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 Kangentic · Agent Tool · ★ 117
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is kangentic safe to install? View the security audit →
Kangentic Drag a card. An agent starts. A Kanban board for AI coding agents. Spawn, suspend, and resume sessions across fourteen agent CLIs from one board, with your own backlog. Local, free, open source. One board shows every
| Stars | 117 |
| Forks | 25 |
| Language | TypeScript |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 66.617481224943/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-22 |
| Created | 2026-02-22 |
| Platforms | claude-code, node |
| Est. Tokens | ~16k |
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kangentic is Desktop kanban board for orchestrating agentic workflows. It is categorized as a Agent Tool with 117 GitHub stars.
kangentic is primarily written in TypeScript. It covers topics such as agentic-ai, ai-agents, claude-code.
You can find installation instructions and usage details in the kangentic GitHub repository at github.com/Kangentic/kangentic. The project has 117 stars and 25 forks, indicating an active community.
kangentic is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to kangentic on Agent Skills Hub include palot, mcp-gearbox, Claude-Agent-Team-Manager. 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: