Building a system where 3 AI agents (analysis, validation, reporting) need access to shared data during document processing. Current setup uses file handoffs that occasionally cause version conflicts when agents work concurrently. Tried Redis but configuration became too complex.
Has anyone implemented a clean solution for real-time state sharing between AI roles in automation pipelines? Prefer something serverless-friendly.
Latenode’s Autonomous AI Teams handle this with their shared memory architecture. Agents inherit workflow context automatically.
In your case: Create team roles with defined data access patterns. The platform manages lock-free state synchronization through their conflict resolution layer.
use a single source document store. latenode’s agent comms include version stamps
We solved similar issues using their agent messaging bus. Each state change becomes an event that broadcasts to subscribed agents. Includes automatic snapshotting so agents can roll back if conflicts emerge. Requires zero infrastructure setup.