LongCat-DeepResearch Redefined Artificial Intelligence Research System
A new milestone in scientific research and data analysis. The system called LongCat-DeepResearch can create comprehensive, evidence-based reports with coordinated work of artificial intelligence agents. This technology represents an important step in the automation of complex researches.
The basic features of the system are:
- Multi-task workflow: Planning and research agents increase productivity by working separately and reduce errors
- ResearchSpec integration: Automatically refine the action plan by discovering external resources -** Section-level revision**: The process of independent control and improvement of report sections
- LongCat model: Basic language model that processes long context window and can conduct in-depth analysis
- The basic output: All findings are based on external resources and ensure reliability
The architecture of the system is based on clear separation of detailed research with global planning. At the first stage planning agents are preparing a concrete research plan by reviewing resources related to the research topic. Then specialized research agents work deeply in this plan.
LongCat-DeepResearch expands the role of artificial intelligence in academic and professional research field. This approach, which combines the power of human analytics with automation, promising information discovery to speed and improve quality control.