This might be the first open-source memory architecture to cover associative recall. The rest stop at similarity search. (T-Mem, EMNLP 2026)
Most memory systems retrieve by similarity. T-Mem predicts when a memory will matter, before you ask.
→ write: memories ship with a trigger at store time, basically "when will this come up again?"
→ read: at query time, triggers pull in memories by situation, even with zero keyword overlap.
→ architecture layer. plugs into any LLM without fine-tuning or model changes.
On LoCoMo-Plus (strips keyword overlap, tests pure associative recall), mainstream systems drop 28 to 50 points. T-Mem drops 5.45.
paper:
code: (MIT)