agent/papers/items/2026-2605-15128-memeye-a-visual-centric-evaluation-framework-for-multimodal-agent-memory.md

Paper: MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory

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type: paper title: "MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory" authors: Minghao Guo, Qingyue Jiao, Zeru Shi, Yihao Quan, Boxuan Zhang, Danrui Li, Liwei Che, Wujiang Xu, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.15128 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-14 updated_at: 2026-05-14 status: queued relevance: high topics:

• agent-evaluation
• memory
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.CV
• cs.CL
• cs.IR related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: agent-memory

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: agent-memory
• inferred topics: agent-evaluation, memory, reasoning, tool-use
• arXiv categories: cs.CV, cs.CL, cs.IR
• collection score: 16

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2605.15128