The context layer between your data and the agents that query it. Your business definitions live in a git repository you own; Cassis grounds every question in them, detects where the context is wrong or missing from real use, and keeps it true through pull requests you review.
getcassis.com · docs · blog
Two ways in, depending on whether you want to see it or use it.
| cassis-demo-stallora | See the whole loop on a sample marketplace warehouse. Fifteen minutes, from your own terminal and your own agent, nothing of yours involved. |
| cassis-ontology-starter | Start an ontology on your own schema. The CI gates, the MCP config and the modeling guide, with none of the content — that part is yours. |
Both are GitHub templates: use the template, don't fork.
| cassis-cli | Validate, test and eval an ontology from your terminal, then publish it. The same commands run in CI to gate pull requests. pip install cassis-cli |
| skills | Agent skills for authoring an ontology and for querying through MCP. /plugin marketplace add GetCassis/skills |
| cassis-ontology-examples | Two complete ontology trees to copy from: a minimal skeleton and a fully authored one. |
| dbt-agent-readiness | Audit a dbt project for what an AI agent will get wrong if you point it at the data today. Runs on your own repository; no Cassis account needed. |
| research | Benchmarks, harnesses and the run data behind our write-ups. |