CrewAI GUI Qt AI Agent

by LangGraph-GUI• 211•• Scanned•Claim this listing•Request removal
Productivity & Workflowaiai agentai agentscrewaigui

A Node-Based Frontend for CrewAI: Revolutionizing AI Workflow Creation

CrewAI GUI Qt is an open-source ai agent by LangGraph-GUI, written mainly in Python, with 211 GitHub stars and the MIT license. Its code was last updated Jul 14, 2026.

🤖 CrewAI-GUI

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A Node-Based Frontend for CrewAI: Revolutionizing AI Workflow Creation

CrewAI-GUI Frontend

GitHub stars License: MIT Python 3.7+

Features • Installation • Usage • Build • Documentation • Contributing

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🌟 Features

CrewAI-GUI empowers you to create sophisticated AI workflows with ease:

  • 🖱️ Intuitive Node-Based Interface: Design complex AI agent interactions through a user-friendly drag-and-drop interface
  • 🔗 JSON Export: Seamlessly export your CrewAI designs to JSON, enhancing modularity and reusability
  • 🧠 Flexible AI Backend: Full support for both GPT-4 API and Ollama, catering to various AI needs
  • 💻 Cross-Platform Compatibility: Create AI workflows on Windows, Linux, or macOS with equal efficiency

🎥 Video Introduction

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CrewAI-GUI Introduction

Click to watch our comprehensive video guide

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🛠️ Installation

<details> <summary><b>Frontend GUI</b></summary>

Install the required dependencies:

pip install PySide6
</details> <details> <summary><b>Backend</b></summary>

Install the necessary packages:

For Linux:

pip install 'crewai[tools]' langchain crewai networkx

For Windows:

pip install crewai[tools] langchain crewai networkx
</details>

🚀 Usage

<details> <summary><b>Frontend GUI</b></summary>

Launch the CrewAI-GUI interface:

python frontend.py

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

</details> <details> <summary><b>Backend</b></summary>

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.

</details>

🏗️ Build

<details> <summary><b>Frontend GUI</b></summary>

Create a standalone executable with PyInstaller:

pip install pyinstaller
cd src
pyinstaller --onefile --additional-hooks-dir=. frontend.py
</details> <details> <summary><b>Backend</b></summary>

Package the backend with cx_Freeze:

pip install cx_Freeze
cd src
python setup-backend.py build
</details>

📚 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.


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Crafted with ❤️ by the LangGraph-GUI Team

👥 Contributors

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HomunMagehemangjoshi37a
HomunMagehemangjoshi37a
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⬆ Back to Top

</div> <!-- Keywords: CrewAI, GUI, Node-Based Interface, AI Workflows, GPT-4, Ollama, Python, Drag-and-Drop, JSON Export, Cross-Platform, AI Agents, Workflow Automation -->

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