Agentic memory storing context grounding and other results for automations

A computer program product implementing an agentic memory on a non-transitory medium, the agentic memory accessible by one or more artificial intelligence (AI) agents being executed by one or more processors, the agentic memory configured to:

• store one or more vectors comprising context embeddings generated by advanced agentic extraction in response to one or more queries in an agentic memory comprising a dynamic cache for effective retrieval and semantic matching one or more vectors to a context grounding corresponding to the one or more queries, the dynamic cache further comprising one or more the context grounding generated by an enhanced extraction and search technique, one or more escalations, one or more tool calls, and dynamic or direct user inputs;
• provide access to the one or more AI agents for an advanced agentic search to match a complex query to the one or more vectors of the agentic memory to determine the context grounding and store the context grounding in the agentic memory with the matched one or more vectors;
• providing the context grounding from the agentic memory to an AI model with the complex query to enhance an accuracy of a response of the AI model;
• and
• receiving the response of the AI model to the complex query from the AI model, wherein the agentic memory evolves and remembers the complex query and the response,
• wherein the agentic memory automatically tethers the context grounding to the agentic memory based on instructions from the one or more AI agents, and
• wherein the automatic tethering saves results of expensive searches in the agentic memory to avoid performance costs for similar queries going forward.