Building Agent Knowledge Bases That Actually Scale

This is part eight in a series about managing the growing pile of skills, scripts, and context that AI coding agents depend on. Part one introduced progressive disclosure. Part two unified your local assets across platforms. Part three added persistent memory. Previous parts addressed teams, distributed stashes, and community knowledge. This one is about a different problem: knowledge accumulation. You start a new research area — say, LLM inference optimization. You read papers. You take notes.