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MedgeClaw

AI#Bioinformatics#Claude Code #Docker#Data Science#Automation

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// summary

MedgeClaw is an open-source biomedical research assistant that integrates OpenClaw and Claude Code to automate complex scientific workflows. Users can interact with the system via messaging platforms like WhatsApp, Slack, or Discord to trigger analyses in R and Python environments. The platform provides a real-time research dashboard for monitoring progress, viewing code, and accessing interactive outputs.

// technical analysis

MedgeClaw is an AI-powered biomedical research assistant that integrates OpenClaw and Claude Code to automate complex data analysis workflows. By leveraging a library of 140 K-Dense scientific skills, it enables users to perform bioinformatics, drug discovery, and clinical research tasks via natural language commands in messaging apps like WhatsApp or Slack. The architecture utilizes a Dockerized environment containing R and Python, providing a robust, reproducible backend that surfaces results through an interactive real-time web dashboard and standard IDEs like RStudio and JupyterLab.

// key highlights

Integrates 140 K-Dense scientific skills for specialized tasks in genomics, drug discovery, and clinical research.

Provides a real-time research dashboard that visualizes analysis progress, code execution, and output previews without requiring manual log checks.

Supports multi-platform conversational access, allowing researchers to trigger complex analyses via WhatsApp, Slack, or Discord.

Features a dedicated CJK visualization skill that automatically detects and configures fonts to prevent rendering issues in plots.

Includes professional SVG UI templates and Feishu Rich Card integration for generating interactive, image-rich reports.

Offers a flexible, provider-agnostic API configuration that supports Anthropic, DeepSeek, MiniMax, and local Ollama models.

// use cases

Automated bioinformatics analysis including RNA-seq and single-cell RNA-seq processing.

Drug discovery tasks such as virtual screening of inhibitors and SAR report generation.

Clinical research workflows including survival analysis and literature searching.

// getting started

To begin, clone the repository with submodules, configure your API credentials in the .env file, and execute the setup script. Once the environment is initialized, start the Docker containers and the OpenClaw gateway to begin interacting with your research assistant through your preferred messaging platform.