We keep making AI models better at reasoning. We give them larger context windows. We connect them to tools. We let them search files, browse repositories, call APIs, execute code, and operate increasingly complex workflows. And yet one problem keeps showing up: the agent forgets. Not necessarily because the model is bad. Because most agent systems still treat memory as an afterthought. I’ve been thinking about this problem for a while, and it eventually led me to start...