When does an agent actually need memory versus a bigger context window?
Stuffing everything into context works until latency and cost get silly, and the model still loses the thread on long runs. Persistent memory earns its place when an agent needs facts across separate sessions, not within a single task. The practical rule emerging from the discussion: keep a short curated memory file for decisions and durable facts, and let context handle the task at hand.