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ai-agentsllmresearchopen-sourceautomationpaper-circle

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

Combat research information overload with Paper Circle, an open-source framework leveraging multi-agent LLMs. It helps researchers efficiently discover, evaluate, and synthesize scientific literature, improving knowledge management.

intermediate30 min5 steps
The play
  1. Locate the Paper Circle Repository
    Find the official Paper Circle GitHub repository to access the source code and documentation. (Note: A placeholder URL is used for this example.)
  2. Clone the Project Locally
    Use Git to clone the Paper Circle repository to your local machine, creating a new directory for the project.
  3. Install Dependencies
    Navigate into the cloned project directory and install all required Python packages using pip.
  4. Run a Research Discovery Example
    Execute a provided example script to see the multi-agent LLM framework in action, processing sample scientific literature.
  5. Customize for Your Research
    Review the framework's configuration files and agent definitions to adapt Paper Circle for your specific research questions, datasets, and synthesis goals.
Starter code
git clone https://github.com/paper-circle/paper-circle.git
cd paper-circle
pip install -r requirements.txt
python examples/run_discovery_demo.py
Source
Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework — Action Pack