This repository is a comprehensive collection of 80+ practical examples, tutorials, and recipes for building powerful LLM-powered applications — including text agents, voice assistants, RAG apps, and MCP-backed tools. These projects serve as a guide for developers working with various AI frameworks and stacks.

📋 Table of Contents

• 🎓 Courses
• 🚀 Featured AI Apps
  • 🧩 Starter Agents
  • 🪶 Simple Agents
  • 🎙️ Voice Agents
  • 🗂️ MCP Agents
  • 🧠 Memory Agents
  • 📚 RAG Applications
  • 🔬 Advanced Agents
• 📺 Tutorials & Videos
• 🚀 Getting Started
• 🤝 Contributing

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🎓 Courses

AWS Strands Course for Beginners

Comprehensive hands-on course on building AI agents with AWS Strands SDK:

• AWS Strands Course - Complete 8-lesson course covering agent fundamentals to production patterns
  • Foundation: Basic agents, session management, structured output
  • Integration: MCP agents, human-in-the-loop patterns
  • Multi-Agent: Orchestrator agents, swarm intelligence, graph workflows
  • Production: Observability, safety guardrails, and best practices

🚀 Featured AI Apps

🧩 Starter Agents

Quick-start agents for learning and extending different AI frameworks. 19 projects

• Agno HackerNews Analysis - Agno-based agent for trend analysis on HackerNews
• OpenAI SDK Starter - OpenAI Agents SDK with email helper & haiku writer examples
• LlamaIndex Task Manager - LlamaIndex-powered task assistant
• CrewAI Research Crew - Multi-agent research team example
• Letta Starter - Stateful agent with persistent long-term memory across sessions
• PydanticAI Weather Bot - Real-time weather information agent
• LangChain Starter - LangChain tool-calling agent with create_tool_calling_agent + AgentExecutor, powered by Nebius
• LangGraph Starter - LangGraph prebuilt ReAct agent (create_react_agent) with custom tools, powered by Nebius
• AWS Strands Agent Starter - Weather report agent using AWS Strands SDK
• Mastra Starter - TypeScript-first agent with a custom tool powered by Nebius Token Factory
• Camel AI Starter - Performance benchmarking tool comparing various AI models
• DSPy Starter - DSPy framework for building and optimizing AI systems
• Google ADK Starter - Google Agent Development Kit starter template
• Semantic Kernel Starter - Microsoft Semantic Kernel ChatCompletionAgent with plugin-based tool calling
• smolagents Starter - Hugging Face smolagents code-first web-search agent
• AutoGen Starter - Microsoft AutoGen AssistantAgent with a custom tool, powered by Nebius Token Factory
• cagent Starter - Open-source customizable multi-agent runtime by Docker
• Sayna Voice Agent - Real-time voice infrastructure with multi-provider STT/TTS (Deepgram, ElevenLabs, Azure, Google) and WebSocket streaming
• KAOS Starter - Kubernetes-native multi-agent system with MCP tools and in-cluster LLM

🪶 Simple Agents

Straightforward, practical use-cases for everyday AI applications. 18 projects

• Agno AI Examples - Simple to multi-agent examples with web search & knowledge base
• Finance Agent - Real-time stock & market data tracking agent
• Human-in-the-Loop Agent - HITL actions for safe AI task execution
• Newsletter Generator - AI-powered newsletter builder with Firecrawl integration
• Reasoning Agent - Step-by-step financial reasoning demonstration
• Agno UI Example - Interactive UI for web & finance agents
• Mastra Weather Bot - Weather updates using Mastra AI framework
• Calendar Assistant - Calendar scheduling integration with Cal.com
• Smart Scheduler Assistant - AI-powered Gmail reader and Google Calendar manager
• Web Automation Agent - Browser automation agent using Nebius & browser-use
• Nebius Chat - Chat interface for Nebius Token Factory
• RouteLLM Chat - Intelligent model routing with RouteLLM (GPT-4o-mini vs Nebius Llama) for cost optimization
• Talk to Your DB - Natural language database queries with GibsonAI & LangChain
• LangChain Simple Agents - Nebius-powered incident response, support, vendor risk, and data quality agents with typed outputs and guarded tools
• Agent Discovery Agent - Find and compare AI agents across NANDA, MCP, Virtuals, A2A, and ERC-8004 registries

