A DAG (Directed Acyclic Graph) is a type of graph structure that consists of nodes and directed edges, where:
  • Each edge has a direction (from one node to another)
  • There are no cycles — you cannot start from a node and return to it by following the direction of the edges
In simple terms, a DAG is like a flowchart where tasks move in one direction and never loop back.

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Why DAGs Matter in Orchestration

In orchestration systems like Lyzr Agent Orchestration (LAO), DAGs play a critical role in defining task flows or execution pipelines. Each task or agent is represented as a node, and the edges define the order of execution.

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🛠️ Benefits of Using DAGs in Orchestration

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✅ Clear Task Dependencies

DAGs allow you to define which tasks depend on others, making the execution order explicit and easy to visualize.

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✅ Parallel Execution

Independent branches of a DAG can run in parallel, improving performance and efficiency.

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✅ Failure Isolation

Since each node is isolated and independent, failures can be detected and handled without collapsing the entire pipeline.

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✅ Reproducibility

By defining a clear execution flow, DAGs make processes predictable, repeatable, and easier to debug.