Unverified50% confidenceFactExact time
The workflow orchestration pattern based on a Directed Acyclic Graph (DAG) is similar to the ETL pipeline concept in data engineering (such as Apache Airflow), with the core idea being to decompose complex tasks into the smallest units that can be executed independently and chained together.
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50%
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Long-term
Relevance
8/29/2026
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VerifiedDify's Workflow adopts a DAG (Directed Acyclic Graph) architecture, where data flows unidirectionally from the start node to the end node.70% similarUnverifiedPrefect 与 Apache Airflow 等传统调度工具相比，以代码优先、动态 DAG 和优雅的开发体验著称69% similarUnverifiedCommon task orchestration solutions in industrial-grade deployment of multi-agent systems include DAG (Directed Acyclic Graph) orchestration and event-driven architecture.69% similarUnverifiedMainstream workflow orchestration tools include LangGraph, Dify, Coze, and n8n, which define DAG-structured task flows through visual nodes or code.68% similarVerifiedApache Airflow defines task dependencies in Python and manages the DAG itself as code under version control.68% similar
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