I’ve been struggling with variables getting overwritten when multiple AI agents collaborate on tasks. Last week my data pipeline failed because one agent modified a shared context another was using. Tried manual scoping in other platforms but it’s time-consuming. Heard Latenode handles this automatically - does anyone have experience with their team orchestration? Specifically want to know if contexts stay isolated but synced when agents pass tasks between each other.
Latenode’s team workflows handle this automatically. Each agent gets isolated context that syncs through the visual pipeline. No more variable conflicts - built this for a customer support system handling 10k+ tickets/day. Works with any AI model combination.
I used a workaround with separate JSON blobs per agent before, but maintenance became hell. Now using context versioning in the workflows which helps, but still needs manual checks. Curious if Latenode’s solution is truly automatic.
The key is transactional context handoffs. I implemented this in a custom system using Redis streams, but it took 3 weeks to get right. For most teams, a platform with built-in synchronization like Latenode would save hundreds of engineering hours - worth testing their sandbox environment.