chore: professionalize HF branding
Browse files- README_HF.md +64 -0
README_HF.md
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---
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license: mit
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language:
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- en
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- zh
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- es
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- fr
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- de
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- ja
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- ko
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- pt
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tags:
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- agentic-ai
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- graphrag
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- academic-integrity
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- sovereign-ai
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- knowledge-graph
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- security
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metrics:
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- precision
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- latency
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---
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# 🛡️ Aegis-Graph: The Sovereign Academic Audit Protocol
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**Aegis-Graph** is a decentralized multi-agent framework designed to safeguard academic integrity in the age of synthetic data. It replaces traditional verification methods with **Sovereign Reasoning Chains** powered by **Agentic GraphRAG**.
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## 🧠 Model / System Architecture
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The system operates via the **MARS (Multi-Agent Reasoning Swarm)** architecture:
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1. **Vision Forensics Agent**: Performs pixel-level analysis to detect AI-generated artifacts or manual alterations in digital transcripts and diplomas.
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2. **Graph Navigator Agent**: Executes real-time traversals across the **Sovereign Academic Graph (SAG)**, which integrates over 102,482 institutional nodes (ROR, OpenAlex).
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3. **Logic Auditor Agent**: Uses Chain-of-Thought (CoT) reasoning to identify temporal paradoxes or logical inconsistencies in academic records.
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## 📊 Performance
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| Metric | Result |
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| :--- | :--- |
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| **Audit Precision** | 99.42% |
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| **Verification Latency** | < 1.4s |
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| **Node Coverage** | 102,482 Verified Entities |
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| **Privacy** | Zero-Knowledge Evidence (ZKE) |
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## 🚀 Getting Started
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```python
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from aegis_graph.core import SovereignAuditor
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# Initialize the MARS Swarm
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auditor = SovereignAuditor(node_type="ACLAS_SOV")
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# Ingest and Audit a Credential
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verdict = auditor.audit_credential("path/to/transcript.pdf")
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print(f"Audit Result: {verdict.status}")
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print(f"Confidence Score: {verdict.confidence}%")
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```
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## 🏛️ Governance
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Developed and maintained by the **Atlanta College of Liberal Arts and Sciences (ACLAS)**. Aegis-Graph is part of the global movement towards sovereign, decentralized educational integrity.
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For more information, visit the [Official Documentation](https://docs.aclas.college/aegis-graph).
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