build-with-ag2

AG2 DeepResearchAgent - Reference Implementation

• Created by willhama
• Last revision: 09/20/2025 by qingyun-wu

DeepResearchAgent is an advanced research tool built on the AG2 framework, inspired by OpenAI’s deep research capabilities.

Overview

This reference implementation demonstrates OpenAI’s deep research agent functionality. It efficiently retrieves relevant data, processes information, and delivers concise conclusions to help analysts and investors make informed decisions.

Learn more: https://openai.com/index/introducing-deep-research/

AG2 Features

• DeepResearchAgent

Tags

deep-research, data-retrieval, automation, research-assistant, streamlit, uvicorn, web-scraping

Installation

DeepResearchAgent requires Python 3.12 or higher.

Using uv (recommended)

1. Install uv if you haven’t already:

   curl -LsSf https://astral.sh/uv/install.sh | sh
   

2. Install the project dependencies:

   uv sync
   

3. Set up environment variables:

   cp .env.example .env
   # Edit .env with your OpenAI API key
   

4. Run the application:

   uv run python main.py
   

Web Interface

You can also run the application with a Streamlit frontend and FastAPI backend:

1. Start the backend:

   uvicorn backend:app --reload
   

2. Start the frontend:

   streamlit run frontend.py
   

3. Open your browser and navigate to http://localhost:8501/

Contact

For more information or any questions, please refer to the documentation or reach out to us!

• View Documentation at: https://docs.ag2.ai/latest/
• Find AG2 on github: https://github.com/ag2ai/ag2
• Join us on Discord: https://discord.gg/pAbnFJrkgZ

License

This project is licensed under the Apache License 2.0. See the LICENSE for details.

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