Topics / #ontology

Ontology projects on GitHub

Formal knowledge representation with concept hierarchies.

As of , the most-starred Ontology projects on GitHub are semantica (14.3K stars), utopia (8.6K stars) and open-ontologies (1.8K stars). GitHub.Locker tracks 5 Ontology repositories with 27K stars combined. The fastest-growing on October 26 was open-ontologies, with +202 stars in a day.

5Projects
27KStars in total
+349Stars in a day

Hot right now

Most stars gained in a day · Oct 26

The all-time top

5 projects · by stars

  1. #1 · semantica-agi/semantica

    semantica

    Semantica is an open-source, graph-native infrastructure layer that ingests enterprise data and builds a structured Context Graph and knowledge graph with deterministic reasoning, ontology governance, and full decision provenance, so AI systems can be explained and audited instead of treated as black boxes.

    14.3K
  2. #2 · deeplethe/utopia

    utopia

    Utopia is an open-source enterprise world model from DeepLethe: a self-hosted knowledge system that turns documents into a bitemporal knowledge graph you can search, chat with and reason over, running entirely on hardware you control.

    8.6K
  3. #3 · fabio-rovai/open-ontologies

    open-ontologies

    Open Ontologies lets you plan, apply and roll back changes to a production ontology: it shows every consequence as a blast-radius report before you apply a change, then hands the reviewer a proof they can re-check without trusting you or the engine.

    1.8K
  1. 4

    helix-foundry

    1.7KHelixDB/helix-foundry · TypeScript

    Helix Foundry is a local-first data workspace that connects your company's tools (databases, Stripe, WorkOS, PostHog, files, APIs) into one suggested ontology stored in HelixDB, letting you explore and ask questions about your data.

  2. 5

    carrel

    643FengZhenfei/carrel · Python

    Carrel is a self-hosted knowledge base for AI agents. It automates document parsing, indexing, and retrieval, with optional knowledge graphs, so an agent can pull source passages, images, and facts from your documents and answer from them.

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