MLE-Agent is an intelligent assistant for AI engineering and research, facilitating seamless integration of arxiv and Paper with Code.
MLE-Agent is a powerful tool designed to provide intelligent assistance to AI engineers and researchers. By seamlessly integrating arXiv and Paper with Code, MLE-Agent helps users more efficiently find relevant research papers and code implementations, supporting multiple AI platforms such as OpenAI, Anthropic, Gemini, and Ollama. Its core features include code RAG (Retrieval-Augmented Generation), which makes the research and development process more efficient and precise.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"datePublished": "2025-12-05T17:13:28.140531+00:00",
"dateModified": "2025-12-19T05:08:03.048761+00:00",
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"text": "强大的文献和代码集成能力, 支持多家主流 AI 平台, 提高研究和开发效率"
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"text": "可能需要较高的技术门槛, 功能复杂度较高"
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