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 joewinke · MCP Server · ★ 251
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is jat safe to install? View the security audit →
JAT — Autonomous Agents, Supervised or Not Agents ship, suggest, repeat. You supervise — or they run on their own. JAT is the complete, self-contained environment for agentic development. Task management, agent orchestration, code editor, git integration, terminal access—all unified in a single IDE. Connect RSS, Slack, Telegram, Gmail — events create tasks and spawn agents automatically. No plugins to install, no services to configure, no pieces to assemble. Supervise the swarm hands-on, or let it run autonomously while you sleep. <!-- Docs | [
| Stars | 251 |
| Forks | 27 |
| Language | Svelte |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.2711327672623/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-25 |
| Created | 2025-11-18 |
| Platforms | claude-code, codex, mcp |
| Est. Tokens | ~21k |
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jat is The World's First Agentic IDE. Visual dashboard: live sessions, task management, code editor, terminal. Epic Swarm parallel workflows. Auto-proceed rules. Automation patterns. Beads + Agent Mail + 50 . It is categorized as a MCP Server with 251 GitHub stars.
jat is primarily written in Svelte. It covers topics such as agent-coordination, agent-mail, agent-orchestration.
You can find installation instructions and usage details in the jat GitHub repository at github.com/joewinke/jat. The project has 251 stars and 27 forks, indicating an active community.
jat is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to jat on Agent Skills Hub include OpenContext, code-on-incus, orchestkit. 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: