---
title: "Strategies to Enhance Local Agent Retrieval Efficiency"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/274478965.md"
description: "Jack Kong, CEO of Nano Labs, posted on X. A new combination strategy is being suggested to improve the efficiency of local agent retrieval. By utilizing a structured task approach with an mq preview tree architecture, and employing qmd for scanning filenames before precise extraction, token consumption can be reduced by over 80% without compromising accuracy. As cloud AI costs continue to rise, optimizing local processes is becoming increasingly important."
datetime: "2026-02-02T07:29:32.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/274478965.md)
  - [en](https://longbridge.com/en/news/274478965.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/274478965.md)
---

> Supported Languages: [简体中文](https://longbridge.com/zh-CN/news/274478965.md) | [繁體中文](https://longbridge.com/zh-HK/news/274478965.md)


# Strategies to Enhance Local Agent Retrieval Efficiency

Jack Kong, CEO of Nano Labs, posted on X. A new combination strategy is being suggested to improve the efficiency of local agent retrieval. By utilizing a structured task approach with an mq preview tree architecture, and employing qmd for scanning filenames before precise extraction, token consumption can be reduced by over 80% without compromising accuracy. As cloud AI costs continue to rise, optimizing local processes is becoming increasingly important.

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