Technological breakthroughs in multi-agent systems
The core innovation of Open Deep Research is its multi-agent AI architecture. The system contains three key agent modules:
- Planning agent: automatic generation of research outlines and problem frames based on language models
- Search Agent: Retrieve and filter high-quality information sources through web APIs
- The Writing Agent: Integrating Information to Generate a Well-Structured Research Paper
These agents work collaboratively through LangGraph technology to mimic the cognitive processes of a human researcher. For example, in the study 'Impact of Climate Change', the system will:
- First generate a research framework for 'environmental/economic/social impacts'
- Multiple rounds of search and reflection on each sub-theme
- The final output is a full report with recommendations for data visualization
This architectural design gives the tool the ability to iteratively deepen the research, and the maximum search depth parameter (-max_search_depth) allows the user to control the level of research detail.
This answer comes from the articleTogether Open Deep Research: Generating Indexed Deep Research ReportsThe
May not be reproduced without permission:AI productivity tools " Multi-agent Workflow Architecture Enables Open Deep Research to Achieve Human-Level Depth of Research
