multi-agent-patterns

Multi-agent coordination architectures break complex tasks into parallel sub-tasks routed across specialized agents using supervisor, swarm, or hierarchical patterns. This prevents context loss and reduces processing bottlenecks by isolating execution scope per agent.

Peer-to-peer handoffs require explicit handoff protocols to transfer tasks directly between collaborating agents. This flexible routing approach bypasses rigid central control, allowing specialized agents to exchange context and continue execution dynamically.

Multi-agent systems apply failure recovery controls like retries, checkpoints, and circuit breakers to manage errors. For disagreements, consensus mechanisms such as weighted voting and debate resolve conflicts and ensure reliable aggregated outputs.

Use hierarchical multi-agent patterns for large workflows requiring distinct strategy, planning, and execution layers. Supervisor orchestration is better suited for routing work directly from a central coordinator to specialized agents without layered delegation.

Yes, multi-agent patterns design research pipelines by assigning searching, analysis, synthesis, and review to different specialized agents. The system combines these isolated parallel outputs into a final deliverable using defined handoff protocols.

No external dependencies are required to implement consensus mechanisms or coordination patterns. The architecture defines weighted voting, debate, and circuit breaker controls natively within the multi-agent workflow design.