This repository is a comprehensive collection of practical examples, tutorials, and recipes for building powerful LLM-powered applications. From simple chatbots to advanced AI agents, these projects serve as a guide for developers working with various AI frameworks and tools.
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Google Agent Development Kit (ADK)OpenAI Agents SDK
LangChain
LlamaIndex
Agno
CrewAI
AWS Strands Agent
Pydantic AI
CAMEL‑AI
DSPy
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CrewAIQuick-start agents for learning and extending:
- Agno HackerNews Analysis - Agno-based agent for trend analysis on HackerNews.
- OpenAI SDK Starter - OpenAI Agents SDK based email helper & haiku writer.
- LlamaIndex Task Manager - LlamaIndex-powered task assistant.
- CrewAI Research Crew - Multi-agent research team.
- PydanticAI Weather Bot - Real-time weather info.
- LangChain-LangGraph Starter - LangChain + LangGraph starter.
- AWS Strands Agent Starter - Weather report Agent.
- Camel AI Starter - Performance benchmarking tool that compares the performance of various AI models.
Straightforward, practical use-cases:
- Finance Agent - Tracks live stock & market data.
- Human-in-the-Loop Agent - HITL actions for safe AI tasks.
- Newsletter Generator - AI newsletter builder with Firecrawl.
- Reasoning Agent - Financial reasoning step-by-step.
- Agno UI Example - UI for web & finance agents.
- Mastra Weather Bot - Weather updates with Mastra AI.
- Calendar Assistant - Calendar scheduling with Cal.com.
- Web Automation Agent - Simple Browser Agent implementation with Nebius & browser use.
- Nebius Chat - Nebius AI Studio Chat interface.
- Talk to Your DB - Talk to your Database with GibsonAI & Langchain
Examples using Model Context Protocol:
- Doc-MCP - Semantic RAG docs & Q&A.
- LangGraph MCP Agent - LangChain ReAct agent with Couchbase.
- GitHub MCP Agent - Repo insights via MCP.
- MCP Starter - GitHub repo analyzer starter.
- Talk to your Docs - Documentation QnA Agent
Agents with advanced memory capabilities:
- Agno Memory Agent - Agno-based agent with persistent memory.
- 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.
- Blog Writing Agent - Personalized blog writing agent with memory.
- Social Media Agent - Social media automation agent with memory.
Retrieve-augmented generation examples:
- Agentic RAG - Agentic RAG with Agno & GPT 5.
- Resume Optimizer - Boost resumes with AI.
- LlamaIndex RAG Starter - LlamaIndex + Nebius RAG starter.
- PDF RAG Analyzer - Chat with multiple PDFs.
- Qwen3 RAG Chat - PDF chatbot with Streamlit.
- Chat with Code - Conversational code explorer.
- Gemma3 OCR - OCR-based document and image processor using Gemma3
Complex pipelines for end-to-end workflows:
- Deep Researcher - Multi-stage research with Agno & Scrapegraph AI.
- Candilyzer - Analyze GitHub/LinkedIn profiles.
- Job Finder - LinkedIn job search with Bright Data.
- AI Trend Analyzer - AI trend mining with Google ADK.
- Conference Talk Generator - Draft talk abstracts 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.
- Python 3.10 or higher
- Git
- pip (Python package manager) or uv
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Clone the repository
git clone https://github.com/Arindam200/awesome-ai-apps.git
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Navigate to the desired project directory
cd awesome-ai-apps/starter_ai_agents/agno_starter -
Install the required dependencies
pip install -r requirements.txt
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Follow project-specific instructions
- Each project has its own README.md with detailed setup and usage instructions
- Make sure to read the project-specific documentation before running the application
We welcome contributions from the community! Whether you're a beginner or an expert, your examples and tutorials can help others learn and grow. Here's how you can contribute:
- Submit a Pull Request with your LLM application example
- Add detailed documentation and setup instructions
- Include requirements.txt or environment.yml
- Share your experience and best practices
This repository is licensed under the MIT License. Feel free to use and modify the examples for your projects.