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 ARUNAGIRINATHAN-K · Agent Tool · ★ 350
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ai-agents-2026 safe to install? View the security audit →
Awesome AI Agents 2026 []() The most comprehensive, structured guide to AI agent frameworks, tools, and resources. Updated weekly. Compared side-by-side. Built for developers who ship. Explore the Stack • Read the docs in CONTRIBUTING.md • Submit a Tool Contents Orchestration Frameworks Coding Agents Memory and Context Multi-Agent Systems Agent Communication Protocols Browser and Computer Use Agents [Agent Tooling and Infrastruct
| Stars | 350 |
| Forks | 216 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 49.9100462401169/100 |
| Open Issues | 56 |
| Last Updated | 2026-10-04 |
| Created | 2025-06-01 |
| Platforms | node |
| Est. Tokens | ~26k |
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awesome-ai-agents-2026 is ✨ Awesome AI Agents for 2026. It is categorized as a Agent Tool with 350 GitHub stars.
awesome-ai-agents-2026 is primarily written in TypeScript. It covers topics such as 2026, agent-frameworks, ai-agents.
You can find installation instructions and usage details in the awesome-ai-agents-2026 GitHub repository at github.com/ARUNAGIRINATHAN-K/awesome-ai-agents-2026. The project has 350 stars and 216 forks, indicating an active community.
The top alternatives to awesome-ai-agents-2026 on Agent Skills Hub include awesome-agentos, awesome-ai-agents-2026, riseofmachine. 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: