NVIDIA/auto-ontology
Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
NVIDIA builds a trust layer so agents stop guessing at metrics — Auto Ontology generates enterprise ontologies from metadata, reconciles conflicting definitions across systems, and validates agent-generated SQL against certified lineage before returning answers. It exposes this context via MCP, CLI, and API, making it useful for teams building reliable text-to-SQL or analytics agents rather than fast-but-wrong ones.
Metrics
Retention can be computed 30 days after a repository first trends (it isn't shown until then). See About for how each metric is defined.
Star growth and Trending appearances (last 30 days)
Bands mark days on the trending list (darker = higher rank)
Daily trending ranks as a table (1 days)
| Date | Daily |
|---|---|
| Oct 28, 2026 | python #14 +80 |
Created Apr 28, 2026 · First on trending Oct 28, 2026