awesome_ai_agents: A comprehensive list of 1,500+ resources and tools related to AI agents

by jim-schwoebel · Agent Tool · ★ 2.0k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 56/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-based-modelingagenticagentic-aiagentic-workflowagentsaiai-agentai-agent-frameworkai-agent-toolsai-agents-cli

Quick Facts

Stars1,983
Forks690
CategoryAgent Tool
LicenseApache-2.0
Quality Score56/100
Open Issues246
Last Updated2026-03-28
Created2025-01-03
Platformscli
Est. Tokens~671k

About awesome_ai_agents

🤖 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.

Compatible Skills

These tools work well together with awesome_ai_agents for enhanced workflows:

  • ag2 — semantic(0.40)+complementary+rare_topics+similar_pop (58%)
  • n8n-claw — semantic(0.29)+complementary+rare_topics+similar_pop+shared_platform (54%)
  • zypher-agent — semantic(0.29)+complementary+rare_topics+similar_pop+shared_platform (50%)
  • paperdebugger — semantic(0.28)+complementary+rare_topics+similar_pop+shared_platform (49%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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