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<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

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SuperAGI logo SuperAGI logo

Infrastructure to build, manage and run useful Autonomous AI Agents

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💡 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

Slack Email Jira File Manager Google Search Dall-E Github Web Interaction Zapier Instagram Trello Google Analytics Duckduckgo Discord

💻 Screenshots

GUI

SuperAGI logo SuperAGI logo

🛣 Roadmap

Click here to checkout the latest roadmap 🔗

⚙️ Setting up

YOU NEED DOCKER AND PINECONE SETUP

  1. Download the repo using git clone https://github.com/TransformerOptimus/SuperAGI.git in your terminal or directly from github page in zip format.
  2. Navigate to the directory using cd SuperAGI and create a copy of config_template.yaml and name it config.yaml.
  3. 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())

  1. Ensure that Docker is installed in your system, if not, Install it from here.
  2. 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!

👩‍💻Contributors

TransformerOptimus Cptsnowcrasher vectorcrow Akki-jain Autocop-AgentCOLONAYUSHluciferlinx101mukundans89Fluder-ParadynenborthynihirrTarraann

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<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

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