Personalizing your contact center agent using OpenSearch agentic memory

OpenSearch agentic memory addresses the lack of conversational context in AI contact center agents by providing persistent, personalized memory across multiple interactions. By utilizing three simultaneous strategies—semantic facts, user preferences, and session summaries—the system enables efficient, targeted retrieval via hybrid search. This approach simplifies development by delegating memory management, fact extraction, and user isolation directly to the OpenSearch server.