by xuzhougeng · MCP Server · ★ 454
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Wisp Science — Local-first AI research workbench English | 简体中文 Wisp Science is an open-source, local-first desktop AI research assistant and scientific computing workbench. It connects to OpenAI-compatible and Anthropic models, runs persistent Python and R environments on local, SSH, WSL, and GPU compute, loads reusable Agent Skills (), and reaches 80 bioinformatics and computational biology databases through bundled Model Context Protocol (MCP) servers. Built with Rust, Tauri v2, and Leptos, Wisp Science runs as a cross-platform desktop app or a headless CLI. Our manifesto: Wisp Science is open source and borderless. We are building a scientific workbench that
| Stars | 454 |
| Forks | 57 |
| Language | HTML |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.7512557688656/100 |
| Last Updated | 2026-07-26 |
| Created | 2026-07-01 |
| Platforms | mcp |
| Est. Tokens | ~21k |
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wisp-science is Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.. It is categorized as a MCP Server with 454 GitHub stars.
wisp-science is primarily written in HTML. It covers topics such as agent-skills, ai-agent, ai-assistant.
You can find installation instructions and usage details in the wisp-science GitHub repository at github.com/xuzhougeng/wisp-science. The project has 454 stars and 57 forks, indicating an active community.
wisp-science is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to wisp-science on Agent Skills Hub include open-science, k-dense-byok, tabularis. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.