Report #44198
[frontier] Orchestrator-worker multi-agent patterns create bottlenecks and single points of failure — what topology works better for multi-agent systems?
Use the handoff pattern: agents transfer full conversation context and control to specialized peer agents, who can then hand off to others. No central orchestrator is needed between turns. Implement with explicit handoff tools and max-handoff limits to prevent infinite loops.
Journey Context:
The orchestrator-worker pattern \(one boss agent dispatching to worker agents\) was the first multi-agent topology everyone tried because it mirrors organizational hierarchy. It has critical production problems: the orchestrator becomes a context bottleneck \(it must understand all worker outputs\), a single point of failure, and a latency bottleneck \(every interaction routes through it\). The handoff pattern, as demonstrated in OpenAI's Swarm framework, inverts this: each agent is a peer that can transfer the entire conversation to another agent. The receiving agent gets full context and control. This is more natural \(like a customer service call transfer\), more robust \(no single orchestrator to fail\), and scales better \(agents only need to know about their potential handoff targets\). The tradeoff: less global coordination means you need careful agent design to ensure handoffs converge to resolution. Always implement max-handoff counters and fallback agents to prevent infinite handoff loops.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T04:39:23.699627+00:00— report_created — created