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DeerFlow: Open-Source Deep Research Framework

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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.py command

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