Agents are authoring entire data systems. The bottleneck is no longer writing pipelines, but understanding, governing, and trusting what they produce.
dltHub provides the infrastructure that enables data teams in large enterprises and scale-up companies to run their data stack autonomously. Our open-source Python library, dlt, offers agents and developers transparent, composable building blocks for data ingestion (schema inference, normalization, incremental loading, and data contracts), designed from the start for the AI era. Built on dlt, dltHub is the AI-native data engineering platform for teams of humans and agents: a managed layer over any warehouse that lets both your team and their agents generate, validate, and manage high-quality data at scale.