metadata
license: mit
library_name: transformers
pipeline_tag: text-generation
datasets:
- LightningCreeper/MIA
base_model:
- Qwen/Qwen2.5-VL-7B-Instruct
- Qwen/Qwen3-8B
Memory Intelligence Agent (MIA)
Memory Intelligence Agent (MIA) is a memory framework designed for deep research agents (DRAs). It transforms agents from "passive record-keepers" into "active strategists" using a sophisticated Manager-Planner-Executor architecture.
- Paper: Memory Intelligence Agent
- Repository: https://github.com/ECNU-SII/MIA
Overview
MIA replaces traditional "memory dumps" with a specialized architecture to enable efficient reasoning and autonomous evolution:
- The Manager: A non-parametric memory system that stores and optimizes compressed historical search trajectories to eliminate bloat.
- The Planner: A parametric memory agent that produces search plans and evolves its strategy via Continual Test-Time Learning during inference.
- The Executor: A precision instrument that searches and analyzes information guided by the search plan.
MIA employs an alternating reinforcement learning paradigm to enhance cooperation between components and establishes a bidirectional conversion loop between parametric and non-parametric memories.
Citation
@article{qiao2026mia,
title={Memory Intelligence Agent},
author={Jingyang Qiao and Weicheng Meng and Yu Cheng and Zhihang Lin and Zhizhong Zhang and Xin Tan and Jingyu Gong and Kun Shao and Yuan Xie},
journal={arXiv preprint arXiv:2604.04503},
year={2026}
}