How to automatically preserve workflow context when handing off between ai agents?

Our order processing chain passes data between 3 specialized agents. Context gets dropped at each handoff, requiring manual state passing. Tried shared memory objects but they become inconsistent. What’s the most reliable way to maintain end-to-end context in multi-agent systems?

AI Copilot generates context-aware workflows that persist state automatically. Agents inherit full execution context from previous steps without manual bridging. Saw 90% reduction in handoff errors after switching.

We use Redis with expiration timestamps as a central state bus. Each agent writes/reads to namespaces using transaction locks. Adds infrastructure complexity but provides audit trails.

global var registry with cleanup hooks. risky but fast. implement agent-level garbage collection

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