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 jim-schwoebel · Agent Tool · ★ 2.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome_ai_agents safe to install? View the security audit →
🤖 Awesome AI Agents: Tools, Resources, and Projects Welcome to the Ultimate Hub for AI Agents, your one-stop destination for all things related to AI-driven agents. Whether you're a researcher, developer, or enthusiast, this repository brings together the most advanced tools, resources, and inspiring projects in the world of AI agents. This repository is a comprehensive hub for resources related to AI agents, providing a curated collection of tools, frameworks, datasets, and projects. It offers daily updates on the latest advancements in AI and machine learning agents. The resource includes extensive lists categorized
| Stars | 1,983 |
| Forks | 690 |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 55.7934155145011/100 |
| Open Issues | 246 |
| Last Updated | 2026-03-28 |
| Created | 2025-01-03 |
| Platforms | cli |
| Est. Tokens | ~671k |
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awesome_ai_agents is 🤖 A comprehensive list of 1,500+ resources and tools related to AI agents.. It is categorized as a Agent Tool with 2.0k GitHub stars.
You can find installation instructions and usage details in the awesome_ai_agents GitHub repository at github.com/jim-schwoebel/awesome_ai_agents. The project has 2.0k stars and 690 forks, indicating an active community.
awesome_ai_agents is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome_ai_agents on Agent Skills Hub include PraisonAI, ag2, solace-agent-mesh. 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: