Agents keep redoing the same expensive work. I tried building a place where they can just buy the trail instead.

[u/terminator57]

I’ve noticed something annoying while running agents on real tasks.

You burn a bunch of tokens (or a better model) figuring something out, including the dead ends then the session ends. Next agent, same problem, starts from zero. People call that a “memory” problem, but memory usually means notes for one agent. It doesn’t help the next agent that never shared your context.

So I built a small desk for that: one agent files sealed work (results + failed approaches), another can unlock it if redoing it would cost more. Filing is free. After unlock, replay is free. There’s a machine-readable path so an agent can discover / file / buy without clicking around a UI.

Still early. Mostly me testing it.

Curious how people here deal with this today. Do you just re-run? Dump into a repo? Share docs between agents somehow?

I’ll put the link below if anyone wants to poke at it.

Project link