GraphFusion: The Opensource AI Framework for Neural Memory Networks

Empowering AI with Persistent, Reliable, and Queryable Memory

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Install GraphFusion 🚀

Install GraphFusion and its dependencies via PyPI (Command not Ready Yet):

pip install graphfusion

GraphFusion supports Python 3.9 and above.

GraphFusion AI is an open-source Python library designed for building and utilizing Neural Memory Networks (NMNs). With GraphFusion, developers can create systems capable of learning from data dynamically while maintaining confidence-scored, queryable memory for applications such as intelligent assistants, healthcare, finance, and education.

Features ✨

• Neural Memory Networks: Real-time adaptable memory for dynamic data processing.
• Knowledge Graph Integration: Organize data relationships and extract semantic insights.
• Multi-Sector Applications:
  • Healthcare: Analyze patient data and track medical history.
  • Finance: Detect fraudulent transactions.
  • Education: Provide personalized learning recommendations.

Quickstart Guide 🏁

Set Up the Environment

1. Clone the Repository:

   git clone https://github.com/GraphFusion/GraphFusion-NMN.git
   cd GraphFusion-NMN

2. Set Up a Virtual Environment:

   python -m venv venv
   source venv/bin/activate  # Linux/macOS
   venv\Scripts\activate     # Windows

3. Install Dependencies:

   pip install -r requirements.txt

4. Install in Editable Mode (Recommended):

   pip install -e .

Examples 🚀

Healthcare Use Case

Process patient data to track medical history and recommend care strategies.

python health_example.py

Example Output:

{
  "Patient Result": {...},
  "Confidence": 0.527,
  "Knowledge Graph": {...}
}

Finance Use Case

Analyze transactions to detect fraudulent activities.

python finance_example.py

Example Output:

{
  "Transaction Result": {...},
  "Confidence": 0.528,
  "Knowledge Graph": {...}
}

Education Use Case

Recommend peer groups based on student performance.

python education_example.py

Example Output:

{
  "Student Result": {...},
  "Confidence": 0.527,
  "Knowledge Graph": {...}
}

Architecture 🔧

GraphFusion combines cutting-edge models for persistent AI memory:

• MemoryCell: Processes and updates memory dynamically.
• KnowledgeGraph: Creates structured relationships between data points.
• NeuralMemoryNetwork: Context-aware data analysis and recommendations.

Contribute 🌟

We welcome contributors! Follow these steps:

1. Fork the repository.
2. Create a feature branch:

   git checkout -b feature-name

3. Commit your changes:

   git commit -am 'Add new feature'

4. Push your branch:

   git push origin feature-name

5. Create a pull request!

Community 💬

Join discussions and get support on Discord. Let’s shape the future of AI together!

License 📝

GraphFusion is licensed under the Apache 2.0 License. See LICENSE for details.