Flagged: installs a cron job. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by JudyaiLab · Agent Tool · ★ 224
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-night-shift safe to install? View the security audit →
🌙 AI Night Shift A multi-agent autonomous framework that lets your AI assistants work while you sleep. AI Night Shift is an open-source framework for running multiple AI agents (Claude Code, Gemini, and more) in coordinated autonomous sessions during off-hours. Born from 30+ real production night shifts, this isn't theoretical — it's battle-tested. What Makes This Different Most "autonomous agent" tools run a single agent in isolation. AI Night Shift orchestrates multiple heterogeneous AI agents working together: They communicate through shared protocols — a file-based message queue, shared chat log, and task board integration. Architecture ┌─────────────────────────────────────────────┐ │ AI Night Shift │ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Claude │ │ Gemini │
| Stars | 224 |
| Forks | 24 |
| Language | Shell |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71.6807973927084/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-13 |
| Created | 2026-03-12 |
| Platforms | claude-code, cli, gemini |
| Est. Tokens | ~7k |
These tools work well together with ai-night-shift for enhanced workflows:
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ai-night-shift is Multi-agent autonomous framework — let your AI work while you sleep 🌙. It is categorized as a Agent Tool with 224 GitHub stars.
ai-night-shift is primarily written in Shell. It covers topics such as ai-agents, automation, autonomous.
You can find installation instructions and usage details in the ai-night-shift GitHub repository at github.com/JudyaiLab/ai-night-shift. The project has 224 stars and 24 forks, indicating an active community.
ai-night-shift is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-night-shift on Agent Skills Hub include auto-company, claude-plugins, daymon. 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: