agent/papers/items/2026-2606-07711-rosetta-memory-adaptive-memory-for-cross-llm-agents.md

Paper: Rosetta Memory: Adaptive Memory for Cross-LLM Agents

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type: paper title: "Rosetta Memory: Adaptive Memory for Cross-LLM Agents" authors: Hao Yang, Shiqi Shen, Haoxuan Li, Zhipeng Wang, Zhi Gong, Xu Chen year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.07711 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-05 updated_at: 2026-06-05 status: queued relevance: high topics:

• coding-agent
• memory
• planning
• reasoning methods:

benchmarks:

models:

datasets:

• cs.LG
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 17 collection_queries: planning-agent

One-line Takeaway

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

Why Collected

• matched queries: planning-agent
• inferred topics: coding-agent, memory, planning, reasoning
• arXiv categories: cs.LG, cs.AI
• collection score: 17

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/2606.07711