Time Decayed Knowledge Graph for AI memory systems
Project description
tdkg
tdkg (Temporal Decaying Knowledge Graph) is a lightweight Python library for building memory systems that evolve over time.
It is designed for applications where information should not just be stored, but reinforced through usage and forgotten naturally over time.
Think of it as a simple cognitive memory layer for AI systems, agents, or personal knowledge graphs.
🚀 Key Idea
Traditional storage systems treat all data equally.
tdkg introduces a different model:
- Frequently accessed information becomes stronger
- Rarely accessed information decays over time
- Memory behaves more like human cognition
🧠 Core Concept: Node
Each piece of information is stored as a Node:
- Has content
- Tracks access frequency
- Tracks last access time
- Has an evolving importance score
📦 Installation
pip install tdkg
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