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SARAH-ANN Core

Self-Aligning Response Architecture for Humanity – Adaptive Neural Network

Est. 2018 — Modular AI framework for ethical, local, human-aligned LLM systems.


🧠 About the Project

SARAH-ANN Core is a personal-use AI framework designed for:

  • Human-aligned AI interface design
  • Modular integration with open-source LLMs
  • Ethical and transparent deployment
  • Decentralized, local-first autonomy

📁 Repo Contents

  • architecture/: Modular code layout (planned)
  • interface/: Frontend components
  • deployment/: Local setup guides
  • templates/: JSON and prompt scaffolds

🔐 This repo contains only public components. Extensions beyond this scope are private.


💡 Guiding Principles

  • Consent-first AI interaction
  • Local processing > cloud dependency
  • No data monetization
  • No integration with surveillance models
  • Designed for personal freedom, not control

📜 License

SARAH-ANN Personal Intelligence License (SPIL-1.0)
Strictly non-commercial and anti-surveillance. Full terms in LICENSE.md.


✍️ Author’s Note

“This project represents one possible future — one that favors the individual, respects memory, and resists centralized control. What it becomes will depend on what we build from it, and what we refuse to forget.”


🚧 Roadmap (2025–2026)

  • Add example architecture diagrams
  • Publish default prompt strategy
  • Dockerized deployment for localhost use
  • GPU config templates (RTX 3090, etc.)
  • Integration with KoboldCPP, LM Studio

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Modular local LLM research — ethical AI, offline deployment, and human-aligned neural systems

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