| # 🛡️ Aegis-Graph Documentation |
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| Welcome to the official technical documentation for **Aegis-Graph**, the sovereign academic audit protocol. This documentation provides a comprehensive guide to the architecture, multi-agent frameworks, and institutional graph evidence models that power decentralized academic integrity. |
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| ## 🏛️ Executive Summary |
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| Aegis-Graph is an open prototype for a multi-agent framework designed to identify academic fraud and synthetic credentials. Governed by the **Atlanta College of Liberal Arts and Sciences (ACLAS)**, it replaces manual verification with **Agentic GraphRAG** evidence processing. |
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| ## 🧩 Documentation Pillars |
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| ### [1. Core Architecture](chapter2.md) |
| Explore the **Defense-in-Depth** model, comprising the Data Ingestion Layer, GraphRAG Evidence Engine, and Logic consensus protocol. |
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| ### [2. Multi-Agent Reasoning Swarm (MARS)](chapter3.md) |
| Deep dive into the specialized AI agents (Vision, Graph, and Logic) that perform the audit handshake. |
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| ### [3. Institutional Evidence (SAG)](chapter4.md) |
| Technical details on our evidence model, integrating local institutional indices with optional ROR and OpenAlex registry support. |
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| ### [4. Deployment & Integration](chapter8.md) |
| Step-by-step instructions for launching local nodes, environment configuration, and pipeline integration. |
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| ## 🛠️ The Path to Sovereignty (Roadmap) |
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| | Phase | Milestone | Status | |
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| | **V1.0** | Institutional Index Integration | ✅ Complete | |
| | **V2.0** | Agentic Reasoning Swarm (MARS) Prototype | ✅ Complete | |
| | **V2.5** | Evidence-Weighted Logic Audit | ✅ Complete | |
| | **V3.0** | Server-Signed Audit Certificates | 🚧 In Progress | |
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| > [!TIP] |
| > To get started immediately, we recommend following the [Quick Start Guide](../../README.md#🛠️-quick-start) in the root directory. |
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| ## 🏛️ Governance & Authority |
| Aegis-Graph is governed by the **AEGIS-GRAPH Governance Board**, with core support and academic validation provided by the [Atlanta College of Liberal Arts and Sciences (ACLAS)](https://aclas.college/). |
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| © 2026 [ACLAS College](https://aclas.college/). All rights reserved. |
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