MIA, a next-generation memory agent framework, aims to end agents' "amnesiac" workflows

新一代记忆智能体框架MIA：让智能体告别「失忆式工作」，在持续进化中变强

A Shanghai Institute for Advanced Learning and ECNU team released MIA, a memory agent framework, and said it achieved the best results on 7 datasets. MIA uses a Manager-Planner-Executor design, dual parametric and non-parametric memory, alternating RL, and test-time continual learning; the post does not disclose exact benchmark scores. The key point is memory as capability internalization, not just retrieval, for open-world agents.

Why it matters: HKR-H/K/R all pass: the story targets agent memory, a real deployment pain point, and includes specific mechanisms. It stays below p1 because the article does not disclose per-dataset scores, baseline gaps, or enough reproduction detail.