awesome-generative-ai-apps: 50+ open-source generative AI apps you can clone, deploy, and monetize

by Anil-matcha · Agent Tool · ★ 624

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

Security audit verdict: SAFE · quality 59/100

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.

ai-appsai-image-generatorai-saasai-toolsai-video-generatorawesomeawesome-listgenerative-aigenerative-ai-appsimage-generation

Quick Facts

Stars624
Forks123
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score59/100
Open Issues3
Last Updated2026-10-22
Created2024-01-23
Platformscli, node
Est. Tokens~17k

About awesome-generative-ai-apps

🎨 Awesome Generative AI Apps 50+ open-source generative AI apps you can clone, deploy, and monetize. AI Platforms · Image Generators · Video Tools · Virtual Try-Ons · AI SaaS Templates · Platform Integrations Every template is production-ready with Google OAuth · Stripe Billing · One-click Vercel deploy <img src="https://img.shields.io/github/last-commit/Anil-matcha/awesome-gener

Compatible Skills

These tools work well together with awesome-generative-ai-apps for enhanced workflows:

  • Generative-Media-Skills — semantic(0.46)+complementary+rare_topics+similar_pop+shared_platform (65%)
  • sdk — semantic(0.33)+complementary+shared_fw(vercel)+rare_topics+similar_pop (54%)
  • MiniMax-MCP — semantic(0.38)+complementary+rare_topics+similar_pop (52%)
  • vibeframe — semantic(0.33)+complementary+rare_topics+similar_pop+shared_platform (51%)
  • claude-code-video-toolkit — semantic(0.29)+complementary+rare_topics+similar_pop (50%)

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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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