Superorganism · Coordination Patterns

Coordination Lab

Compare coordination patterns for multi-agent systems and identify which architecture best matches a task's control, scale, resilience, observability, and cost requirements.

ManagerHierarchyPeer-to-Peer SwarmMarketHybrid

Describe your coordination problem

Select the system characteristics that matter most.

Control requirement Agent scale Resilience priority Task structure

This is an architectural aid, not a universal ranking.

Recommended pattern

Generate a recommendation to see the strongest architectural fit.

Coordination pattern matrix

Different patterns optimize different properties. Large systems often combine several.

Pattern	Control	Scalability	Resilience	Observability	Typical fit
Manager / supervisor	High	Medium	Medium	High	Small to medium systems requiring clear delegation and authority
Hierarchical	High	High	Medium	High	Larger organizations with layered responsibility
Peer-to-peer	Medium	Medium	High	Medium	Collaborative agents with flexible handoffs
Swarm	Low	High	High	Low–Medium	Large decentralized populations using local rules
Market / bidding	Medium	High	High	Medium	Dynamic task allocation based on capability, cost, or confidence
Blackboard	Medium	Medium	Medium	High	Specialists coordinating through shared state
Hybrid	Variable	High	High	Variable	Complex systems mixing hierarchy, peer groups, routing, and shared memory

Principle: coordination architecture should match the task. Centralization can improve control and auditability; decentralization can improve resilience and scale. Hybrid designs often emerge when systems need both.