Graph-native representation language explicitly designed to optimize attention allocation and semantic saliency for Large Language Models.
Features
- ›Explicit saliency weighting to definitively direct the transformer's attention to critical information
- ›Built-in epistemic confidence markers to dynamically encode truthiness and prevent hallucinations
- ›Robust relational anchoring to securely link conceptual nodes and completely prevent column slippage
- ›Native causal logic operators to explicitly distinguish causation from mere association during reasoning steps
- ›High token density syntax specifically designed to minimize structural noise and delimiters for optimal context utilization
Tech Stack
Rust CompilerMessagePackTree-SitterFastembed
