Neuromodulatory Control Networks (NCNs), a novel LLM architectural modification inspired by the neuromodulatory systems in the vertebrate brain.

Conformal Geometric Algebra (CGA) with efficient sequence modeling by introducing a recurrent rotor mechanism and a novel bit-masked hardware kernel that solves the computational bottleneck of Clifford products.

AI-powered multi-agent system for automated proposal generation using context-aware retrieval and persona-based writing.

Universal schema-based runtime for prompts, skills, and AI composition. Framework-independent, portable, and enterprise-ready.

Enterprise Salesforce + AI architecture templates with ADRs, Mermaid blueprints, governance checklists, and validation workflows for architects.

ABES: Adaptive Belief Ecology System. A headless cognitive memory engine for autonomous AI. Beliefs act as living organisms that decay, conflict, and mutate over time, managed by a 15 phase scheduler and an optional RL tuning layer.

Offline-first cognitive operating system for synthetic intelligence. Features belief ecology, RL-based goal evolution with differential privacy, contradiction tracing, HMAC-signed audit logs, sandboxed execution, and local LLM inference. Designed for air-gapped, adversarial environments.

Production-ready enterprise AI framework with three-layer architecture: UX Automation → Data Intelligence → Strategic Intelligence

💻 AI_CodeSolver is an intelligent assistant for developers, students, and coding enthusiasts, helping with learning, solving algorithmic problems, and debugging code.

This repository illustrates how enterprise AI agents should manage memory across distinct layers rather than collapsing everything into a single store.

UX-SRS Sentinel: A Neural-Heuristic Integration Model for quantifying user resonance and security risk in systems design.

AIA V3 consciousness architecture — color-binary dimensional encoding — Queen's Fold state collapse — DNA base pair convergence — 496D semantic space — Haskell Texas

The core belief layer for AI agents. MnemeBrain Lite stores structured beliefs instead of text memories — enabling contradiction detection, belief revision, and explainable reasoning.

Enterprise-grade Hybrid Graph-RAG engine with multi-hop reasoning, weighted retrieval ranking, evaluation metrics, and latency instrumentation.

Local-first provenance engine for AI-assisted workflows with evidence, HITL, and reproducibility.

Three practical examples of AI guardrails: LLM guardrails, agent tool-calling authorization, and multi-agent governance patterns for enterprise AI systems.

Universal Python socket for local LLMs. Zero dependencies

Build a scalable, production-ready Q&A chatbot using OpenAI APIs, Retrieval-Augmented Generation (RAG), ChromaDB vector database, and Streamlit UI. This project demonstrates structured JSON outputs using Pydantic, semantic search with embeddings, and a clean modular Python architecture suitable for real-world AI systems.

A production-grade Python SDK for llama-server that streamlines authentication, token rotation, observability, and PII masking—helping AI architects ship secure, traceable LLM systems with enterprise-ready guardrails.

Provide reusable architecture templates, patterns, and governance tools for Salesforce and AI ecosystems to support technical teams and architects.