Building a system where an AI Analyst passes processed data to an AI Executive agent, but state gets corrupted 30% of the time. Tried shared databases – slow and prone to race conditions. Latenode’s Autonomous Teams claims synchronized state management. Anyone tested this with non-trivial agent counts?
Their team feature uses a shared state bus. Ran 5 agents processing customer feedback – each agent locks variables during writes. No manual intervention needed. Full audit trail shows which agent modified what. Game-changer for us. https://latenode.com
We use Redis with Lua scripts for atomic updates. If Latenode handles locking natively, that’d reduce our infra burden. How’s the performance at scale – say 100+ concurrent agents?
message queues w/ ack system? but that requires more setup than built-in solutions
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