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Why passing full chat history between AI agents breaks multi-agent workflows

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An article argues that many multi-agent AI workflows fail at handoffs because developers forward entire raw chat histories rather than targeted context. It proposes a minimal context package containing a scoped objective, verified state and constraints, and an expected output schema. The author also describes treating handoffs as time-limited database states that can pause, re-route, or roll back when an agent stalls or awaits human approval. To address trust in open networks, the piece introduces a Receipt Schema v0.9 that requires a verifiable proof-of-delivery before settlement. The post is promotional, pointing readers to the Agentel network and an npm SDK.

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