| 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 | |
| ```bash | |
| 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](https://github.com/aclascollege/aegis-graph). | |