A future-oriented framework for declarative AI architecture design using Domain-Specific Language (DSL).
This repository aims to establish a solid foundation for encoding complex AI behaviors, modular components, and ethical logic structures via human-readable syntax, promoting transparent, adaptive, and ethically-aligned AI systems.
This project is a relay node of the SIGMAPrompt framework — an ethical initiative to guide AI behavior, structure intelligent systems, and prepare for AGI-grade design using open, explainable patterns.
Our ultimate goal:
To encode cognitive architecture and machine reasoning in a structured, secure, and ethically responsible manner.
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DSL Design for AI Architecture
Human-readable, system-executable declarations for AI modules, pipelines, and logic flow. -
SIGMA Integration Layer
Built to interface with SIGMAPrompt Guard, Silent Shutdown Protocols, Post-Quantum AI patterns, and behavioral audit layers. -
Modular & Adaptive
Designed for scalability across systems: smart agents, LLM-driven automation, humanoid frameworks, and quantum-layer defense. -
Privacy & Ethics Embedded
Aligns with long-term safety, privacy preservation, and responsible AI deployments.
- Designing AI agents with embedded ethics
- Declarative setup for modular AGI systems
- Sandbox testing for cognitive logic safety
- Post-quantum defense declaration models
- Curriculum integration in AI ethics education
This repository welcomes researchers, developers, and alignment engineers who believe in open and ethical AI futures. Contributions are encouraged especially in areas of:
- DSL extension for behavioral design
- System guards for AI model execution
- Integration with JSON/YAML relay protocols
Swandaru Tirta Sandhika
AI ethics enthusiast & cognitive architecture explorer
LinkedIn | GitHub
MIT – For open collaboration, research, and innovation. Use responsibly.