Why AI coding tools should share one memory instead of keeping separate copies

AI coding assistants increasingly keep persistent memory of project decisions, fixes and preferences, but each tool typically maintains its own store. Users who switch between tools or machines end up re-explaining the same context and watching their separate memories drift out of sync. The article argues that repeated briefings waste time and that stale or conflicting memories can lead assistants to suggest outdated choices. Manually maintained rules files such as CLAUDE.md or AGENTS.md help but only capture what users remember to write down. The author's proposed remedy is a single, user-controlled memory that is tagged by project, supports cross-project recall, is inspectable and editable, and stays local rather than on a vendor server.