wisp-science

What it does

wisp-science is an open-source, local-first desktop application designed for scientific researchers who need AI-assisted computational workflows. It integrates Model Context Protocol (MCP) bioinformatics tools with Python and R environments, allowing seamless interaction with OpenAI and Anthropic LLM models. The platform enables researchers to build, test, and deploy reproducible scientific workflows directly on their local machines.

How to set up

Clone the repository from GitHub and follow the platform-specific installation instructions. The application supports multiple runtime environments including SSH, Windows Subsystem for Linux (WSL), and GPU acceleration. Configure your preferred LLM provider credentials (OpenAI or Anthropic) and select your computational environment based on your hardware setup.

Key features

• Native support for Python and R scientific computing environments
• MCP bioinformatics tools integration for specialized biological analysis
• Local-first architecture with optional cloud runtime (SSH, WSL, GPU) support
• Built with Rust/Tauri for cross-platform desktop performance
• Reproducible research workflows with version control integration
• Native LLM model support for OpenAI and Anthropic APIs
• Research-focused UI optimized for scientific workflows