Graph of the World.
Perception fills a world model and physics makes it actionable, but the model has to live somewhere. It lives as a graph. Every entity an embodied system knows, a part, a material, a surface, a constraint, another agent, a sensor reading, is a node; every relationship is an edge. And because the world is continuous, each node carries a vector embedding, so a system can both traverse relationships and search by similarity in one engine, on the device. Graph of the World is that substrate, the hybrid graph and vector store that holds what a system perceives and reasons over. The research effort is hyperdb.
hyperdb on GitHub ↗A property graph and vector search (HNSW) in one engine; queries traverse relationships and find nearest neighbors at once.
↓ Whitepaper · PDFRead online◆ Living paper◆ Explore the live corpus graphTechnical Report TR-2026-12 · Institute for Physical AI @ BMI