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papers/items/2026-wang-evomembench.md

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+# Paper: EvoMemBench
+
+---
+type: paper
+title: "EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective"
+authors: Yuyao Wang, Zhongjian Zhang, Mo Chi, Kaichi Yu, Yuhan Li, Miao Peng, Bing Tong, Chen Zhang, Yan Zhou, Jia Li
+year: 2026
+venue:
+url: https://arxiv.org/html/2605.18421
+code_url:
+source: arxiv
+collected_at: 2026-07-08
+status: skimmed
+relevance: high
+topics:
+  - memory
+  - agent-evaluation
+methods:
+  - memory-benchmark
+  - self-evolving-agent
+benchmarks:
+  - EvoMemBench
+models:
+  -
+datasets:
+  -
+related_concepts:
+  - memory
+  - procedural-memory
+related_jobs:
+  - 2026-07-08-baidu-aidu-agent-algorithm-engineer-beijing
+  - 2026-07-08-bytedance-seed-llm-agent-research-engineer
+related_experiments:
+  -
+related_projects:
+  -
+---
+
+## One-line Takeaway
+
+Memory 的价值取决于任务类型和上下文约束；长上下文 baseline 仍然很强，不能假设外部记忆天然更好。
+
+## Problem
+
+现有 Agent benchmark 主要评估 reasoning、planning、execution，对 memory 的更新、修正和复用能力覆盖不足。
+
+## Core Idea
+
+EvoMemBench 按 memory scope 和 memory content 两条轴设计 benchmark，比较 15 种 memory 方法和长上下文 baseline。
+
+## Evidence
+
+结果显示 memory 在当前上下文不足或任务较难时更有价值；知识密集任务更适合 retrieval memory，执行导向任务更依赖 procedural/long-term memory。
+
+## Useful For Us
+
+- 设计 memory 实验时要加入长上下文 baseline。
+- 不同岗位里提到 memory 时，要进一步区分事实记忆、过程记忆和跨任务经验。
+
+## Follow-up Experiments
+
+- 用 Agent 项目任务集做 memory-vs-long-context 对照实验。