Task Agent, or Fixed Action Agent.
• Models: The specific model with which the agent operates best, though it can interact with others too.

Prerequisites

Before we dive into the tutorial, please ensure you have the following:

1. A GitHub account. If you don't have one, signing up is free.
2. Your GitHub Access Token: Generate one to grant the necessary permissions for accessing and managing repositories. Here's how you can do that:
1. Navigate to Settings in your GitHub Account.
2. Select Developer Settings.
3. Click on Personal access tokens and then choose Tokens (classic).
4. Click Generate new token and fill out the necessary details, ensuring you select all pertinent scopes.
5. Copy the generated token and save it in your config.yaml file, ensuring you assign the value to GITHUB_ACCESS_TOKEN.
6. Set your GitHub Username as the value for GITHUB_USERNAME, which can be found on your GitHub Profile.
3. Install SuperAGI on your machine. Follow the installation instructions outlined here.
4. For this tutorial, we utilize Python and VS Code, but feel free to use any programming language and editor of your choice.

Creating an Agent

This section will guide you through setting up an agent using the Coding + GitHub Push Agent template in SuperAGI:

1. Open your browser and navigate to localhost:3000. You should see a user-friendly interface.
2. Explore the Marketplace and select the Coding + GitHub Push Agent template.
3. Proceed to install the template.
4. Create a new agent and select the installed Coding + GitHub Push Agent template.
5. Configure the agent with your preferred settings or retain the default options. Ensure to include your GitHub Repository link as part of the third goal.
6. Finally, click on Create and Run to initiate the process. The agent will begin generating code and pushing it to your GitHub repository. Grab a coffee while it works!

Behind the Scenes

Here's a closer look at how the agent operates:

1. The agent receives input in the form of goals: These goals encapsulate the desired outcomes, providing direction for the agent's activities.
2. The thinking tool processes these goals: The goals are channeled into the "thinking tool," which analyzes them and formulates a strategic response or action plan.
3. Thought, Plan, Criticism, and Tool generation: The thinking tool generates various outputs:
• Thought: Insights or considerations derived from the goals.
• Plan: An outline of the necessary steps to accomplish the goals.
• Criticism: Constructive evaluations or feedback regarding the goals or proposed plan.
• Tool: A method or tool selected for achieving the goals.
4. Execution of the decided tool: From the generated outputs, a tool is selected based on specific criteria and executed to carry out tasks.
5. Completion of one iteration: The execution signifies the completion of an operational cycle or "iteration," involving tasks performed towards achieving the goals.

In summary, the process encompasses the agent's reception of goals, their processing via a thinking tool, and subsequent actions taken based on this process, effectively aligning tasks with set objectives.

Conclusion

The SuperAGI framework is a powerful tool for developers looking to harness the capabilities of autonomous AI agents. Through this tutorial, you've learned the foundational elements of working with agents, templates, and the practical steps for utilizing the Coding + GitHub Push Agent. Now, you have the tools necessary to create and employ AI agents effectively, enhancing your software development workflow!