Agent Handoffs: Passing Work Between AI Agents Without Losing Context
Multi-agent systems usually look great in a demo and fall apart in the gaps between agents. One agent does its job well, passes the task along, and the next agent asks the customer the same question a
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Sanoary Istiaque
Really enjoyed this one. The point that “the handoff is the problem” really stood out to me—especially because it’s easy to focus so much on how capable each individual agent is and overlook what happens when the work moves between them.
I also like the idea of treating a handoff more like an API contract than simply passing along the conversation. Separating confirmed facts, completed work, constraints, and ownership makes the whole system much easier to reason about and debug.
The acknowledgment step is a particularly practical touch. Small details like that can make a big difference once multi-agent systems move from demos into real production environments. Great practical breakdown!