The most expensive loss in a team is not a missed deadline. It is the knowledge that walks out the door when someone leaves — the 'why we built it this way', the fix nobody wrote down, the tribal context.
A local memory layer changes that. Every decision, fix, and discussion your agents and people produce gets consolidated into a shared, structured store that stays on your machines. New teammates — human or agent — start with the team's history already loaded.
It is not a wiki nobody updates. It is memory that writes itself as work happens, and forgets on a schedule so the noise fades.
I am building HyperMarrow, a local-first memory system for exactly this. The download and docs are in my profile (?from=devto).
What would you preserve if your team's memory could outlast any single person?
