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Introducing Tongyi Deep Research

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GitHub AI Agent Python Open Source
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Type: GitHub Repository Original link: https://github.com/Alibaba-NLP/DeepResearch Publication date: 2025-09-22


Summary
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WHAT - Tongyi DeepResearch is an open-source large language model-based research agent developed by Alibaba, with a total of 30.5 billion parameters.

WHY - It is relevant for AI business because it offers advanced data research and synthetic data generation capabilities, enhancing the effectiveness of agent-user interactions and the quality of responses.

WHO - The main players are Alibaba-NLP and the open-source community contributing to the project.

WHERE - It positions itself in the market of AI-based research agents, competing with other open-source and proprietary solutions.

WHEN - It is a relatively new but already established project, with an active user base and a clear development roadmap.

BUSINESS IMPACT:

  • Opportunities: Integration with corporate search systems to improve response quality and interaction efficiency.
  • Risks: Competition with proprietary solutions from major tech companies.
  • Integration: Possible integration with existing stacks via APIs and models available on platforms like HuggingFace and ModelScope.

TECHNICAL SUMMARY:

  • Core technology stack: Python, HuggingFace, ModelScope, custom deep learning frameworks.
  • Scalability: High scalability thanks to an automated synthetic data generation pipeline and continuous pre-training on large volumes of data.
  • Technical differentiators: Use of a custom group relative policy optimization framework for reinforcement learning, compatibility with advanced inference paradigms such as ReAct.

Use Cases
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  • Private AI Stack: Integration into proprietary pipelines
  • Client Solutions: Implementation for client projects
  • Development Acceleration: Reduction of project time-to-market
  • Strategic Intelligence: Input for technological roadmap
  • Competitive Analysis: Monitoring AI ecosystem

Resources
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Original Links #


Article recommended and selected by the Human Technology eXcellence team, processed through artificial intelligence (in this case with LLM HTX-EU-Mistral3.1Small) on 2025-09-22 15:19 Original source: https://github.com/Alibaba-NLP/DeepResearch

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