Agent Orchestration

Based on community signals so far, Agent Orchestration refers to a framework or set of patterns for managing the lifecycle and communication of multiple AI agents that operate asynchronously over extended periods. Unlike simple single-turn agent systems, this approach handles multi-session workflows where agents may need to pause, resume, or coordinate with each other across different contexts. The core problem it solves is the complexity of orchestrating non-blocking, event-driven interactions between agents, especially in production environments where reliability and state management are critical. Early discussions suggest it draws inspiration from distributed systems and task queues, applying them to the agent ecosystem. This is still an emerging concept, and concrete implementations are not yet widely documented.

Increased community chatter on X about async agent patterns and references to 'agent orchestration' as a distinct architectural concern, likely driven by the need for more robust multi-agent coordination beyond simple chains.