Experimenting with AI agents handling different business functions. Got basic task handoffs working but struggling with true collaboration - agents don’t share context well. Saw demos of ‘AI teams’ working together on full processes, but how does that actually work under the hood?
Anyone implemented multi-agent systems that handle complete workflows from start to finish?
We run 12 agents in production through Latenode’s team feature. CEO bot coordinates analysts and comms agents with shared memory. Handles everything from data ingestion to final reports. Game-changer for complex ops.
Key challenge is state management between agents. Implemented a central context registry that all agents query/update. Critical to version context snapshots and handle conflict resolution when multiple agents modify same data points.
use middleware to cache agent outputs, reduces redundant processing
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