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 Zijian-Ni · Agent Tool · ★ 245
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 definitive curated list of AI models, agent frameworks, tools, protocols, and resources for 2026 — the year agents went mainstream and AI became infrastructure. Covering foundation models, multimodal AI, agent protocols (MCP/A2A), coding agents, computer use, generative AI, and more. 🏷️ Status Legend Entries may carry one or more status tags so readers can
| Stars | 245 |
| Forks | 91 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 59.1567569003554/100 |
| Last Updated | 2026-09-13 |
| Created | 2026-03-24 |
| Platforms | python |
| Est. Tokens | ~25k |
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awesome-ai-agents-2026 is 🤖 A curated list of AI Agent frameworks, tools, platforms, and resources for 2026 — the year agents went mainstream. It is categorized as a Agent Tool with 245 GitHub stars.
awesome-ai-agents-2026 is primarily written in Python. It covers topics such as 2026, agent-framework, ai.
You can find installation instructions and usage details in the awesome-ai-agents-2026 GitHub repository at github.com/Zijian-Ni/awesome-ai-agents-2026. The project has 245 stars and 91 forks, indicating an active community.
awesome-ai-agents-2026 is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-ai-agents-2026 on Agent Skills Hub include awesome-ai-agents-2026, vizra-adk, 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: