Show HN: Open Coscientist – modular implementation of DeepMind's AI Co-scientist (github.com)

Open Coscientist, an open-source project inspired by Google Research's AI Co-Scientist, has been launched to generate and refine scientific research hypotheses using a modular, multi-agent architecture. This implementation utilizes LangGraph to manage up to ten specialized AI agents, facilitating the creation, evaluation, and ranking of hypotheses. The tool has been specifically demonstrated for generating hypotheses related to early detection of Alzheimer’s disease, showcasing its capability to deliver novel insights grounded in existing scientific literature. This project holds significance for the AI/ML community as it democratizes access to advanced hypothesis generation tools that were previously limited to proprietary research. The system's versatility is evident as it works independently of external data sources and supports over 100 large language models (LLMs) through integration with an MCP server for literature-aware reasoning. Its capabilities include real-time streaming of results, intelligent caching for rapid development iterations, and an Elo-based tournament system for hypothesis comparison, promoting diversity in research outputs. By making advanced AI tools accessible, Open Coscientist paves the way for accelerated scientific discovery and collaborative innovation in research fields.