Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Stanshy · Agent Tool · ★ 200
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AgentHub safe to install? View the security audit →
AgentHub One Person, One Software Company. Build a virtual development team with Claude Code, and use Harness Engineering to keep AI working with discipline. Website · Claude Code Mastery · Quick Start English | 繁體中文 AgentHub is not another AI chat interface. It is a Harness Engineering system that lets you build a virtual development team with Claude Code — complete with a PM, Tech Lead, frontend developer, backend developer, and designer — and manage them like a real boss. You give the orders. Agents execute. Hooks enforce quality. Skills standardize process. FileWatcher syncs in real time. No prompt prayers. No "hope the AI remembers the rules." Rules live in Hooks. Agents that break them get blocked. It's that simple.
| Stars | 200 |
| Forks | 23 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.1308888481703/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-09 |
| Created | 2026-03-27 |
| Platforms | claude-code, node |
| Est. Tokens | ~226k |
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AgentHub is One person, one software company. Manage 47 AI agents from a single Electron app — with Harness Engineering (Skills + Hooks + FileWatchers) for disciplined, traceable AI workflows.. It is categorized as a Agent Tool with 200 GitHub stars.
AgentHub is primarily written in TypeScript. It covers topics such as ai-agents, ai-workflow, claude-code.
You can find installation instructions and usage details in the AgentHub GitHub repository at github.com/Stanshy/AgentHub. The project has 200 stars and 23 forks, indicating an active community.
AgentHub is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to AgentHub on Agent Skills Hub include claude_agent_teams_ui, mcp-gearbox, Carmack-Council. 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: