Does wisp-science auto-invoke its skills?

Not yet. It is indexed on Flowy as a plain plugin. Request auto-invocation on its page and Flowy will route its skills for you as you prompt.

Is wisp-science free?

Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.

Research

Plugin

wisp-science

The open-source, local-first AI research workbench. WISP — Workspace for Intelligent Scientific Practice Search the literature, run Python and R, query ~80 scientific databases, and keep the trail — figures, runs, decisions, and drafts — in one project.

BOOST

xuzhougeng@xuzhougeng

GitHub

Plugin Signal75/100Solid

maintained100

capable69

documented50

adopted64

Install

$ npx -y skills add xuzhougeng/wisp-science --agent claude-code

Stats

Python Node CSS Rust SQLite

+7 tags

Cloudflare Linux Git GitHub Markdown Anthropic MCP

1,042

Stars

106

Forks

Active

Maintenance

Rust

Language

AGPL-3.0

License

1h ago

Last commit

3mo ago

Created

4h ago

Added

Repo: xuzhougeng/wisp-science

What's inside

Skill(27 skills)

/agent-infiniUse the InfiniSynapse CLI (`agent_infini`) for multi-turn AI data-analysis tasks, database/RAG context, and task workspace files. Use when the user mentions InfiniSynapse, agent_infini, database or RAG analysis, or asks to delegate analysis through InfiniSynapse./analysis-workflowOrganize multi-step scientific analyses into reproducible, self-contained modules. Use for workflows such as QC→PCA→DEG→GSEA that produce scripts, inputs, figures, tables, and methods. Creates a stable module layout, records exact inputs/parameters/package and database versions /audit-biomedical-paper-evidence审读用户提供的生命科学或生物医学论文、PDF、摘要、正文、figure、panel、caption 或截图，定位核心科学问题，逐图解释实验设计和证据链，审计机制、因果性、rescue、方法边界、正交验证与局限。材料缺失时请求补充或转介检索；不提供医疗建议、临床决策或可直接执行的湿实验 SOP。

README

ExcerptRead the full README on GitHub

Wisp Science

The open-source, local-first AI research workbench.

WISP — Workspace for Intelligent Scientific Practice

English · 简体中文 · Website · Releases

Search the literature, run Python and R, query ~80 scientific databases, and keep the trail — figures, runs, decisions, and drafts — in one project. Your data, conversations, and credentials stay on your machines.

Bring your own model. Keep your science.

What you can do

An agent that does the work

Bring OpenAI-compatible or Anthropic models, or drive Codex / Claude Code over ACP. The agent reads and writes project files, runs shell, and loads reusable Skills (SKILL.md) without flooding the prompt. Approval gates stay on unless you opt into Full Permission.

Compute from laptop to remote servers

Persistent Python and R kernels keep variables across cells and turns; each conversation gets its own isolated kernel, so parallel sessions never share state. Register local, WSL, and SSH hosts once; probe hardware; submit long Runs with live logs. Keys live in the OS keyring, never in SQLite.

Built for science

PubMed, GEO, and ~80 other databases through bundled MCP servers. Offline previews for notebooks, PDFs, Office files, and images. Isolated explorations to try a direction without touching the mainline. A Publication Workspace that freezes manuscript revisions into verifiable Evidence Capsules.

A workbench that remembers

Restart and the full history is back. Undo a turn's file edits. Attach artifacts, files, and runtimes with @; search saved sessions with #; apply a skill with /. Encrypted manual sync and project transfer — nothing syncs in the background.

Get started

Open the download page, choose your operating system and processor, and download via Cloudflare. GitHub Releases is also available.
Open a bundled demo — no API key needed — to see a full RNA-seq trajectory.
Add a model in Settings → Models and start a project.

Platform	Package
Windows	Signed MSI / NSIS
macOS	Signed, notarized `.dmg` (Apple Silicon + Intel)
Linux	`.deb` / AppImage (x86_64 + aarch64)

Setup walkthrough: Quick Start · basic configuration · model profiles · ACP agents

Build from source, CLI, and architecture: development.

Documentation


Start	Basic setup · Models · ACP agents
Research	Explorations · Evidence capsules · Case studies
Projects	Transfer · Sync · Global library
Compute	Terminals · Remote files · Transfers
Extend	Skills · Plugins · Delegation · Channels · Browser
Develop	Development · Headless eval

Community

Thanks to everyone who filed issues, sent PRs, and used Wisp on real projects. Special thanks to SpicyChicken6 for the molecular wordmark and three-wisp desktop icon designs.

File tree

Showing a partial view of a very large repo.

FAQ

wisp-science is a Claude Code plugin with 27 hand-picked skills for research work, indexed on Flowy. Install it with the command on its page. It includes agent-infini, analysis-workflow, audit-biomedical-paper-evidence. Its skills do not fire on their own yet. Request auto-invocation to have Flowy route them as you prompt. Free and open source.

What is wisp-science?: The open-source, local-first AI research workbench. WISP — Workspace for Intelligent Scientific Practice Search the literature, run Python and R, query ~80 scientific databases, and keep the trail — figures, runs, decisions, and drafts — in one project.
How do I install wisp-science?: Run these in Claude Code: npx -y skills add xuzhougeng/wisp-science --agent claude-code. Then prompt normally.
Does wisp-science auto-invoke its skills?: Not yet. It is indexed on Flowy as a plain plugin. Request auto-invocation on its page and Flowy will route its skills for you as you prompt.
Is wisp-science free?: Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.

Is this plugin yours?

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