As AI moves from experimental chat interfaces to production-grade agents, the need for a foundational memory layer to transform these AI-powered tasks into stateful models is apparent. The absence of a robust memory layer causes agents to lose vital statefulness, leading to: Inability to maintain long-term recall. Without persistent memory to track context across sessions, an agent might recognize specific user preferences in January but fail to apply that data months later, requiring the user to repeat the entire briefing.