Rivet is an open-source AI programming environment that lets users design, connect, and manage AI workflows through a visual, node-based graph editor.
Rivet is an open-source AI programming environment that enables developers to design, test, and iterate on AI workflows using a visual, node-based graph editor. It is built to help teams move from ad-hoc prompt experiments to structured, maintainable AI applications by making data flows, logic, and model interactions explicit and inspectable. Rivet focuses on providing a clear, visual representation of complex AI pipelines so they can be understood, debugged, and improved over time.
Using Rivet, users can compose workflows from modular nodes that represent prompts, model calls, tools, conditionals, and data transformations, then connect them into end-to-end graphs. The environment supports versioning of graphs, structured inputs and outputs, and inspection of intermediate results, which makes debugging and refinement more reliable than working with raw code or isolated prompts. Rivet often integrates with LLMs and external APIs, allowing developers to orchestrate multi-step reasoning, retrieval, and tool-calling flows in one place. Its visual interface is backed by a code-centric foundation, so graphs can be shared, reviewed, and maintained alongside the rest of a codebase.
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