---
id: 20260423-T0-15
title: "Mango代理通过全局视图优化实现多智能体网络导航"
title_en: "Mango Agent Optimizes Multi-Agent Web Navigation"
url: https://ai.daily.yangsir.net/daily/20260423-T0-15
issue_date: 2026-04-23
publish_date: 2026-04-22T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2604.18779
---

# Mango代理通过全局视图优化实现多智能体网络导航

研究提出Mango多智能体网络导航框架，通过全局视图优化解决了传统代理在复杂网站中的导航陷阱问题。该方法能够智能分析网站结构，减少50%的无效探索路径，在电商和文档网站测试中表现优异。论文还开源了基准测试数据集，为未来网络代理研究提供了评估标准。

## English Version

**Mango Agent Optimizes Multi-Agent Web Navigation**

Researchers have developed Mango, a multi-agent web navigation framework that solves traditional navigation traps through global-view optimization. The method intelligently analyzes website structures, reducing ineffective exploration paths by 50%. It performs exceptionally well on e-commerce and documentation sites. The paper also opens a benchmark dataset, establishing standards for future web agent research.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2604.18779)

**详情页**：https://ai.daily.yangsir.net/daily/20260423-T0-15

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