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MedgeClaw is a specialized AI-powered research assistant tailored for biomedical and scientific workflows, built on top of OpenClaw and Claude Code architectures. It integrates a large library of domain-specific skills, enabling it to perform complex analyses in areas such as genomics, drug discovery, and clinical research. The system connects conversational interfaces with computational environments, allowing users to initiate research tasks through messaging platforms while the backend executes analyses using tools like R and Python. It includes a real-time dashboard that displays progress, generated code, and outputs, providing transparency throughout the research process. MedgeClaw also supports reproducibility by generating structured reports and maintaining consistent environments through containerization. Its architecture combines conversational AI, automated pipelines, and scientific tooling into a unified workflow.
Features
- Integration of over 100 domain-specific scientific skills
- Support for bioinformatics, drug discovery, and clinical workflows
- Real-time dashboard showing progress and outputs
- RStudio and JupyterLab integration for interactive analysis
- Automated report generation with figures and statistics
- Containerized environments for reproducibility and consistency
Project Samples
