No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by coollabsio · Agent Tool · ★ 1.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is jean safe to install? View the security audit →
Jean A desktop AI assistant for managing multiple projects, worktrees, and chat sessions with Claude CLI, Codex CLI, Cursor CLI, and OpenCode. Tauri v2 · React 19 · Rust · TypeScript · Tailwind CSS v4 · shadcn/ui v4 · Zustand v5 · TanStack Query · CodeMirror 6 · xterm.js About the Project Jean is an opinionated native desktop app built with Tauri that gives you a powerful interface for working with Claude CLI, Codex CLI, Cursor CLI, and OpenCode across multiple projects. It has strong opinions about how AI-assisted development should work — managing git worktrees, chat sessions, terminals, GitHub and Linear integrations in one cohesive workflow. No vendor lock-in. Everything runs locally on your machine with your own Claude CLI, Codex CLI, Cursor CLI, or OpenCode installation. For more information, take a look at jean.build. Screenshots <img
| Stars | 1,291 |
| Forks | 161 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 65.8970613029972/100 |
| Open Issues | 127 |
| Last Updated | 2026-09-22 |
| Created | 2026-01-23 |
| Platforms | claude-code, node |
| Est. Tokens | ~15k |
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jean is A dev environment for AI agents.. It is categorized as a Agent Tool with 1.3k GitHub stars.
jean is primarily written in TypeScript. It covers topics such as agent, ai, claude-code.
You can find installation instructions and usage details in the jean GitHub repository at github.com/coollabsio/jean. The project has 1.3k stars and 161 forks, indicating an active community.
jean is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to jean on Agent Skills Hub include aizen, agent-worktree, agentrove. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: