agent/papers/items/2026-2606-04315-exploring-cross-scenario-generality-of-agentic-memory-systems-diagnostics-and-a-.md

Paper: Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline

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type: paper title: "Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline" authors: Zhikai Chen, Jialiang Gu, Junyu Yin, Xianxuan Long, Shenglai Zeng, Xiaoze Liu, Kai Guo, Keren Zhou, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.04315 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-03 updated_at: 2026-06-03 status: queued relevance: high topics:

• agent-evaluation
• memory
• planning
• rag
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

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related_projects:

collection_score: 19 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, planning, rag, tool-use
• arXiv categories: cs.AI
• collection score: 19

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/2606.04315