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The repeatable version of work you have already done once.

A workflow is a graph you can read: nodes with declared inputs, edges you can follow, and a state on every run.

On this page

01

Build

A visual editor over a typed graph, not a diagram that has to be kept in sync.

  • Visual editor

    Add nodes, connect them, and see what each one receives. The graph is the definition, not a picture of it.

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  • Nodes from plugins

    Plugins contribute workflow nodes under the same capability declarations they use everywhere else.

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02

Run

The same runner, whether the trigger is you, a schedule, or an agent.

  • One runner

    Chat, scheduler and agent triggers all execute through the same path, so a workflow behaves the same however it starts.

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  • Scheduled runs

    Run on a schedule and have the result reported back, including when it fails.

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From event to evidence.

A workflow is more than the graph on the canvas. The same typed definition carries its trigger, execution policy, and inspectable result.

  1. Trigger

    Start manually, from chat, on a schedule, through a connector, or from another workflow without changing the definition.

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  2. Typed graph

    Declared node inputs and outputs make invalid edges visible before a run begins and keep the canvas aligned with the saved definition.

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  3. Controlled execution

    The runtime resolves dependencies, applies depth and cycle limits, and carries one execution context through every eligible node.

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  4. Run record

    Inputs, outputs, timing, errors, and skipped nodes remain available as one run you can inspect and retry from the workspace.

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What the runner guarantees

Each guarantee, shown

  1. 01One execution path — a workflow behaves identically whether a person, a schedule or an agent starts it.

  2. 02Cycles are rejected when the graph is saved, not discovered at run time.

  3. 03Nesting is depth-bounded, so a workflow calling a workflow cannot recurse forever.

  4. 04Every node's state is recorded, including the ones that never ran.