NVIDIA/auto-ontology

★533Python🇺🇸 North AmericaApache-2.0⑂ 67Issue 22Updated Oct 29, 2026

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.

AI agents

Metrics

Relative growth (7d)+89%Growth over the last 7 days relative to size
Acceleration+1534%Change in growth pace from the week before
Attention99The three metrics scaled to 0–100 and combined

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)

First listed+170★/dayDaily
Sep 30, 2026Oct 29, 2026

Bands mark days on the trending list (darker = higher rank)

Daily trending ranks as a table (1 days)
DateDaily
Oct 28, 2026
python #14 +80

Created Apr 28, 2026 · First on trending Oct 28, 2026

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