Graflow

Graflow is a workflow engine that lets developers construct data pipelines for large‑language‑model agents using a Python‑based domain‑specific language. Tasks are declared with decorators such as @task, and pipelines are assembled with familiar operators, enabling a declarative style that mirrors ordinary Python code. The engine supports fault tolerance, automatic recovery, and checkpointing so that a workflow can resume from any point after a failure.

Execution is transparent: each step produces detailed logs, lineage information, and clear error messages, which aid debugging and auditing. Graflow also provides built‑in observability features that give users full visibility into the progress and state of their pipelines.

The system is designed to scale from a local development environment to distributed production clusters without changing the workflow definition. By handling distributed execution and offering a simple, Pythonic API, Graflow aims to simplify complex data processing tasks while maintaining reliability and explainability.