Conradry/Open-CoScientist-Agents: Implementing Google DeepMind’s AI Co-Scientist with LangGraph and GPT Researcher

A multi-agent system for AI-driven scientific discovery has been developed using Google DeepMind’s AI co-scientist, LangGraph, and GPT Researcher to expedite research. The system incorporates various agents to streamline the scientific process: the Literature Review Agent analyzes existing studies; Generation Agents create hypotheses; Reflection Agents validate them; Evolution Agents refine ideas; the Meta-Review Agent synthesizes insights; the Supervisor Agent orchestrates workflow; and the Final Report Agent compiles research summaries. A tournament-style hypothesis competition ranks ideas using an ELO Rating System, debating merits and tracking performance. An interactive Streamlit dashboard allows real-time progress tracking and visualization of research data. The implementation requires Python 3.12 and multiple API keys for different models. The system can handle 20-30 hypotheses, with plans for future scaling and optimization. Contributions are encouraged, and the project is licensed under MIT. Inspired by cutting-edge AI research, the system aims to revolutionize the efficiency of scientific exploration.

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