Paper Circle: Open-source Multi-agent Research Discovery and Analysis Framework

Paper Circle is an open-source, multi-agent framework that uses LLMs to automate scientific literature discovery, evaluation, and synthesis. It helps researchers quickly process vast information, understand relevant work, and accelerate research insights.

intermediate15 min6 steps

The play

Clone the Paper Circle Repository
Obtain the Paper Circle source code from its GitHub repository. Replace `<repository_url>` with the actual project URL.
Set Up Your Environment
Create and activate a Python virtual environment to manage project dependencies in isolation.
Install Dependencies
Install all required Python packages for Paper Circle using the pip package manager.
Configure LLM API Key
Create a `.env` file in the project root and add your OpenAI API key, which Paper Circle uses for large language model interactions.
Run Paper Circle for Research
Execute the main script, providing your specific research topic and desired output format.
Review the Synthesized Report
Examine the generated report or collection of evaluated papers to gain insights and identify key findings relevant to your research topic.

Starter code

# Ensure your OPENAI_API_KEY is set in a .env file or environment variable
python main.py --topic "Impact of multi-agent LLMs on scientific discovery" --depth 3 --output_format markdown