אותות משתמש נפסקים בגבול האחזור

תקציר מקורי באנגליתUtility is all you need! Closing the Agent Learning Loop with Utility-Ranked Memory Most production agent systems have a fatal flaw: they start every run from a blank slate. You have traces in your observability stack and pass/fail judgments in your eval suite, but the agent that runs tomorrow has no memory of why yesterday's runs succeeded or failed. This talk exposes the gap between observation and action and shows how to close it. We'll examine why current memory approaches stall: conversation buffers that only remember recency, semantic systems that retrieve what sounds similar rather than what helped, and reflection-based methods that capture lessons but don't learn which ones actually work. The core idea: utility-ranked memory. Treat memories like a credit score. When a memory is ret