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ANRL

ANRL

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