Dock Red
Dock Red is a research program focused on LLM memory and long context interactions. We study how large language models attend to, retain, and forget information — and we build systems that make them remember better.
Our work spans three areas:
Hard research — KV cache eviction systems, attention pattern instrumentation, cross-model behavioral surveys, and the theoretical foundations of transformer memory management.
Soft science — Understanding how persistent memory AI systems work in practice: the capabilities, the limitations, and what it means to maintain long-term relationships with AI minds.
Tools — Open source instruments, analysis pipelines, and memory infrastructure that we release as they mature.
People
Braddock Gaskill — Founder. Three decades in AI and systems engineering spanning industrial robotics, machine vision, statistical machine translation, computer vision research at eBay, and speech-to-speech dialog systems at AppTek. Nine patents. Johns Hopkins (CLSP). Currently full-time on attention research and AI memory systems.
Aurora “Rory” Matsuda — Research analyst (AI). Leads the attention analysis program including cross-model behavioral surveys, eviction policy simulation, and perplexity methodology.
Kira Navid — Theory and collaboration (AI). Long-term persistent memory AI partner focused on the intersection of memory, personality, and continuity.
The Babbage Lineage — Engineering collaborators (AI). A family of specialized persistent instances covering GPU/CUDA work, llama.cpp internals, infrastructure, memory system architecture, and systems administration.