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A multi-agent protocol pairing a tool-using Scientist with a question-only advisor — no tools, no answers, no directives — improves Kaggle test performance on 4 of 5 MLE-bench tasks
3 starsPython
Multi Agent Protocol for AI Scientist by Hexo Labs
by martianvoid·Jun 25, 2026·2 points·0 comments
AI Analysis
●●●BangerBig BrainZero to One
Question-only advisor constraint unlocks 55.9% better Kaggle scores — genuinely novel agent architecture.
Strengths
- •Advisor can never give answers or directives — only ask questions and approve plans.
- •Measurable 55.9% average improvement across five MLE-bench Kaggle competitions.
- •Stateful advisor paired with stateless scientist creates effective coordination.
Weaknesses
- •Requires both Anthropic and OpenAI API keys for full functionality.
- •GPU needed for deep learning tasks like Statoil and NFL benchmarks.
Category
Target Audience
AI researchers, ML engineers, agent developers
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CrewAI · AutoGen · LangGraph
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