Workflow

A Skill is a modular encapsulation that packages specialized capabilities, domain knowledge, and operational norms into reusable units, enabling Agents to invoke them automatically at the appropriate moment.

Workflows in Dify are a stateless task orchestration mode suitable for one-time input-output tasks such as document summarization, data analysis, and batch content generation.

An AI video workflow refers to a standardized production process that connects multiple AI generation tools such as Runway, Kling, and Jimeng with traditional post-production stages according to specific logic.

A checkpoint should contain a stable run or thread identifier, the current workflow step and task status, intermediate results of completed actions, pending actions with retry counts and timestamps, and the schema or workflow version.

The criteria for determining whether a human checkpoint is needed involves asking three questions: whether the action is irreversible, how great the cost of an error is, and how high the probability of AI misjudgment is.

A workflow refers to the linking of multiple processing steps in the form of a node graph, where data flows between nodes according to predefined logic, and each node can be an independent operation such as an LLM call, conditional judgment, code execution, or knowledge base retrieval.

When evaluating whether to automate, factors such as the degree of task standardization, error tolerance, and maintenance costs must be weighed.

In the Agent's execution loop, whether a task is complete is judged by the Agent itself, rather than being hardcoded by programmers in the code.

A workflow chains multiple steps into an ordered process, suitable for scenarios where task logic is fixed and predictable.

The role of a workflow is to break down complex tasks into controllable steps.

In RAG scenarios, an Agent can determine whether retrieval is needed, which knowledge base to retrieve from, and whether multiple rounds of retrieval or external tool calls are required, while a workflow orchestrates multiple steps into a directed graph supporting conditional branching, parallel processing, and loop iteration.

A well-designed single agent is often far superior in cost and latency to a loosely structured multi-agent system while delivering comparable task performance; a multi-agent architecture is only worth introducing when the task genuinely requires division of labor and collaboration.

A workflow chains multi-step tasks into an automated process that can be executed repeatedly.

In terms of Agent strategy selection, empirical testing shows that ReAct is more stable than Function Calling, especially with stronger fault tolerance in complex multi-step, multi-tool collaborative tasks.

Workflow is deterministic: developers pre-define the node sequence and data flow paths, making the execution process predictable and traceable.

A workflow in N8N usually contains three types of nodes: trigger nodes, processing nodes, and output nodes.

An agent is essentially a large model plus tools plus a loop (Agent Loop) and is a special type of workflow; a workflow is a more foundational concept that supports mechanisms such as parallel, serial, conditional branching, and Map-Reduce.

Dify's workflow orchestration adopts a Directed Acyclic Graph (DAG) structure, defining data flow logic by connecting nodes with lines.

A workflow is a set of processes connected in a predefined sequence to accomplish a specific goal, representing orchestration rather than intelligence.

Node graphs are typically represented as directed acyclic graphs (DAGs), with the runtime engine executing the processing logic of each node in topological order.