wisp-science
A local-first AI workspace for research, supporting Python/R, bioinformatics tools, and OpenAI/Anthropic models.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 1.0k
- Views
- 1
- Source
- GitHub
- Added
- 2026-08-09
- Last verified
- 2026-08-09

Overview
Wisp Science is an open-source, local-first AI research assistant and scientific computing workspace. It connects to OpenAI-compatible and Anthropic models, runs persistent Python and R environments, and accesses approximately 80 bioinformatics databases via an integrated MCP server. All data, conversations, and credentials are stored on the user's own machine. Built with Rust, Tauri v2, and Leptos, Wisp Science can run as a cross-platform desktop application or headless CLI. It aims to provide a complete research environment including literature search, analysis, computation, writing, and task management.
Key features
- ▪Supports OpenAI-compatible and Anthropic models
- ▪Persistent Python and R environments
- ▪Access to approximately 80 bioinformatics databases
- ▪Data and conversations stored locally
Use cases
Pros
- +Open source and free
- +Supports multiple execution environments
- +Strong integration of bioinformatics tools
- +Data privacy protection
Limitations / notes
- -Higher learning curve
- -Requires some programming background
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, Wisp Science is open source and free.
Does it support Chinese?
The documentation has a simplified Chinese version, but the interface is primarily in English.
Can it be used commercially?
Yes, Wisp Science uses an open-source license that allows commercial use.
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