🛠️ Installation

Install the required dependencies:

pip install PySide6

Install the necessary packages:

For Linux:

pip install 'crewai[tools]' langchain crewai networkx

For Windows:

pip install crewai[tools] langchain crewai networkx

🚀 Usage

Launch the CrewAI-GUI interface:

python frontend.py

Create, manipulate, save, and load Directed Acyclic Graph (DAG) structures for CrewAI as JSON files.

Run the backend with different configurations:

For GPT-4:

python backend.py --graph example.json --keys credentials.ini --tee output.log

For Ollama (e.g., Mistral):

python backend.py --graph example.json --llm mistral --tee output.log

The backend seamlessly converts JSON files into CrewAI tasks and agents.

🏗️ Build

Create a standalone executable with PyInstaller:

pip install pyinstaller
cd src
pyinstaller --onefile --additional-hooks-dir=. frontend.py

Package the backend with cx_Freeze:

pip install cx_Freeze
cd src
python setup-backend.py build

📚 Documentation

Explore CrewAI-GUI in-depth with our comprehensive GitHub Pages Documentation.

Learn CrewAI

If you want see some example code for CrewAI, you can see crewai examples

🧪 Examples

Discover real-world applications of CrewAI-GUI in our example graph source.

⚠️ Limitations

• 🔒 The current version supports a limited set of node types and slots
• 🚧 Some advanced CrewAI variables and features are planned for future releases

🤝 Contributing

We welcome contributions to CrewAI-GUI! Please refer to our CONTRIBUTING.md for guidelines on:

• Submitting pull requests
• Reporting issues
• Requesting new features

Join our community and help shape the future of AI workflow design!

📄 License

CrewAI-GUI is open-source software, released under the MIT License. For full details, see the LICENSE file.

📬 Contact

Have questions, suggestions, or want to collaborate? Open an issue on our GitHub repository.

Crafted with ❤️ by the LangGraph-GUI Team

👥 Contributors

| HomunMage | hemangjoshi37a | |:-:|:-:| | | |

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