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Workflows are drawn on a canvas as nodes wired together, and where the canvas runs out, JavaScript, Python and npm packages drop into the same flow. AI agents are built on that combination: multi-step runs with branching logic, tool use, human approval steps and observability over the whole run. Models are not pinned, so OpenAI, Anthropic, Google or open-weight models can be swapped without redrawing the architecture. More than 1,500 integrations connect the pieces, and over 9,000 shared workflow templates cover common starting points. Self-hosting begins with one Docker command and the editor opens on localhost:5678, or the hosted cloud does the same work. The licence is fair-code under the Sustainable Use License, which allows source access and self-hosting but is not OSI approved open source.