How To Install SuperAGI - Multiple Agents, GUI, Tools, and more!

Super AGI Overview

In this section, the speaker introduces Super AGI, highlighting its advanced capabilities and ease of use.

Introduction to Super AGI

• Transformer Optimus is the creator of Super AGI, a tool with extensive functionality that is currently trending on GitHub.

• Super AGI allows for provisioning, spawning, and deploying autonomous AI agents. It offers various tools such as Slack, email, Google search, GitHub, Zapier, and Instagram out of the box.

• Notable features include extensibility with different tools, a graphical user interface, and the ability to run agents concurrently.

Installation Guide for Super AGI

This section provides a step-by-step guide on how to install and set up Super AGI.

Installing Super AGI

• Install Docker by downloading it from docker.com and ensuring it is up and running in the background.

• Clone the Super AGI repository to your desktop using Git within Visual Studio Code.

• Rename config_template.yaml to config.yaml to store environment variables like Pinecone key, OpenAI key, Google key for usage.

Setting Up API Keys

• Create an API key with OpenAI by signing up at platform.openai.com/account/api-keys and following the steps provided.

• Obtain a Pinecone API key by creating one in your Pinecone account settings. Copy this key into the config.yaml file along with the Pinecone environment details.

• Generate a Google API key through Google Cloud Services under API & Services. Add this key to the config.yaml file alongside other keys.

Configuring Search Engine ID

• Retrieve a search engine ID from programmable search engine website for Google Custom Search API. Paste this ID into the config.yaml file.

Conclusion

Installation and Setup of Super AGI

In this section, the speaker demonstrates the installation and setup process for Super AGI using Docker.

Building and Running Super AGI

• To build Super AGI, enter the command up Dash Dash build in the terminal and hit enter. Ensure Docker is running for this to work smoothly.

• Access Super AGI by typing localhost:3000 in a web browser after it's up and running.

Creating an Agent in Super AGI

This part focuses on creating an agent within Super AGI, setting goals, selecting tools, and initiating tasks.

Agent Creation Process

• Navigate to the agents tab, click on "create agent," provide a name (e.g., test agent) and description (e.g., testing).

• Add goals for the agent; for instance, "research AI topics for YouTube videos."

• Choose between GPT4 API or GPT 3.5 turbo based on availability.

• Select tools from options like read email, send email, append file, delete file, Google search, read file, write file.

Running Tasks with Super AGI

This segment delves into executing tasks with created agents in Super AGI.

Task Execution

• Click on "create and run" to initiate tasks with selected tools.

• The system autonomously determines required tools as tasks progress.

• Multiple agents can run concurrently for enhanced efficiency.

Task Progression and Completion

Here we explore how tasks progress within an agent in Super AGI until completion.

Task Progress

• Monitor task progression through logs in Visual Studio Code.

• Tasks involve steps like performing a Google search for relevant AI topics and saving information to a file.

Completion of Tasks and Feedback

This part covers completing tasks within an agent in Super AGI along with feedback mechanisms.

Task Completion

• Upon achieving set goals like researching AI topics, use the Finish command to conclude tasks.

• The system provides critical feedback akin to Auto GPT during task execution.