WebThinker extends large reasoning models such as DeepSeek-R1 and QwQ with deep research capabilities by orchestrating web search, page retrieval, and information synthesis. It generates Reflect tokens to guide exploration and produces comprehensive research reports from web sources. The project provides fine-tuned model checkpoints (7B to 32B) trained on research trajectories and supports integration with search APIs for real-time information gathering.