Author

Qingcan Kang

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Preprint Aug 2026

MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents

MindMemOS is presented, a portable and self-evolving memory operating layer that organizes open-world information using a unified entity property timestructure that supports scenario-adaptive memory modeling, higher-order pattern discovery, autonomous memory refinement, and continuous skill evolution.

Kaichao Liang, Yu-Qi Cui, Hao Kong et al. · 0 citations

Jul 2026

Retain or Consolidate? Budget-Dependent Operator Selection for Language Agent Memory

This work decomposes each operator's utility into a coverage effect on evidence omitted by retention and a signed replacement effect on raw evidence that already fits, which explains why the preferred action changes with relative budget pressure.

Qingcan Kang, Mingyang Liu, Shixiong Kai et al. · arXiv.org · 1 citation

Jun 2026

EvoOptiGraph: Weakness-Driven Coevolution via Graph-Based Structural Generation for Optimization Modeling

Automating optimization modeling from natural language with large language models (LLMs) faces two key challenges. First, training corpora lack structural diversity. Second, data generation pipelines remain static and decoupled from model learning. To address these challenges, we propose EvoOptiGraph, a novel framework...

Qingcan Kang, Mingyang Liu, Xiaojin Fu et al. · arXiv.org · 0 citations