Static vs Dynamic Orchestration

Multi-agent coordination architectures fall along a spectrum from static to dynamic:

Static Architecture: Agent roles, communication patterns, and workflows are predefined before execution. The system follows a fixed script. Lower overhead, more predictable, but can’t adapt to unexpected situations. Works well when the problem space is well-understood.

Dynamic Architecture: Agent composition and interaction patterns adapt during execution based on task requirements and intermediate results. An orchestrator may add, remove, or reassign agents in real-time. More flexible, handles novel situations, but introduces coordination complexity and unpredictability.

The emerging pattern: systems increasingly use reinforcement learning to train orchestrators that can dynamically adapt agent configurations, a “puppeteer” approach where a meta-agent learns when to activate which specialists.

Related: 05-atom—collaboration-strategy-taxonomy, 05-atom—communication-structure-taxonomy