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Open Source AI Projects

Explore ACLAS open-source AI projects focused on education technology, transparent verification, and research prototypes.

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Open Source AI Projects

ACLAS publishes two open-source AI projects: the Neuro-Edu SDK (AI + Education) and Aegis Graph (Academic Integrity).
Neuro-Edu is a multi-agent cognitive simulation framework using on-device neural networks, vector-space semantics and thermodynamic entropy analysis.
Neuro-Edu features: on-device neural kernel with real backpropagation; 20+ autonomous agents in collaborative environments; cognitive-grounded alignment with extended RLHF; Hugging Face integration.
Neuro-Edu tech stack: Python 3.10+, FastAPI, NumPy, MIT License, Zenodo DOI, Hugging Face.
Neuro-Edu architecture: Agentic GraphRAG; 102k+ Nodes; Multi-Agent Swarm; Audit Trail; 8-Language Matrix.
Aegis Graph is an open-source academic credential verification prototype.
Aegis Graph features: Vision Forensics (pixel-level and OCR-based AI artifact detection); Graph Navigator (institution evidence with ROR lookup); Logic Auditor (evidence-weighted consistency checks); Audit Trail.
Both projects link to public GitHub repositories.

Details

Key information

Projects: 2 — Neuro-Edu SDK; Aegis Graph
Neuro-Edu license: MIT License
Neuro-Edu stack: Python 3.10+, FastAPI, NumPy, MIT License, Zenodo DOI, Hugging Face
Neuro-Edu graph size: 102k+ Nodes
Neuro-Edu language matrix: 8-Language Matrix
Aegis Graph lookup source: ROR (Research Organization Registry)
Repositories: https://github.com/aclascollege/neuro-edu ; https://github.com/aclascollege/aegis-graph

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Research-grade, open-source frameworks advancing education technology, academic integrity, and transparent verification. Built by ACLAS from first principles — not API wrappers.

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