Spira 2.0：跨运行记忆让AI工具从工具变为工人

Most “AI content tools” reset to zero every time you call them.​

That’s the tell: a generation is an event, labor is a continuum.​

The interesting engineering question in Spira 2.0 isn’t just the output — it’s that each agent carries persona + memory + skills across runs, so what it learned yesterday compounds instead of evaporating.​

Memory that survives the run is the genuinely hard part.​

It’s the difference between a tool you operate and a worker that operates.​

The full trend → content → publish → learn loop only becomes meaningful when the state persists.​

Worth a look at economics alone.​

@spira_lab_ai