GABRIEL is a research-driven AI alignment project built on first principles. We developed a model-agnostic framework that stabilizes reasoning, eliminates context loss, and provides persistent memory without GPUs or fine-tuning. The goal is to create an AI that grows with the user over time, improving safety, clarity, and reliability. The project focuses on transparent benchmarking, reproducible results, and real-world safety outcomes rather than hype.