Skills
Fix multi-agent failures with a shared persistent context layer, not a different orchestration pattern
The primary reason multi-agent systems fail in production is context inconsistency, not the choice of centralized vs. hierarchical orchestration — individual agent memory is transient, so the durable fix is a separate shared context layer that acts as the persistent state store across pipeline steps. In practice that means decoupling 'what this agent is thinking right now' (ephemeral) from 'the agreed facts every agent must see' (a governed shared store), and deciding explicitly what gets promoted into it. Builders debugging flaky agent handoffs should stop swapping topologies and instead audit where state actually lives and how old context is prevented from polluting new answers.
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