AutoR is a structured research operating system that turns long, messy research work into reproducible, artifact-backed runs. It wraps a coding agent execution layer (supporting Claude and OpenAI models) with an intake process followed by 8 configurable stages, requiring human approval at key points. Each run produces inspectable artifacts on disk, and a local browser Studio provides visibility into the research process.