hope-agent 0.1.0

Advanced AI agent orchestration system

HOPE Agent v1.0

HOPE (Highly Orchestrated Python Environment) Agent is an advanced AI agent orchestration system designed to manage complex AI tasks, facilitate communication between agents, and provide a user-friendly interface.

Features

• JSON-based Agent Management: Create and manage AI agents using a flexible JSON structure.
• Rich Command-line Interface: Interact with the system using a colorful and formatted CLI.
• LangChain Integration: Utilize LangChain's powerful language model capabilities.
• Groq API Usage: Leverage Groq's advanced AI models for various tasks.
• Advanced Memory Management: Implement sophisticated short-term and long-term memory for agents.
• Agent Communication: Enable complex interactions between AI agents.
• Dynamic Task Allocation: Efficiently distribute tasks among available agents.
• Modular Plugin System: Extend functionality through a flexible plugin architecture.
• Comprehensive Error Management: Robust error handling and logging system.
• Scalability and Performance Optimization: Designed for high performance and scalability.

Prerequisites

• Python 3.7 or later
• pip (Python package manager)

Installation

1. Clone the repository:

   git clone https://github.com/U-C4N/hope-agent.git
   cd hope-agent
   

2. Install dependencies:

   pip install -e .
   

3. Set up your environment variables: Create a .env file in the root directory and add your API keys:

   GROQ_API_KEY=your_groq_api_key_here
   GROQ_MODEL=your_preferred_model
   MAX_AGENTS=10
   TASK_QUEUE_SIZE=100
   LOG_LEVEL=INFO
   

Usage

1. Run the translator example:

   python example/translator.py
   

2. Follow the prompts to input the path to the text file you want to translate and the target language.

3. The system will use two AI agents (a translator and a quality assurance specialist) to translate the text and check its quality.

For more detailed usage instructions, refer to the user-guide.txt file.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Groq for providing the AI API.
• LangChain for the language model toolkit.
• Rich for beautiful console formatting.
• python-dotenv for environment variable management.