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SuperAGI - Learn About This Dev-First Framework for Building Useful Autonomous AI Agents

by Akshat Jain3mJune 1st, 2023

Too Long; Didn't Read

SuperAGI is an open-source platform providing infrastructure to build autonomous AI agents. Designed to run multiple agents concurrently, SuperAGI's diverse set of features and tools allows developers to spawn, deploy, and manage AI agents with ease. This article will walk you through the initial setup and configuration of Super AGI.

featured image - SuperAGI - Learn About This Dev-First Framework for Building Useful Autonomous AI Agents

This article will walk you through the initial setup and configuration of SuperAGI. By the end, you will have a working SuperAGI environment ready to run your autonomous AI agents.

⭐️ Key Features of SuperAGI

Extend Agent Capabilities with Tools: You can add capabilities to your agents by selecting tools from an ever-growing library or build your own custom tool.

Run Concurrent Agents Seamlessly: SuperAGI allows you to run multiple agents simultaneously, maximizing efficiency and achieving parallel processing.

Open Source: As an open-source platform, SuperAGI encourages developers to join its community and contribute to making the platform better.

GUI: With a user-friendly graphical interface, managing and interacting with your agents becomes a breeze.

Action Console: This feature lets you interact with agents by providing input, permissions, and more.

Multi-Modal Agents: You can customize your agents using different models to tailor their behavior to specific tasks.

💻 Screenshots

GUI

🧰 Prerequisites

SuperAGI requires Docker and Pinecone setup. Before proceeding, ensure you have installed and configured Pinecone. Along with this, you will need Python installed on your system.

🛠 Setting Up SuperAGI

Download the repo using git clone https://github.com/TransformerOptimus/SuperAGI.git in your terminal or directly from the GitHub page in zip format.
Navigate to the directory using cd SuperAGI, and create a copy of config_template.yaml; name it config.yaml.
Enter your unique OpenAI API Key, Google key, Custom search engine ID, and Pinecone API key without any quotes or spaces in config.yaml file. Follow the links below to get your keys:

Keys	Accessing the keys
OpenAI API Key	Sign up, and create an API key at OpenAI Developer
Google API key	Create a project in the Google Cloud Console, and enable the API you need (for example, Google Custom Search JSON API). Then, create an API key in the "Credentials" section.
Custom search engine ID	Visit Google Programmable Search Engine to create a custom search engine for your application, and obtain the search engine ID.
Pinecone API key	Sign up at Pinecone, and create an API key in your account dashboard.

If you're on the Pinecone free plan, you only have 1 pod and 1 index available. As a workaround, change the index name used in test.py where memory is defined: memory = VectorFactory.get_vector_storage("PineCone", "my-current-indexname", OpenAiEmbedding())

Ensure that Docker is installed in your system; if not, install it from here.
Once you have Docker Desktop running, run command : docker-compose up --build in the SuperAGI directory. Open your browser and go to localhost:3000 to see SuperAGI running.

🤝 Conclusion

You're all set! You now have a functional SuperAGI environment ready to provision, spawn, and deploy autonomous AI agents. Keep in mind that SuperAGI is currently under active development.

Leave a ⭐ on GitHub Roadmap Website

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