Agent memory system runs up to four self-reflection rounds at inference
maier_ak · x · 2026-09-24
Thread detail: the agent memory system loops through up to four "self-reflection" rounds during inference to improve retrieval and answer quality.
Related event: WFM Paper Proposes Dense LLM-Wiki for Agent Memory(5 posts)→
More from Research
- Salesforce's JitMem curates agent memory at read time, gains up to 16.3 points on benchmarks — Salesforce · 2026-09-24
- AI tutoring matches human GRE learning gains at 918x lower cost, 2,383-person study finds — handshake-ai-research · 2026-09-24
- Alibaba's HappyWorld-Bench: 1,138 video cases test world model reliability — alibabagroup · 2026-09-24
- CUHK's PackLab: an MLLM framework for closed-loop robotic bin packing beats RL — CUHK-CSE · 2026-09-24
- ZJU's Spatial-Interactor teaches VLMs spatial reasoning via physical interaction — OmniAI-ZJU · 2026-09-24
- Terminal-Bench meetup draws ~150 after team once doubted finding 10 people — simonguozirui · 2026-09-24