Originally published on AI Tech Connect.
The memory problem: why agents forget and hallucinate Picture a support agent that has been helping a customer through a complex insurance claim for forty minutes. Early in the conversation, the customer mentioned a policy number, a claim date, and a preferred callback time. Twenty turns later, the agent confidently asks for the policy number again. The model has not malfunctioned — it simply cannot see that far back. The context window filled with reasoning steps, tool outputs, and clarifying questions, and the original details fell off the edge. This is the central memory problem in production agents, and it has a less obvious sibling: hallucination by confabulation. When an agent loses access to earlier context, it does not fail loudly — it fills the gap with plausible-sounding content…
Top comments (0)