Developed and delivered persistent session memory for the Assistant feature in the rokwire/illinois-app repository, enabling the application to retain user context across multiple interactions. This work involved architecting end-to-end session management by integrating changes across the Assistant model, service layer, local storage, and user interface. Utilizing Dart and Flutter, the implementation leveraged state management and API integration to support coherent, personalized conversations that remember user goals and preferences between chats. The feature established a foundation for goal-driven, context-aware engagement, with clear commit-level traceability and a focused scope, enhancing the overall user experience without introducing new bugs during the release.