Open Source

Aegis-Graph

The Sovereign Academic Audit Protocol

A decentralized framework engineered to safeguard academic integrity in the age of synthetic data. Powered by Agentic GraphRAG and a collaborative Multi-Agent Reasoning Swarm (MARS), Aegis-Graph operates as a global, sovereign protocol for credential verification.

Live Dashboard Demo

Try Aegis-Graph in Your Browser

Upload credentials, run audits, and explore the sovereign academic verification protocol.
Note: This is a non-production UI demo. Professional verification requires server-side document parsing and signed audit responses.

Executive Vision

Why Aegis-Graph Exists

The Problem

In 2026, AI-generated synthetic data can produce convincing-but-fraudulent academic credentials. Traditional verification methods — PDF signatures, email confirmations, manual registry lookups — are no longer sufficient against sophisticated deepfakes and document forgeries.

The Solution

Aegis-Graph combines Agentic GraphRAG with a Multi-Agent Reasoning Swarm to cross-reference credentials against institutional evidence graphs, detect AI-generated artifacts via pixel-level forensics, and produce cryptographically signed audit trails — all without central authority dependency.

"In an era of synthetic data, truth must be sovereign." — ACLAS Sovereign Node Group
Architecture

Multi-Agent Reasoning Swarm (MARS)

Four specialized AI agents collaborate, each handling a distinct layer of the audit protocol, reaching consensus before issuing a final verdict.

Vision Agent

Pixel Forensics — detect AI-generated artifacts in digital credentials via pixel-level and OCR-based analysis

Stage 1
Graph Agent

Graph Navigator — cross-reference with institutional evidence using local index + ROR lookup

Stage 2
Logic Agent

Logic Auditor — evidence-weighted consistency checks for registry status, timelines, and blacklist aliases

Stage 3
Consensus Layer

All agents reach consensus before issuing a final Sovereign Audit Certificate

Final

Audit Pipeline

1. Ingest Credential 2. Vision Forensics 3. Graph Navigator 4. Logic Auditor 5. Consensus + Certificate
Architecture

Multi-Agent Reasoning Swarm (MARS)

Aegis-Graph operates via a collaborative Multi-Agent Reasoning Swarm. Each agent handles a specific layer of the audit protocol, reaching consensus before issuing a final verdict.

Vision Agent

Pixel-level & OCR-based AI artifact detection in digital credentials

Graph Agent

ROR Node Sync — cross-reference with institutional evidence databases

Logic Agent

Chain-of-Thought validation — evidence-weighted consistency checks

Consensus Layer

All 3 agents reach consensus → Sovereign Audit Certificate issued

Audit Flow

Digital Credential
MARS Swarm
Vision Agent + Graph Agent + Logic Agent
Consensus Layer
Sovereign Audit Certificate
Global Reach

8-Language Matrix

Aegis-Graph is fully localized for international adoption, serving academic institutions worldwide with a truly multilingual audit interface.

🇺🇸 English 🇨🇳 中文 🇪🇸 Español 🇫🇷 Français 🇩🇪 Deutsch 🇯🇵 日本語 🇰🇷 한국어 🇵🇹 Português

Sovereign Commitment

Local PII Scrubbing ZK Evidence (Roadmap) Tamper-Evident Audit Open Governance

Governed by the AEGIS-GRAPH Open Governance Board with technical support from the ACLAS Sovereign Research Group.

Quick Start

Get Started in Seconds

Clone
git clone https://github.com/aclascollege/aegis-graph.git
Initialize
pip install -r requirements.txt
Launch
python main_pipeline.py
Roadmap

What's Next

Server-Side Document Parsing
Signed Audit Responses
Zero-Knowledge Evidence
Reproducible Benchmarks
Citation

Cite This Project

If you use Aegis-Graph in your research, please cite it using the BibTeX entry below. This helps others discover and build upon this work.

Academic Citation

BibTeX · MIT License

  • Author: Atlanta College of Liberal Arts and Sciences
  • Year: 2026
  • License: MIT — free for academic & commercial use
  • Repository: github.com/aclascollege/aegis-graph
aegis-graph.bib
@software{aclas_aegis_graph_2026,
  title     = {Aegis-Graph: The Sovereign Academic Audit Protocol},
  author    = {{Atlanta College of Liberal Arts and Sciences}},
  year      = {2026},
  url       = {https://github.com/aclascollege/aegis-graph},
  note      = {Open-source decentralized academic credential verification framework},
  institution = {ACLAS, \url{https://aclas.college}}
}

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ACLAS develops sovereign, transparent AI tools for the future of education and academic integrity.