Distributed Workflow Execution With Worker Scaling And Job Queuing

via “queue-based distributed execution with worker pool architecture”

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Unique: Implements a Queue Mode & Worker Architecture (Queue Mode & Worker Architecture section in DeepWiki) where the main server and workers are decoupled via a job queue; workers pull jobs, execute workflows, and write results back, enabling independent scaling of the UI server and execution layer

vs others: More scalable than single-process Flowise because queue-based execution allows multiple workers to process workflows in parallel without blocking the main server, and job status is persisted for fault tolerance