Open-Source AI Research

Open Source AI Projects

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

DOI License Nodes Tests

ACLAS develops and maintains open-source AI projects that support education, verification, and transparent tooling. Explore the projects below.

AI + Education

Neuro-Edu SDK

Autonomous Cognitive Simulation Framework for AI-Powered Education

A research-grade, open-source multi-agent cognitive simulation framework that models human knowledge acquisition using on-device neural networks, vector-space semantics, and thermodynamic entropy analysis.

On-Device Neural Kernel

Pure NumPy MLP with real backpropagation

Multi-Agent Social Learning

20+ autonomous agents in collaborative environments

Cognitive-Grounded Alignment

Extended RLHF with cognitive penalty terms

Hugging Face Integration

Collaborative research and federated evaluation

Tech Stack

Python 3.10+ FastAPI NumPy MIT License Zenodo DOI Hugging Face
DOI License Python FastAPI

Architecture

Agentic GraphRAG 102k+ Nodes Multi-Agent Swarm Audit Trail 8-Language Matrix Vision Forensics
Nodes Security Engine
Academic Integrity

Aegis Graph

Open-source academic credential verification prototype

A public framework for exploring evidence mapping, review workflows, and transparent credential verification in the age of synthetic data.

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

Transparent review records for credentials

Explore our sustainability commitments

Learn how ACLAS integrates open-source AI innovation with responsible and sustainable education practices.