EduGraph

Grounded Open Source AI For Education

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AI Basics for Education

Identify competencies in raw educational content for any purpose & standard.

Step 1

Capture Learning

Capture paper exercises, textbook PDFs, classroom videos, or digital games.

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Step 2

Extract Competencies

Extract competencies with Open Vision-Language & Embedding Models.

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Step 3

Map to Everything

Map competencies to educational standards & curriculums.

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Capture Progress Everywhere

Preview
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Worksheets

Take a photo of a paper exercise to identify trained competences

World Interactions

Record classroom teaching instructions on video for analysis

Ebooks & PDFs

Automatically annotate all your digital learning material

Digital Interactions

Track progress in digital learning games and platforms

Extract & Utilize

Track the Journey Track the Journey
Learn How

Web Ontology

Apache 2.0 licensed Ontology as OWL, RDF and Language Types

Github

Classification Model

4B Parameter Model based on Qwen3-VL for Ollama & vLLM

HuggingFace

Embedding Model

Knowledge Graph Embedding Model (R-GCN) available as ONNX

HuggingFace

Speak One Language

Ontology Ontology
Browse Ontology

Competency Relations

Map prerequisite, co-requisite, and progression paths between learning goals

Curriculum Alignment

Align learning materials across national, regional, and institutional standards

Interoperable Formats

Export knowledge graphs in open RDF, OWL, and JSON-LD standards

Grounded Production AI

Anchor generative AI models strictly to verified educational taxonomy definitions