Flagged: installs a cron job, installs a background service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Charlie85270 · Agent Tool · ★ 335
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Dorothy safe to install? View the security audit →
Dorothy A beautiful desktop app to orchestrate your Claude Code ,Codex, Gemini and local agents. Deploy, monitor, and debug — all from one delightful interface. Free and open source. Table of Contents Why Dorothy Core Features Automations Kanban Task Management Scheduled Tasks Remote Control Vault SocialData (Twitter/X) Google Workspace MCP Servers & Tools Installation Architecture Project Structure Tech Stack Configuration & Storage Development Contributing License Why Dorothy AI CLI tools are powerful — but it runs one agent at a time, in one terminal. Dorothy removes that limitation: Run 10+ agents simultaneously across different projects and codebases Automate agent workflows — trigger agents on GitHub PRs, issues, and external events Delegate and coordinate — a Super Agent orchestrates other agents via MCP tools Manage tasks visually — Kanban board with automatic agent assignment Schedule recurring
| Stars | 335 |
| Forks | 64 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71.021285859871/100 |
| Open Issues | 11 |
| Last Updated | 2026-07-07 |
| Created | 2026-01-24 |
| Platforms | node |
| Est. Tokens | ~21k |
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Dorothy is Dorothy, the wife your AI agents needs.. It is categorized as a Agent Tool with 335 GitHub stars.
Dorothy is primarily written in TypeScript. It covers topics such as ai, ai-agents, ai-tools.
You can find installation instructions and usage details in the Dorothy GitHub repository at github.com/Charlie85270/Dorothy. The project has 335 stars and 64 forks, indicating an active community.
Dorothy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Dorothy on Agent Skills Hub include hcom, sre, octocode-mcp. 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.
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