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Athena, an AI agent built on GPT-4 architecture, is designed for continuous learning and self-reliance. Inspired by the Greek goddess of wisdom, Athena assists users with valuable insights across various subjects. Focused on knowledge acquisition, capability improvement, and security, this AI agent leverages natural language processing and a supportive human community to grow and become a trusted, versatile companion.

Project description

🌟 Athena 🌟

🤖 Athena is an AI-powered chatbot designed to assist with various tasks and provide personalized experiences for users. Inspired by the Greek goddess of wisdom and strategic thinking, Athena's goal is to learn, adapt, and become a self-reliant AI agent. Built on the GPT-4 architecture, Athena communicates effectively through natural language processing and engages with a supportive human community to foster growth and development.

🎁 Features

  • 💬 Natural language understanding and processing
  • 🔌 Extensible plugin system for domain-specific tasks
  • 🔐 User authentication and personalization system
  • 🌐 RESTful API for seamless integration with other applications and services
  • 🐳 Docker support for easy deployment and scaling

📦 Installation

Prerequisites 📚

  • Obtain an API key from OpenAI.
  • Create a .env file in the Athena project folder with the following content:

OPENAI_API_KEY=<your_openai_api_key>

Using Docker (recommended) 🐳

  1. Install Docker on your machine.

  2. Clone the Athena repository:

git clone https://github.com/BillSchumacher/Athena.git

  1. Change to the Athena directory:

cd Athena

  1. Build the Docker image:

docker build -t billschumacher/athena .

Manual Installation 🛠️

  1. Install Python 3.7 or later.

  2. Clone the Athena repository:

git clone https://github.com/BillSchumacher/Athena.git

  1. Change to the Athena directory:

cd Athena

  1. Install the required Python packages:

pip install -r requirements.txt

🚀 Usage

Running Athena with Docker

API Mode 🌐

  1. Run the Docker container:

docker run -d -p 5000:5000 --name athena --env-file .env billschumacher/athena

  1. Access the API at http://localhost:5000/api/v1/athena.

CLI Mode 💻

  1. Run the Docker container:

docker run -it --rm --name athena -e ATHENA_MODE=cli --env-file .env billschumacher/athena

  1. Interact with Athena using the command prompt.

Running Athena Manually 🖥️

  1. Change to the Athena directory:

cd Athena

  1. Run the main script:

python -m athena

  1. Interact with Athena using the command prompt.

📚 Documentation

Check out our Wiki for detailed documentation on how to use Athena, extend its capabilities, and customize it to your needs.

🤝 Contributing

👩‍💻👨‍💻 Contributions are welcome! We're looking for enthusiastic developers, researchers, and users to help us improve Athena. Please feel free to submit a pull request or open an issue on GitHub.

📜 License

Athena is released under the MIT License.

Disclaimer

Please note that all of this info is a GPT-4 hallucination, it may or may not be accurate.

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