DeerFlow: Open-Source Deep Research Framework
Product Introduction
DeerFlow is a modular deep research framework designed to bridge language models with practical tools like web search, crawlers, and Python execution. Originating from the open-source community, it empowers researchers, developers, and students to streamline complex projects. The platform emphasizes flexibility, offering both Web UI and Console UI for diverse workflows.
Key Features
- Integrates multiple LLM models (open-source & OpenAI API)
- Supports Tavily, DuckDuckGo, and Brave Search for comprehensive data retrieval
- Text-to-speech conversion using high-quality TTS APIs
- Human-AI collaboration for natural language research plan adjustments
- Block-based report editing with AI-assisted refinement
- Automated podcast audio and PowerPoint generation
- Modular multi-agent architecture for optimized code analysis
- Dual interface options (Web UI + Console UI)
Product Data
- Installation: Requires Python environment
- Setup: Configuration via .env file for API keys
- Execution: Runs via
uv run main.pycommand
