---
id: 20260913-T0-06
title: "企业Agent记忆污染有解了：环境探测式筛选法"
title_en: "Environment-Probing Curation Fixes Memory Pollution in Enterprise Agents"
url: https://ai.daily.yangsir.net/daily/20260913-T0-06
issue_date: 2026-09-13
publish_date: 2026-09-12T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2609.11060
---

# 企业Agent记忆污染有解了：环境探测式筛选法

针对企业级Agent持久记忆容易保留错误、过度泛化的问题，研究者提出环境探测式筛选方法。现有方案通常让curator agent仅基于已完成轨迹进行记忆整理，导致错误被固化。新方法让Agent主动探测环境，验证记忆的可靠性后再决定保留或丢弃。这能帮助长周期Agent在跨会话积累经验时减少偏差，提升企业场景下的任务执行稳定性。

## English Version

**Environment-Probing Curation Fixes Memory Pollution in Enterprise Agents**

Researchers propose environment-probing curation to address persistent memory issues in enterprise agents. Existing approaches let a curator agent organize memory based only on completed trajectories, which can preserve errors and overgeneralize partial evidence. The new method has agents actively probe the environment to verify memory reliability before deciding what to keep or discard. This helps long-horizon agents reduce bias when accumulating experience across sessions and improves task execution stability in enterprise settings.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2609.11060)

**详情页**：https://ai.daily.yangsir.net/daily/20260913-T0-06

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