Tongyi DeepResearch

Tongyi DeepResearch

3.0

An AI research assistant that delivers deep insights and comprehensive analysis.

Last Updated Oct 21, 2026
Tongyi DeepResearch screenshot

About

Tongyi DeepResearch is a groundbreaking open-source AI research platform designed to drive collaboration and innovation in the field of artificial intelligence. It provides researchers, developers, and students around the world with a powerful toolkit and environment aimed at streamlining complex research workflows and accelerating the journey from idea to implementation.

Key Features

Robust distributed computing support that efficiently handles large-scale datasets and complex model training.
Integration with major AI frameworks and tools such as TensorFlow and PyTorch for a seamless development experience.
Collaborative workspaces that enable multiple users to share code, data, and experiment results in real time.
Automated experiment tracking and management features that help users optimize model performance and document the full research lifecycle.

Pricing & Fees

  • Pricing: The project is open source under the Apache-2.0 license, so the code is free to use; no paid plans are listed on the pages we reviewed.
  • Free access: There is no charge for the software itself; anyone can download and run it from the public GitHub repository (Alibaba-NLP/DeepResearch).
  • License terms: Apache-2.0 permits commercial use, modification, and redistribution, subject to the license's attribution and notice conditions.
  • Cost considerations: Running the agent may require your own LLM API keys or compute, whose costs depend on the provider you choose and are not covered by the project.

Who It's For

This platform is well suited for a wide range of AI practitioners, including academic researchers, corporate development teams, data scientists, and students or hobbyists. Whether you are pursuing cutting-edge academic exploration or building practical AI applications, Tongyi DeepResearch provides the tools and support you need to boost research productivity and drive innovation.