Alibaba-NLP/DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Implements a 30.5B parameter sparse-activation model (3.3B per token) trained on synthetic agentic data through continual pre-training, supervised fine-tuning, and on-policy reinforcement learning with Group Relative Policy Optimization. Supports dual inference paradigms—ReAct for core capability evaluation and IterResearch-based "Heavy" mode for test-time scaling—with tool integrations for web search (Serper), page reading (Jina), code execution (SandboxFusion), and multi-modal document parsing.
18,422 stars.
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18,422
Forks
1,419
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 27, 2026
Commits (30d)
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