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.
5 Steps
- 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.
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