jbjbjb

Sumn like

@Alfa_Farmer @0lunch @ThinkingUSD @bag3Lb0y

LMTG

this move spoke to me

Just a plumber in a driller world

I’m aligned bro

No second best btw

Circle after helping North Korea steal billions of dollars and then posting a proposal to liquidate everyone on AAVE

Matter fact you can’t even buy them at all soon enough

“Adapt or die”

Most memory tools just do vector search. SME uses 6 scoring signals on every query: 1. FTS5 keyword matching (instant, no embeddings needed) 2. Temporal awareness ("what did I decide last week?" just works) 3. Confidence decay (old irrelevant memories fade automatically) 4. Entity graph overlap (ask about "Sarah" → also get her project context) 5. Type-aware scoring (decisions > random notes) 6. File weight (your important files rank higher) The result: the right memory surfaces first. Every time