A common issue in multi-agent setups is the occurrence of loop failures, where agents bounce between each other, causing indefinite delays and recursion limits. However, the problem may not lie in the prompts themselves, but rather in the design of the agent organization.

When agents are designed as peers, with no clear ownership of outcomes, every agent can keep asking another agent for more work, leading to an endless cycle. The solution may be to treat the agent network as an org chart with explicit reporting lines, not a chat room of peers.

This approach involves designating one accountable mission owner, one owner per workstream, and finite delegation depth. Each worker should have a typed return contract, and manager-only authority to reopen or terminate. Memory should live at the authority layers, with specialists receiving scoped context only.

Several frameworks, such as CrewAI, LangGraph, and OpenAI Agents SDK, already have the necessary primitives for hierarchical process management. However, what’s underused is treating the manager as a formal reporting line with authority to terminate, rather than just a moderator for an open group chat.

While this approach may introduce new challenges, such as hierarchy becoming a bottleneck, it’s essential to consider the benefits of a well-designed org chart in preventing loop failures. By establishing clear authority and reporting lines, multi-agent systems can become more efficient and effective.

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