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 Sumanth077 · MCP Server · ★ 2.9k
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🔒 Is Hands-On-AI-Engineering safe to install? View the security audit →
🚀 Hands-On AI Engineering A curated collection of practical, production-ready AI projects across multiple modalities, including language models, multimodal models, OCR systems, RAG pipelines, and AI agents. Each project is designed to help you learn, experiment, and build real-world AI applications. 📋 Table of Contents 🎯 Why This Repository? 🗂️ Project Categories 🚀 Getting Started 🤝 Contributing 📜 License 🎯 Why This Repository? Learn by Doing: Each project includes complete code, setup instructions, and documentation Production-Ready: Projects follow best practices and are ready to be adapted for real-world use Diverse Use Cases: From RAG systems to multi-agent workflows and specialized applications Multiple Model Providers: Projects use OpenAI, Anthropic, Google, and open-source models Active Community: Regular updates and new project additions 🗂️ Project Categories 🤖 AI Agents Intelligent ai
| Stars | 2,942 |
| Forks | 780 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 54.8546981242714/100 |
| Open Issues | 8 |
| Last Updated | 2026-08-25 |
| Created | 2025-02-24 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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Hands-On-AI-Engineering is A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.. It is categorized as a MCP Server with 2.9k GitHub stars.
Hands-On-AI-Engineering is primarily written in Python. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the Hands-On-AI-Engineering GitHub repository at github.com/Sumanth077/Hands-On-AI-Engineering. The project has 2.9k stars and 780 forks, indicating an active community.
The top alternatives to Hands-On-AI-Engineering on Agent Skills Hub include mcp-agent, voltagent, cursor-talk-to-figma-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.