The Missing Layer: Why AI-Native Systems Need Execution-State Continuity

This article identifies a critical missing layer in AI-native systems: execution-state continuity, which hinders long-horizon agents. It explains that current systems lack a mechanism to preserve the live runtime state of agents across interruptions, causing them to lose significant progress despite retaining memory of past decisions.