Build Smart LLM Agents Fast with Awesome-AI-Apps

Want to build powerful AI agents but don't know where to start? This curated collection of 30+ open-source AI apps gives you ready-to-use examples for RAG, multi-agent workflows, and LLM-powered automation—built with LangChain, LlamaIndex, CrewAI, and more.

🔍 What It Does

awesome-ai-apps is a developer-friendly GitHub repo packed with practical examples for:

✅ RAG (Retrieval-Augmented Generation) – Structured document QA, semantic search
✅ AI Agents – Multi-step reasoning, autonomous workflows
✅ Structured Data Extraction – Pydantic-based parsing, LLM function calling
✅ Multi-Agent Collaboration – CrewAI task orchestration, role-based agents

Each project is self-contained, with clear setup instructions and minimal dependencies.

🚀 Why It’s Cool

• No fluff, just working code – Skip the boilerplate and dive straight into functional examples.
• Framework diversity – Compare LangChain vs. LlamaIndex vs. CrewAI implementations side-by-side.
• Real-world use cases – From HackerNews trend analysis to finance report generation, these aren’t toy demos.
• MIT-licensed – Fork, modify, and deploy without restrictions.

🛠️ How to Try It

1. Clone the repo:

   git clone https://github.com/Arindam200/awesome-ai-apps.git
   

2. Pick a project (e.g., advance_ai_agents/crewai_research_team) and follow its README.md.
3. Most examples only need:

   pip install -r requirements.txt
   export OPENAI_API_KEY="your_key_here"
   python app.py
   

Pro tip: The starter_ai_agents folder is perfect for beginners.

💡 Final Thoughts

This repo is like a Swiss Army knife for AI devs—whether you’re prototyping a chatbot or building a complex agent workflow, there’s likely an example here to kickstart your project.

What I’d do next:

• Combine the RAG examples with local LLMs (try Ollama).
• Extend the CrewAI research agent to scrape and analyze niche tech blogs.

If you’re tired of piecing together LLM tutorials, this is your shortcut.

🔗 Explore the repo: github.com/Arindam200/awesome-ai-apps

Got a cool fork or improvement? Drop a PR! 🛠️