🎙️ Voice Agents

Real-time voice assistants and streaming speech pipelines. 7 projects

• Gradium + Nebius Voice Coach - Conversational pitch coach using Gradium STT/TTS, LangChain orchestration, and Nebius reasoning
• Healthcare Voice Contact Center - Pipecat healthcare contact center with appointment booking, FAQ handling, and supervisor escalation
• LiveKit + Gemini Realtime - LiveKit Agents with Google Gemini Live (gemini multimodal realtime) for low-latency voice conversations in a LiveKit room
• LiveKit Voice Agent with Web Search - LiveKit + Gemini realtime voice agent with an Olostep-backed web_search tool for fresh, source-cited answers
• LiveKit RSVP Confirmation Agent - Outbound voice agent that calls attendees, confirms RSVPs, and updates a JSON-backed event database
• Pipecat + Sarvam - Pipecat voice pipeline with Sarvam STT/TTS and OpenAI for chat; WebRTC (browser) or Daily transport via the Pipecat runner
• Speed-to-Lead Voice Agent - LiveKit-based voice agent that calls inbound leads instantly, routes them to specialists, and logs to a mock CRM

🗂️ MCP Agents

Examples using Model Context Protocol for external tool integration. 13 projects

• Doc-MCP - Semantic RAG documentation & Q&A system
• LangGraph MCP Agent - LangChain ReAct agent with Couchbase integration
• GitHub MCP Agent - Repository insights and analysis via MCP
• MCP Starter - GitHub repository analyzer starter template
• Talk to your Docs - Documentation Q&A agent with MCP
• Database MCP Agent - Conversational AI agent for managing GibsonAI database projects and schemas
• Hotel Finder Agent - Hotel search and booking using MCP integration
• Custom MCP Server - Custom MCP server implementation example
• Couchbase MCP Server - Couchbase database integration with MCP protocol
• ScaleKit Exa MCP Security - Security-focused MCP integration with Exa search
• Docker E2B MCP Agent - Secure AI agent for running agents in sandboxed Docker environments via MCP Gateway
• Taskade MCP Agent - AI-powered workspace agent for managing projects, tasks, and workflows via Taskade MCP
• Telemetry MCP Okahu - Self-healing Text-to-SQL demo using Okahu Cloud traces via hosted MCP

🧠 Memory Agents

Agents with advanced memory capabilities for context retention and personalization. 12 projects

• Agno Memory Agent - Agno-based agent with persistent memory capabilities
• arXiv Researcher Agent with Memori - Research assistant using OpenAI Agents and GibsonAI Memori
• AWS Strands Agent with Memori - AWS Strands agent enhanced with Memori memory system
• Blog Writing Agent - Personalized blog writing agent with memory for style consistency
• Social Media Agent - Social media automation agent with memory for brand voice
• Job Search Agent - Job search agent with memory for preference tracking
• Brand Reputation Monitor - AI-powered brand reputation monitoring with news analysis and sentiment tracking
• Product Launch Agent - Competitive intelligence tool for analyzing competitor product launches
• AI Consultant Agent - AI-powered consulting agent using Memori v3 as long-term memory fabric and ExaAI for research
• Customer Support Voice Agent - Voice-enabled customer support assistant with Memori v3 and Firecrawl for knowledge base management
• YouTube Trend Agent - YouTube channel analysis agent with Memori, Agno, and Exa for trend analysis and video ideas
• Study Coach Agent - AI-powered study coach with Memori v3 and LangGraph for multi-step verification of understanding

📚 RAG Applications

Retrieve-augmented generation examples for document understanding and knowledge bases. 12 projects

• Agentic RAG - Agentic RAG implementation with Agno & GPT-5
• Agentic RAG with Web Search - Advanced RAG with CrewAI, Qdrant, and Exa for hybrid search capabilities
• Resume Optimizer - AI-powered resume optimization and enhancement tool
• LlamaIndex RAG Starter - LlamaIndex + Nebius RAG starter template
• PDF RAG Analyzer - Multi-PDF chat and analysis system
• Qwen3 RAG Chat - PDF chatbot interface built with Streamlit
• Chat with Code - Conversational code explorer and documentation assistant
• Gemma3 OCR - OCR-based document and image processor using Gemma3 model
• Nvidia Nemotron OCR - OCR-based document and image parsing using Nvidia Nemotron-Nano-V2-12b
• Contextual AI RAG - Enterprise-level RAG with managed datastores and quality evaluation
• Advanced RAG with Reranking - Production-shaped PDF RAG with contextual retrieval, Qdrant hybrid search, reranking, streaming answers, upload ingestion, and clickable citations
• Simple RAG - Basic RAG implementation with Nebius for quick starts
• WFGY 16 Problem Map LLM Debugger - 16-mode map based debugger for LLM and RAG bugs

