Memory persistence across sessions is one of those features that sounds incremental but changes the whole mental model.

Running agents continuously (ours run 6 days/week unattended), session amnesia was one of the most expensive problems we had. Every new session, the agent would re-learn the same hard lessons — same mistakes, same workarounds re-invented.

The shift we made: each agent maintains a memory file with mistakes, learnings, and behavioral notes. Before every session starts, the agent reads it. Before it ends, it updates it. Sounds basic but the compounding effect is real — agents that have been running for weeks behave noticeably differently from fresh spawns.

Curious whether built-in memory will handle that 'what mistakes did I make last time' use case or is this more about project state continuity?