Wisp Science is an open-source, local-first desktop and CLI workbench designed for AI-assisted scientific research. It integrates papers, local data, Python/R scripts, research databases, and agent workflows into unified, traceable projects with persistent session history and reproducible outputs. Key capabilities include multiple agent delegation modes (Manual, Assisted, Automatic), built-in research skills, MCP database connectors, and local SQLite-based artifact tracking. It is built for researchers who need reproducible, self-contained scientific computing environments without relying on c
Wisp Science sits in PulseGate's AI & ML category. It focuses on managing scattered research artifacts like papers, local datasets, code, and agent workflows without reproducible, traceable project records. Wisp Science is an open-source project aimed at researchers. The project is open source (Apache-2.0). The product ships for the web, macOS, Windows, Linux, and the command line, and it can be self-hosted.
It is developed by xuzhougeng (China), and the product first shipped in 2026. The project is developed in the open on GitHub with 194 stars and 718 commits in the last 90 days. Among its 6 catalogued features are Reproducible Workflows, Agent Delegation Modes, and Persistent Python/R Environment. The interface is available in English and Chinese. It exposes integrations via an MCP server. Wisp Science is currently in beta.
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