Abstract: A computer system and computer-implemented method for configuring attributes of at least one execution environment for an artificial intelligence (AI) agent is provided. The method includes executing an AI agent, the AI agent including a contextual memory associated with the AI agent, wherein the contextual memory is configured to store contextual data relating to experiences of the AI agent in the at least one execution environment. At least one biotag is derived from the contextual data, wherein the at least one biotag encapsulates experiences of the agent over time. In response to activity of the AI agent within the at least one execution environment, a subset of the at least one biotags is selected and attributes of the at least one execution environment are changed based on the biotag(s).

Abstract: An AI agent is associated with a contextual memory configured to store contextual data related to the agent's activity and interactions with other elements in a computing environment. These interactions and experiences are transferable with the AI agent across multiple execution environments. The contextual data can influence the AI agent's interactions within these environments. The contextual memory may comprise multiple cards, each containing data representing an interaction or attribute of a specific asset within the environment. The data on the cards can include intrinsic information, dynamic information, and event/interaction information related to the specific asset.