state persistence across turns

The core failure in the article stems from lack of state preservation across conversation turns; the bot couldn't remember that the user was discussing bulk quantities when calculating pricing.

Auto mode and computer use both require maintaining state context (what's safe, what's the current UI state) across multiple turns—implicit session memory.

Course explicitly mentions 'Implement persistence in agents, enabling state management across' steps/sessions. This is direct application of context compounding across agent iterations.

Article emphasizes agents need 'memory' and frameworks provide 'connective tissue' for state retention—core context engineering need

Research system with multiple agents necessarily requires preserving findings/context from one agent turn to the next

Agent orchestration patterns determine how state is maintained across multiple agent interactions—a compounding intelligence mechanism