---
id: 20260710-T0-11
title: "LLM智能体如何自我进化？从原子操作到标准操作流程的迭代工具优化"
title_en: "LLM Agents Evolve: From Atomic Actions to Standard Operating Procedures"
url: https://ai.daily.yangsir.net/daily/20260710-T0-11
issue_date: 2026-07-10
publish_date: 2026-07-09T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2607.07321
---

# LLM智能体如何自我进化？从原子操作到标准操作流程的迭代工具优化

arXiv 上发布了一项新研究，提出了一种让 LLM 智能体通过迭代工具优化来自我进化的方法。该框架允许智能体从执行单个原子操作（如文件读写）逐步升级为执行标准操作流程（SOP），从而更高效地完成复杂任务。实验表明，这种自进化机制能显著提升智能体在多种任务上的表现，减少对人类预设流程的依赖。

## English Version

**LLM Agents Evolve: From Atomic Actions to Standard Operating Procedures**

A new arXiv paper proposes a framework for LLM agents to self-evolve by iteratively optimizing their tools. Agents move from executing granular atomic actions to following Standard Operating Procedures (SOPs), improving performance on complex tasks. The approach reduces reliance on human-designed workflows and enables more autonomous problem-solving.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2607.07321)

**详情页**：https://ai.daily.yangsir.net/daily/20260710-T0-11

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