A Node-Based Frontend for CrewAI: Revolutionizing AI Workflow Creation
# Add to your Claude Code skills
git clone https://github.com/LangGraph-GUI/CrewAI-GUI-QtGuides for using ai agents skills like CrewAI-GUI-Qt.
Last scanned: 5/30/2026
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}CrewAI-GUI-Qt is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by LangGraph-GUI. A Node-Based Frontend for CrewAI: Revolutionizing AI Workflow Creation. It has 205 GitHub stars.
Yes. CrewAI-GUI-Qt passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/LangGraph-GUI/CrewAI-GUI-Qt" and add it to your Claude Code skills directory (see the Installation section above).
CrewAI-GUI-Qt is primarily written in Python. It is open-source under LangGraph-GUI on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh CrewAI-GUI-Qt against similar tools.
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A Node-Based Frontend for CrewAI: Revolutionizing AI Workflow Creation

Features • Installation • Usage • Build • Documentation • Contributing
CrewAI-GUI empowers you to create sophisticated AI workflows with ease:
Click to watch our comprehensive video guide
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
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.
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
Explore CrewAI-GUI in-depth with our comprehensive GitHub Pages Documentation.
If you want see some example code for CrewAI, you can see crewai examples
Discover real-world applications of CrewAI-GUI in our example graph source.
We welcome contributions to CrewAI-GUI! Please refer to our CONTRIBUTING.md for guidelines on:
Join our community and help shape the future of AI workflow design!
CrewAI-GUI is open-source software, released under the MIT License. For full details, see the LICENSE file.
Have questions, suggestions, or want to collaborate? Open an issue on our GitHub repository.
Crafted with ❤️ by the LangGraph-GUI Team
| HomunMage | hemangjoshi37a |
|---|---|
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