User memory: Persistent context that makes every interaction feel personal | Decagon

This post introduces User Memory as a new capability for the AI Support Agent Platform. User Memory is designed to store and reference conversational context and personal user signals across interactions, enabling personalized customer experiences. It captures unstructured conversation history and extracts structured metadata like feature requests and preferences. The system provides a unified user view, aggregates user analytics for trend spotting, and offers enterprise-grade governance with data portability, redaction, and expiration policies.