README.md

---
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](https://huggingface.co/papers/2604.04503)
- **Repository:** [https://github.com/ECNU-SII/MIA](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

```bibtex
@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}
}
```