Hexflow is a full-stack application designed for penetration testing, and visualization. It leverages a modern React frontend, a Node.js backend, and integrates with AI and security tools for advanced analysis. This project is inspired by the below mindmap I made by solving various CTFs, HTB machines and certifications like PJPT.

https://xmind.ai/kI1wEPg5

hexflow/
├── backend/         # Node.js backend server and tools
│   ├── server.js
│   ├── package.json
│   └── tools/
├── frontend/        # React frontend (Vite + Tailwind CSS)
│   ├── src/
│   ├── public/
│   ├── package.json
│   └── ...
├── ollama/          # AI/ML integration (Ollama Docker setup)
│   ├── Dockerfile
│   └── entrypoint.sh
├── compose.yaml     # Docker Compose for multi-service orchestration

• Interactive mindmap for penetration testing visualization
• Network scanning (Nmap, directory, subdomain, etc.)
• AI-powered analysis and suggestions
• Modular, extensible node and flow system
• Dockerized deployment for all services

• Docker & Docker Compose
• Node.js (for local development)
• npm or yarn

git clone https://github.com/hexadivine/hexflow.git
cd hexflow

docker compose up --build

This will start the backend, frontend, and Ollama AI services.

• Frontend:

  cd frontend
  npm install
  npm run dev

• Backend:

  cd backend
  npm install
  npm start

• backend/: Node.js server, API endpoints, and utility scripts
• frontend/: React app, mindmap components, context, and utilities
• ollama/: AI/ML service Docker setup

1. Fork the repository
2. Create your feature branch (git checkout -b feature/YourFeature)
3. Commit your changes (git commit -am 'Add new feature')
4. Push to the branch (git push origin feature/YourFeature)
5. Open a pull request

MIT

For more details, see the documentation in each subfolder or contact the maintainers.