---
id: 20260619-T0-10
title: "SEAGym：首个评估Self-Evolving LLM Agent“进化能力”的基准环境"
title_en: "SEAGym: An Evaluation Environment for Self-Evolving LLM Agents"
url: https://ai.daily.yangsir.net/daily/20260619-T0-10
issue_date: 2026-06-19
publish_date: 2026-06-18T04:00:00.000Z
category: tools
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2606.17546
---

# SEAGym：首个评估Self-Evolving LLM Agent“进化能力”的基准环境

为了解决现有评估体系无法检测Agent自我进化能力的问题，研究者发布了SEAGym基准环境。自进化型Agent主要通过优化其执行框架（如Prompt、记忆、工具链）来提升性能，而非仅依赖底层模型更新。SEAGym专注于评估Agent在结构化执行层上的动态调整能力，为衡量Agent的自我迭代水平提供了新的量化标准。

## English Version

**SEAGym: An Evaluation Environment for Self-Evolving LLM Agents**

Researchers released SEAGym, a benchmark environment designed to evaluate self-evolving LLM agents. Unlike standard tests, SEAGym focuses on the agent's ability to improve its 'harness'—prompts, memory, and tools—rather than just the base model. It provides a standardized way to measure an agent's capacity for self-iteration and structural optimization.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2606.17546)

**详情页**：https://ai.daily.yangsir.net/daily/20260619-T0-10

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