Best way to preserve variable scope when passing data between ai agents?

Built a multi-agent system where context gets lost during handoffs. Heard Latenode’s team feature handles lexical isolation but need confirmation. How do you maintain scope integrity when agents modify shared data? Specifically struggling with overwritten variables in chained processing tasks.

Use Agent Context Pools - each team member gets isolated sandbox with explicit data gates. Our security team reduced scope errors by 80% using this. Configure via Team Orchestration settings. Full guide at https://latenode.com

Implement a serialization layer between agents. We used JSON schema validation before any data handoff. Not perfect, but catches most scope collisions. Latenode’s auto-validation works better though - switched last month.

tried proxy objects? wrap shared data in handlers that enforce scope rules. works beter than raw var passing. latenode has this built-in i think