脑科学研究有多繁琐你懂的，BrainPilot开源出来帮你自动查文献、做分析、防编造，性能不输顶级框架还省钱。
BrainPilot 是一个完全开源的多智能体系统，旨在自动化脑科学发现过程。该系统包含一个统一脑科学知识库（7233个索引条目）和技能库（72个可复用方法单元），覆盖七个研究领域。每个步骤记录在Graph of Trace中，提供可审计的日志，同时Auditor agent负责检查编造内容。在Agents' Last Exam的三个脑科学任务及自建基准BrainPilotBench-v0上，BrainPilot使用开源骨干模型达到与SOTA框架相当的性能，且成本更低。
BrainPilot: Automating Brain Discovery with Agentic Research
Understanding the brain increasingly depends on integrating evidence across scales, modalities, and disciplines. Addressing a single research question therefore requires a coordinated sequence of operations, from surveying prior work to executing analyses and interpreting results in light of domain knowledge. AI agents promise to accelerate this process, but current agents lack domain expertise in brain science, may fabricate claims, drift during multi-step reasoning, and offer few defined points for expert intervention. These failures are especially costly in brain science, where conclusions feed into downstream scientific claims and depend on laboratory-specific expertise and careful human judgment. We present \textbf{BrainPilot} a \textbf{fully open-source} multi-agent system that accelerates brain science research with traceable logs and agent-verified results. A principal investigator (PI) agent coordinates specialist agents grounded in curated domain knowledge: a unified brain science knowledge base containing 7{,}233 indexed items and a skill library of 72 reusable methodology units across seven research domains. Every major step is recorded in the Graph of Trace, an auditable record that links subgoals, tool use, evidence, and claims and allows researchers to follow and inspect the workflow. An Auditor agent further integrates fabrication checking into the workflow. For evaluation, we run three brain science tasks from Agents' Last Exam, introduce our own benchmark, \textbf{BrainPilotBench-v0}, and present additional end-to-end case studies. Across these evaluations, BrainPilot with an open-source backbone model attains performance comparable to state-of-the-art agent framework with less costs.