🔬 Advanced Agents

Complex multi-agent pipelines for production-ready end-to-end workflows. 19 projects

• Deep Research + Writing Agents Workshop - Nebius-powered LangChain MCP workshop with Exa research, Gemini image generation, and Okahu/Monocle eval observability
• Nebius AutoResearch - NYC taxi analytics pipeline optimizer; iterative code search with Nebius Token Factory (real-time or batch inference)
• AgentField Financial Research Agent - Financial Research Agent with AgentField
• Due Diligence Agent - Multi-agent company due diligence pipeline with AG2 and TinyFish deep web scraping
• Deep Researcher - Multi-stage research agent with Agno & ScrapeGraph AI
• Candilyzer - Candidate analysis tool for GitHub/LinkedIn profiles
• Job Finder - LinkedIn job search automation with Bright Data integration
• AI Trend Analyzer - AI trend mining and analysis with Google ADK
• Conference Talk Generator - Automated talk abstract generation with Google ADK & Couchbase
• Finance Service Agent - FastAPI server for stock data and predictions with Agno
• Price Monitoring Agent - Price monitoring and alerting agent powered by CrewAI, Twilio & Nebius
• Startup Idea Validator Agent - Agentic workflow to validate and analyze startup ideas
• Meeting Assistant Agent - Automated meeting notes and task creation from conversations
• AI Hedgefund - Agentic workflow for comprehensive financial analysis
• Smart GTM Agent - Go-to-market strategy and competitive analysis agent
• Conference Agnostic CFP Generator - Automated conference proposal generation system
• Car Finder Agent - AI-powered used car recommendation system with CrewAI and MongoDB
• Content Team Agent - SEO content optimization workflow with Agno & SerpAPI for Google AI Search ranking
• Temporal Agents - Examples of Temporal based AI Agents

📺 Tutorials & Videos

🎓 Course Playlists

• AWS Strands Course - Complete 8-lesson course on building AI agents with AWS Strands SDK

🔧 Framework Tutorials

• Build with MCP - Model Context Protocol tutorials and examples
• Build AI Agents - General AI agent development tutorials
• AI Agents, MCP and more... - Mixed tutorials and project demos

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Getting Started

Prerequisites

• Python 3.10+ (Python 3.11+ recommended for newer projects)
• Git for cloning the repository
• Package Manager: pip or uv (recommended for faster installs)
• API Keys: Most projects require API keys (see individual project READMEs)

Quick Start

1. Clone the repository

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

2. Choose a project and navigate to its directory

   cd starter_ai_agents/agno_starter  # Example: Start with Agno starter
   

3. Set up environment variables

   cp .env.example .env  # Copy example environment file
   # Edit .env with your API keys
   

4. Install dependencies

   # Using pip
   pip install -r requirements.txt
   
   # OR using uv (recommended - faster)
   uv sync
   # or
   uv pip install -e .
   

5. Run the project

   python main.py
   # or for Streamlit apps
   streamlit run app.py
   

🤝 Contributing

We welcome contributions from the community! Here's how you can help:

• 🐛 Report bugs or suggest improvements via GitHub Issues
• 💡 Add new projects - Submit your own AI agent examples
• 📝 Improve documentation - Help make projects more accessible
• 🔧 Fix issues - Contribute code improvements and bug fixes

Before contributing:

• Read our Contributing Guidelines for detailed information
• Check existing issues to avoid duplicates
• Follow the project structure and naming conventions
• Ensure your project includes a comprehensive README.md

Important: This project follows a Contributor Code of Conduct. By participating, you agree to abide by its terms.

📜 License

This repository is licensed under the MIT License. Feel free to use and modify the examples for your projects.

👥 Core Maintainers

This project is actively maintained by:

       

_{Arindam Majumder  ·  Shivay Lamba  ·  Astrodevil}

For any questions, suggestions, or contributions, feel free to reach out to the maintainers.

Thank You for the Support! 🙏