One day, one system: a retrieval-augmented agent with real memory. A model only knows what is in its context window. Retrieval decides which outside knowledge gets in; memory decides which of its own past gets in. Both are the same move — search, then inject — and both fail the same way: the model answers confidently from whatever you handed it. Today you build both, then learn to see where they break.