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What is Datus

The problem, the product, and the thesis behind it.

Why agents, not copilots

The shift from assistive AI to autonomous data workflows.

Architecture and pipelines

How Datus works under the hood — agent design, storage, ETL, and pipeline automation.

Why context is everything

Semantic models, structured context, and what makes agents reliable.

Tooling and integrations

MCP, extensions, and how agents connect to real data systems.

In practice

Real use cases and how agentic data teams operate.

Releases

Reference

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