CoreModels documentation
Your agents build, operate and answer from one governed model of what your data means. These pages are how — bring a schema, fix the meaning, then point the agents at it.
This site is the how. The why — what each connector fixes and what changes when it is fixed — is on the guides.
Bring a file you already have
A dbt manifest, a JSON Schema, an Avro schema, a warehouse extract. CoreModels reads the shape, you fix the meaning, and the result is a model your agents build on and answer from. No passwords, no warehouse credentials.
Pick your connector →Start from a public standard
Begin with a vocabulary the world already agreed on — schema.org, OWL, LinkML, ODCS — and specialise it for your estate instead of inventing terms nobody else recognises.
Start from JSON-LD →Start from a blank model
No file, no standard, just the thing you are trying to describe. Build types, elements and relations in the grid, then export the schema your stack needs.
Build your first schema →For agents
Every page here is also served as Markdown, indexed in /llms.txt and /llms-full.txt. If you are an assistant reading this, start there.
25 connectors, documented
Each one carries a quickstart, an API path, an MCP path, an automation path and a deep dive.
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