state management across agents

Article explicitly identifies 'shared state management' as critical for multi-agent stability; this is a core context engineering challenge.

The agent sequencing example (UI→Backend→Database→API) explicitly shows state passing between agents

Article explicitly discusses 'agents update shared state' and 'transitions decide which one acts next'—this is the core state management problem in multi-agent systems.

The article explicitly mentions 'state management' as a component of orchestration. State management is how context persists between agent boundaries.

CrewAI's 'state management' and Swarm's 'shared context' are explicit state preservation mechanisms revealed in the article.