Paper·arxiv.org
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
- Locate the Paper Circle RepositoryFind the official Paper Circle GitHub repository to access the source code and documentation. (Note: A placeholder URL is used for this example.)
- Clone the Project LocallyUse Git to clone the Paper Circle repository to your local machine, creating a new directory for the project.
- Install DependenciesNavigate into the cloned project directory and install all required Python packages using pip.
- Run a Research Discovery ExampleExecute a provided example script to see the multi-agent LLM framework in action, processing sample scientific literature.
- Customize for Your ResearchReview 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