agent/papers/items/2026-2606-25400-brainagent-a-large-language-model-driven-multi-agent-framework-for-autonomous-br.md

Paper: BrainAgent: A Large Language Model-Driven Multi-Agent Framework for Autonomous Brain Signal Understanding

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type: paper title: "BrainAgent: A Large Language Model-Driven Multi-Agent Framework for Autonomous Brain Signal Understanding" authors: Yangxuan Zhou, Sha Zhao, Jiquan Wang, Shijian Li, Gang Pan year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.25400 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-24 updated_at: 2026-06-24 status: queued relevance: high topics:

• agent-evaluation
• multi-agent
• planning
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

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related_projects:

collection_score: 17 collection_queries: multi-agent-llm

One-line Takeaway

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

Why Collected

• matched queries: multi-agent-llm
• inferred topics: agent-evaluation, multi-agent, planning, tool-use, workflow-agent
• arXiv categories: 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/2606.25400