Jev-Mem Speeds Up Agent Memory Construction 6.6x

UT Dallas researchers introduced Jev-Mem, which uses a System-One/System-Two split to delegate small memory decisions to lightweight models, speeding up long-conversation agent memory construction by 6.6x.

2026-10-25 ~ 2026-10-25 · 2 related posts

• Jev-Mem paper: a fast scorer makes agent memory building 6.6x faster on LoCoMo — rohanpaul_ai · 2026-10-25
• UT Austin paper: Jev-Mem makes AI agent memory building 6.6x faster — rohanpaul_ai · 2026-10-25