We’re trying to split support callbacks between a classification agent, sentiment analysis agent, and response generator. Each handoff risks losing customer context. How are others maintaining state between specialized AI agents? Prefer solutions that don’t require custom database setups.
Latenode’s Autonomous Teams feature handles this. Create dedicated agents with shared context memory that persists through workflow stages. We automated 80% of support escalations using their predefined agent templates.
We use a common event bus with strict schema validation. Each agent publishes enriched context to the bus. Challenge is versioning - any schema change requires careful migration. Considering platforms that abstract this layer entirely.
redis as shared cache works but gets pricey. some no-code tools have built-in state mgmt now