aegis-graph / README_HF.md
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metadata
license: mit
language:
  - en
  - zh
  - es
  - fr
  - de
  - ja
  - ko
  - pt
tags:
  - agentic-ai
  - graphrag
  - academic-integrity
  - knowledge-graph
  - security

🛡️ Aegis-Graph: Sovereign Academic Audit Protocol

Aegis-Graph is an open prototype for academic credential review using a multi-agent pipeline, institutional graph evidence, and logic-auditing rules.

Current status: public dashboards are demos/local previews. They do not issue browser-side credential approvals. Production verification requires server-side document parsing, issuer evidence, revocation checks, and a signed audit response.

Current Components

  1. Vision Forensics Agent — currently a deterministic demo extractor; OCR and pixel-level forensics are roadmap work.
  2. Graph Navigator Agent — resolves institution evidence from a local index and optional ROR lookup. A ROR match is supporting evidence, not proof that a credential is authentic.
  3. Logic Auditor Agent — applies blacklist alias checks, lifecycle/timeline checks, registry status checks, and credential-evidence checks to return APPROVED, NEEDS_REVIEW, or REJECTED.

Evaluation

Reproducible production benchmark numbers are not published yet. Earlier precision/latency claims have been removed until a public benchmark suite is available.

Local Smoke Test

pip install -r requirements.txt
python main_pipeline.py
python examples/aclas_college_demo.py

Governance

Maintained by Atlanta College of Liberal Arts and Sciences (ACLAS).

For more information, visit the GitHub repository.