DataChain

The Context Layer for unstructured data

The Model Floor Is the Same for Everyone. The Context Ceiling Is Yours.

A Python library that turns files in S3, GCS, and Azure into versioned, typed datasets, queryable at warehouse speed.

Bytes never leave your storage. Two core components: a Compute Engine for parallel Python over files, distributed on Studio, and a Dataset DB for sub-second queries over Pydantic-typed records. For agent workflows, two more: a Knowledge Base of markdown summaries and an Agent Harness (a skill locally, MCP on Studio) that plugs all of it into Claude Code, Cursor, and Codex, so they understand your data.

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• 🤖 Agents - knowledge base for Claude Code, Codex, and Cursor
• 🐍 Python - full control over data processing
• 💡 Concepts - the Dataset DB, the Compute Engine, and the Knowledge Base
• 🧩 Use Cases - patterns where the harness changes the work