In the latest in our ‘New Beings’ series, we explore AI and coding. Today, we delve into SuperAGI.

What is SuperAGI?

SuperAGI is an open-source platform that provides infrastructure for building autonomous AI agents. It allows developers to spawn, deploy, and manage AI agents with ease. 

With SuperAGI, developers can run multiple agents concurrently, extend agent capabilities using various tools, and benefit from a user-friendly graphical interface for agent management [3].

Features and resources

SuperAGI has the following key features:

  • Provision, spawn, and deploy autonomous AI agents.
  • Extend agent capabilities with a library of tools.
  • Run concurrent agents seamlessly.
  • Graphical User Interface (GUI) for easy agent management.
  • Action Console for interacting with agents.
  • Multi-Modal Agents for customisation using different models.
  • Performance telemetry and memory storage for agents.
  • Looping detection heuristics and resource manager [2].

To download the SuperAGI repository, you can clone it using the command git clone in your terminal or download it directly from the GitHub page in zip format. 

The setup instructions and configuration details can be found in the repository’s README file. You will need to create a config.yaml file and provide your unique OpenAI API Key, Google key, and Custom search engine ID to access the required APIs [2][3].


To set up SuperAGI, follow these steps:

  • Clone the SuperAGI repository or download it as a zip file.
  • Navigate to the SuperAGI directory using the command cd SuperAGI.
  • Create a copy of config_template.yaml and name it config.yaml.
  • Enter your unique OpenAI API Key, Google key, and Custom search engine ID in the config.yaml file without any quotes or spaces.
  • Ensure Docker is installed on your system.
  • Run the command docker-compose up –build in the SuperAGI directory.
  • Open your browser and go to http://localhost:3000 to access SuperAGI.
  • Note: You can change the port it’s running on by modifying the docker-compose.yml file [2][3].

Real-Life Action

SuperAGI enables developers to build, manage, and run autonomous AI agents. It facilitates tasks such as provisioning agents, extending their capabilities using various tools, running agents concurrently, and providing a graphical interface for agent management. Developers can use SuperAGI to create AI agents tailored to specific tasks and interact with them through the Action Console [3].

However, I did not manage to use it to its claimed potential. It ran for more than half a day and was still in its original state.

Alternatives to SuperAGI

There are various alternatives to SuperAGI available for building autonomous AI agents, such as OpenAI’s GPT-3 platform, Microsoft’s Azure Cognitive Services, and Google Cloud AI. Each alternative offers its own set of features, tools, and capabilities, so it’s important to evaluate them based on specific requirements and use cases.

Key Takeaways and conclusions

  1. SuperAGI appears to be a powerful open-source platform for building and managing autonomous AI agents. Its features, tools, and concurrent agent capabilities make it a promising solution for developers working with AI agent systems.
  2. SuperAGI provides developers with a comprehensive framework for building and managing autonomous AI agents. 
  3. With its features like concurrent agent support, extendable capabilities, and a user-friendly GUI, SuperAGI simplifies the development and deployment process. 

However, it’s important to keep in mind that SuperAGI is under active development, and as with any software project, it may have some issues or limitations. 

Developers should review the documentation, contribute to the community, and consider their specific requirements when deciding whether to use SuperAGI for their AI agent projects.

If you’re interested in learning more about our exploration of AI for development, see our previous articles in the ‘New Beings’ series.