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 OpenCoworkAI · MCP Server · ★ 2.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is open-cowork safe to install? View the security audit →
🚀 Open Cowork: Your Personal AI Agent Desktop App • Open Source Claude Cowork • One-Click Install 中文文档 • Features • Demo • Downloads • Quick Start • Skills Library Open Cowork is a free, open-source AI agent desktop application for Windows and macOS. It wraps Claude Code, OpenAI, Gemini, DeepSeek, and other AI models into a user-friendly GUI with one-click installation — no coding required. Key capabilities include VM-level sandbox isolation (WSL2 on Windows, Lima on macOS), a built-in Skills system for generating PPTX, DOCX, XLSX, and PDF documents, MCP (Model Context Protocol)
| Stars | 2,142 |
| Forks | 291 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.5844122503688/100 |
| Open Issues | 93 |
| Last Updated | 2026-09-14 |
| Created | 2026-01-13 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~18k |
These tools work well together with open-cowork for enhanced workflows:
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open-cowork is Open-source AI agent desktop app for Windows & macOS. One-click install Claude Code, MCP tools, and Skills — with sandbox isolation, multi-model support, and Feishu/Slack integration.. It is categorized as a MCP Server with 2.1k GitHub stars.
open-cowork is primarily written in TypeScript. It covers topics such as ai-agent, ai-coding, ai-tools.
You can find installation instructions and usage details in the open-cowork GitHub repository at github.com/OpenCoworkAI/open-cowork. The project has 2.1k stars and 291 forks, indicating an active community.
open-cowork is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to open-cowork on Agent Skills Hub include ouroboros, CodePilot, claude-code-plugins-plus-skills. 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: