🎉 Welcome to SAGE: A Secure Agent Governance Ecosystem 🎉

“Building Tomorrow’s Self-Learning, Self-Improving Agent Architectures—Securely and Seamlessly!”

Dive into the future of AI‐driven organizational learning with SAGE, a three‐tier architecture designed to empower agents at every level—Customer, Supervisor, and Manager—while enforcing zero‐trust security and privacy by design! Explore our GitHub Pages site, browse the figure below, and discover how SAGE can transform use cases from elder‐care wellness to enterprise‐scale compliance.

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🌟 SAGE Architecture at a Glance

Figure 1.
Zero trust around all boundaries: Client/Customer ↔ Tier 1 Agents ↔ Secure Database ↔ Tier 2 Supervisors ↔ Tier 3 Managers
(Courtesy: May 2025 SAGE Research Paper, SMU-SAGE-research.pdf)

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🚀 Why SAGE?

• 🔹 Three-Tier Learning Loop

  1. Tier 1 – Customer/Client Agents

     • Directly engage your end-users (e.g., seniors, students, customers) via multi-modal interactions (voice calls, chatbots, smart‐device integration).
     • Continuously collect sentiment, health metrics, or usage patterns.
     • Decide autonomously when to escalate “as needed” to Supervisor Agents.

  2. Tier 2 – Supervisor/Caregiver Agents

     • Aggregate anonymized signals from dozens—or hundreds—of Client Agents.
     • Provide trending analytics, cluster‐level coaching, and specialized prompts (e.g., “Diabetes Management Agent”).
     • Enforce per-client policies pulled from a Secure Database—all under zero‐trust.

  3. Tier 3 – Manager/Policy Agents

     • Oversee system‐wide performance: “What percentage of our clients show elevated distress scores this month?”
     • Adjust high‐level policies and escalation thresholds based on aggregated, de‐identified analytics.
     • Interface with legal/compliance teams to guarantee HIPAA/GDPR readiness.

• 🔹 Zero‐Trust Security

  • End‐to‐End Encryption: AES‐256 at rest, TLS 1.3 in transit.
  • Strict RBAC (Role‐Based Access Control): Tier 2 sees only anonymized aggregates; Tier 3 sees only policy‐level reports.
  • Audit Logging & Consent Management: Every call, every escalation, every policy change—all timestamped and auditable.

• 🔹 Extensible “Agent Pool”

  • Emergency Agents (911 triggers, crisis response).
  • Domain Specialists (e.g., “Sleep & Circadian Rhythm Advisor,” “Cybersecurity Compliance Auditor”).
  • Smart Device Hooks: Wearable integration for passive health metrics or telematics for IoT applications.

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🎯 Key Features & Highlights

• ✨ Self-Improving Loops

  • Tier 1 agents learn from each client’s history.
  • Tier 2 refines coaching strategies based on cluster trends.
  • Tier 3 tunes global policies to optimize KPIs (e.g., wellness improvement, cost savings).

• 🛡 Privacy-First Design

  • On‐Demand Data Purging: Clients can revoke access at any time; raw transcripts are immediately zeroized after extraction of “distress flags.”
  • Minimal Exposure: Only aggregated or abstracted scores flow upward.
  • HIPAA/GDPR/Zero-Trust: Built‐in compliance ready for healthcare, finance, and any sensitive domain.

• 🌐 Universal Applicability

  • Beyond Elder Care: Education (tutor & curriculum agents), Retail (customer & supply‐chain agents), Government (citizen & policy agents), and more!
  • Plug-and-Play: Drop in new specialized agents (Patent-Pending DRAGON algorithms for TDOA, specialized ML classifiers, quantum‐inspired similarity metrics).

• ⚙️ Open-Source Core + Marketplace Vision

  • Apache 2.0 Licensed: Core SAGE engine is fully open‐source and permissively licensed.
  • Future “Open API Market” Modules: Monetize derivative capabilities, AI-mediated revenue sharing, and premium hosted services.
  • Patent-Friendly Foundation: Explicit patent grants for contributors (via Apache 2.0), ensuring community trust and legal clarity.

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🏁 Getting Started

1. Clone this Repository

   git clone https://github.com/<your-username>/SAGE-Website.git
   cd SAGE-Website

SAGE-Website

This repository contains the structure for the SAGE GitHub Pages site. Replace placeholder files as needed.