Giving Your Agent a Memory — Multi-Turn Conversations with NVIDIA NIM

NVIDIA NIM agents often lack persistent memory, treating every query as a blank slate and failing to resolve references in multi-turn conversations. While vendors promote larger context windows, this represents working memory rather than true long-term memory. Conflating the two leads to agents becoming less effective over time. Real memory must survive beyond the session window, as the context window functions like a desk while true memory acts as a filing cabinet for information.