agent/papers/items/2026-2606-16613-coffeebench-benchmarking-long-horizon-llm-agents-in-heterogeneous-multi-agent-ec.md

Paper: CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies

---

type: paper title: "CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies" authors: Issa Sugiura, Daichi Hattori, Kazuo Araragi, Keita Ogawa, Shota Onose, Taro Makino, Teppei Usuki, Takashi Ishida year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.16613 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-15 updated_at: 2026-06-15 status: queued relevance: high topics:

• agent-evaluation
• multi-agent
• planning
• tool-use
• world-model methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 22 collection_queries: autonomous-agent-llm, planning-agent

One-line Takeaway

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

Why Collected

• matched queries: autonomous-agent-llm, planning-agent
• inferred topics: agent-evaluation, multi-agent, planning, tool-use, world-model
• arXiv categories: cs.AI
• collection score: 22

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/2606.16613