Why Properties Matter for Agentic Memory

Beyond the Graph: Why AI Agent Networks Need Higher-Order Thinking

Why LLMs Don’t Need Ontologies (But Knowledge Graphs Do)

The Context Graph Hype: When Engineering Expertise Gets Lost in the Noise

Vectors vs Graphs: How Topology and Geometry Are Transforming Machine Learning

The Shape of Knowledge: Topology Theory for Knowledge Graphs

Lex: A Formal Ontology Language for Property Graphs

Axioms in Ontology: Beyond Schema to Reasoning Systems

Beyond Binary Relations: The HyperGraph-Graph (HG²)

The Geometry of Knowledge: How Cubic Types Reveal the Hidden Architecture of Metagraphs

Metagraphs and Hypergraphs for complex AI agent memory and RAG

Metagraphs as Homoiconic Structures: Revolutionizing Knowledge Representation

Open World vs Closed World: Modeling OWL and SHACL Semantics in Agda

Holons and Metagraphs: Universal Interfaces from Atoms to Organisms

A deep exploration of how holonic principles unify agent systems, knowledge representation, temporal structures, and system design