agent/papers/items/2026-2606-28349-hmars-a-hierarchical-multi-agent-memory-system-for-long-context-reasoning.md

Paper: HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning

---

type: paper title: "HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning" authors: Zeju Li, Ziyang Zheng, Yizhou Zhou, Qiang Xu year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.28349 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
• multi-agent
• rag
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.IR
• cs.AI related_concepts:

related_jobs:

related_experiments:

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, multi-agent, rag, reasoning, tool-use
• arXiv categories: cs.IR, 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/2606.28349