SuperAGI

Open-source framework to build, manage and run useful Autonomous AI Agents

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Installation Video

Details

Features

Provision, Spawn & Deploy Autonomous AI Agents
Extend Agent Capabilities with Tools
Run Concurrent Agents Seamlessly
Graphical User Interface
Action Console
Multiple Vector DBs
Multi-Modal Agents
Agent Trajectory Fine-Tuning
Performance Telemetry
Optimized Token Usage
Agent Memory Storage
Looping Detection Heuristics
Concurrent Agents
Resource Manager

Tools

Screenshots

GUI

Roadmap

Click here to checkout the latest roadmap

Setting up

Download the repo using git clone https://github.com/TransformerOptimus/SuperAGI.git in your terminal or directly from github page in zip format.
Navigate to the directory using cd SuperAGI and create a copy of config_template.yaml and name it config.yaml.
Enter your unique OpenAI API Key, Google key, Custom search engine ID 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.

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 SuperAGI directory. Open your browser and go to localhost:3000 to see SuperAGI running.

Under Development!

This project is under active development and may still have issues. We appreciate your understanding and patience. If you encounter any problems, please first check the open issues. If your issue is not listed, kindly create a new issue detailing the error or problem you experienced. Thank you for your support!

Curated Videos

How To Install SuperAGI on:

Github Codespaces

Windows/MacOS/Linux

Contributors