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Mixture of Agents using Groq
| Date | Stars |
|---|---|
| 2026-07-31 | 933 |
| 2026-08-03 | 933 |
| 2026-08-06 | 933 |
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# Mixture-of-Agents Demo Powered by Groq
This Streamlit application showcases the Mixture of Agents (MOA) architecture proposed by Together AI, powered by Groq LLMs. It allows users to interact with a configurable multi-agent system for enhanced AI-driven conversations.
*Source: Adaptation of [Together AI Blog - Mixture of Agents](https://www.together.ai/blog/together-moa)*
## Features
- Interactive chat interface powered by MOA
- Configurable main model and layer agents
- Real-time streaming of responses
- Visualization of intermediate layer outputs
- Customizable agent parameters through the UI
## Installation
1. Clone the repository:
```
git clone https://github.com/skapadia3214/groq-moa.git
cd groq-moa
```
2. Install the required dependencies:
```
pip install -r requirements.txt
```
3. Set up your environment variables:
Create a `.env` file in the root directory and add your Groq API key:
```
GROQ_API_KEY=your_api_key_here
```
## Usage
1. Run the Streamlit app:
```
streamlit run app.py
```
2. Open your web browser and navigate to the URL provided by Streamlit (usually `http://localhost:8501`).
3. Use the sidebar to configure the MOA settings:
- Select the main model
- Set the number of cycles
- Customize the layer agent configuration
4. Start chatting with the MOA system using the input box at the bottom of the page.
## Project Structure
- `app.py`: Main Streamlit application file
- `moa/`: Package containing the MOA implementation
- `__init__.py`: Package initializer
- `moa.py`: Core MOA agent implementation
- `prompts.py`: System prompts for the agents
- `main.py`: CLI version of the MOA chat interface
- `requirements.txt`: List of Python dependencies
- `static/`: Directory for static assets (images, etc.)
## Configuration
The MOA system can be configured through the Streamlit UI or by modifying the default configuration in `app.py`. The main configurable parameters are:
- Main model: The primary language model used for generating final responses
- Number of cycles: How many times the layer agents are invoked before the main agent
- Layer agent configuration: A JSON object defining the system prompts, model names, and other parameters for each layer agent
## Contributing
Contributions to this project are welcome! Please follow these steps to contribute:
1. Fork the repository
2. Create a new branch for your feature or bug fix
3. Make your changes and commit them with descriptive commit messages
4. Push your changes to your fork
5. Submit a pull request to the main repository
Please ensure that your code adheres to the project's coding standards and includes appropriate tests and documentation.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Acknowledgements
- [Groq](https://groq.com/) for providing the underlying language models
- [Together AI](https://www.together.ai/) for proposing the Mixture of Agents architecture and providing the conceptual image
- [Streamlit](https://streamlit.io/) for the web application framework
## Citation
This project implements the Mixture-of-Agents architecture proposed in the following paper:
```
@article{wang2024mixture,
title={Mixture-of-Agents Enhances Large Language Model Capabilities},
author={Wang, Junlin and Wang, Jue and Athiwaratkun, Ben and Zhang, Ce and Zou, James},
journal={arXiv preprint arXiv:2406.04692},
year={2024}
}
```
For more information about the Mixture-of-Agents concept, please refer to the [original research paper](https://arxiv.org/abs/2406.04692) and the [Together AI blog post](https://www.together.ai/blog/together-moa).
## Contact
For questions or support, please open an issue on the GitHub repository or contact [email protected] directly.Excerpt of 3,869 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:850bb5abacdebfac, llm:Repository description: "Mixture of Agents using Groq" (no topics, Python).
matched fp:850bb5abacdebfac, llm:Repository description: "Mixture of Agents using Groq" (no topics, Python).
matched fp:850bb5abacdebfac, llm:Repository description: "Mixture of Agents using Groq" (no topics, Python).