This section details Atomspace technologies, the representational core of Hyperon’s neural-symbolic approach. In this context, “Atoms” represent symbolic data and formal categories that allow the system to store not just raw data, but the relationships and logic behind it. Systems such as DAS and MORK enable a dynamic knowledge metagraph where code and data are interchangeable, and where neural or sub-symbolic processes can deposit, reshape, and retrieve structured representations through ongoing system dynamics. This allows AI to perform complex queries and self-modifications across a distributed network, treating its own internal logic as a queryable and improvable data structure rather than a static symbolic store.