base on A collection of projects showcasing RAG, agents, workflows, and other AI use cases # Awesome AI Apps [](https://awesome.re)  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. Powered by [Nebius AI Studio](https://dub.sh/nebius) - your one-stop platform for building and deploying AI applications. ## 🚀 Featured AI Agent Frameworks - [<img src="https://raw.githubusercontent.com/google/adk-python/main/assets/agent-development-kit.png" alt="Google ADK logo" width="20" height="20"> Google Agent Development Kit (ADK)](https://google.github.io/adk-docs/) - [<img src="https://avatars.githubusercontent.com/u/14957082?s=200&v=4" alt="OpenAI Agents SDK logo" width="20" height="20"> OpenAI Agents SDK](https://openai.github.io/openai-agents-python/) - [<img src="https://cdn.simpleicons.org/langchain" alt="LangChain logo" width="25" height="25"> LangChain ](https://python.langchain.com/) - [<img src="https://avatars.githubusercontent.com/u/130722866?s=200&v=4" alt="Llamaindex logo" width="20" height="20"> LlamaIndex](https://www.llamaindex.ai/) - [<img src="https://avatars.githubusercontent.com/u/104874993?s=48&v=4" alt="Agno logo" width="20" height="20"> Agno](https://www.agno.com/) - [<img src="https://cdn.prod.website-files.com/66cf2bfc3ed15b02da0ca770/66d07240057721394308addd_Logo%20(1).svg" alt="CrewAI logo" width="35" height="25"> CrewAI](https://www.crewai.com/) - [<img src="https://avatars.githubusercontent.com/u/209155962?s=200&v=4" alt="AWS Strands Agents logo" width="20" height="20"> AWS Strands Agent](https://strandsagents.com/) - [<img src="https://avatars.githubusercontent.com/u/110818415?s=200&v=4" alt="Pydantic AI logo" width="20" height="20"> Pydantic AI](https://ai.pydantic.dev/) - [<img src="https://avatars.githubusercontent.com/u/134388954?s=200&v=4" alt="Camel AI logo" width="20" height="20"> CAMEL‑AI](https://www.camel-ai.org/) - [<img src="assets/DSPy.png" alt="DSPy logo" width="20" height="20"> DSPy](https://dspy.ai/) ## 🧩 Starter Agents **Quick-start agents for learning and extending:** - [Agno HackerNews Analysis](starter_ai_agents/agno_starter) - Agno-based agent for trend analysis on HackerNews. - [OpenAI SDK Starter](starter_ai_agents/openai_agents_sdk) - OpenAI Agents SDK based email helper & haiku writer. - [LlamaIndex Task Manager](starter_ai_agents/llamaindex_starter) - LlamaIndex-powered task assistant. - [CrewAI Research Crew](starter_ai_agents/crewai_starter) - Multi-agent research team. - [PydanticAI Weather Bot](starter_ai_agents/pydantic_starter) - Real-time weather info. - [LangChain-LangGraph Starter](starter_ai_agents/langchain_langgraph_starter) - LangChain + LangGraph starter. - [AWS Strands Agent Starter](starter_ai_agents/aws_strands_starter) - Weather report Agent. - [Camel AI Starter](starter_ai_agents/camel_ai_starter) - Performance benchmarking tool that compares the performance of various AI models. ## 🪶 Simple Agents **Straightforward, practical use-cases:** - [Finance Agent](simple_ai_agents/finance_agent) - Tracks live stock & market data. - [Human-in-the-Loop Agent](simple_ai_agents/human_in_the_loop_agent) - HITL actions for safe AI tasks. - [Newsletter Generator](simple_ai_agents/newsletter_agent) - AI newsletter builder with Firecrawl. - [Reasoning Agent](simple_ai_agents/reasoning_agent) - Financial reasoning step-by-step. - [Agno UI Example](simple_ai_agents/agno_ui_agent) - UI for web & finance agents. - [Mastra Weather Bot](simple_ai_agents/mastra_ai_weather_agent) - Weather updates with Mastra AI. - [Calendar Assistant](simple_ai_agents/cal_scheduling_agent) - Calendar scheduling with Cal.com. - [Web Automation Agent](simple_ai_agents/browser_agent) - Simple Browser Agent implementation with Nebius & browser use. - [Nebius Chat](simple_ai_agents/nebius_chat) - Nebius AI Studio Chat interface. - [Talk to Your DB](simple_ai_agents/talk_to_db) - Talk to your Database with GibsonAI & Langchain ## 🗂️ MCP Agents **Examples using Model Context Protocol:** - [Doc-MCP](mcp_ai_agents/doc_mcp) - Semantic RAG docs & Q\&A. - [LangGraph MCP Agent](mcp_ai_agents/langchain_langgraph_mcp_agent) - LangChain ReAct agent with Couchbase. - [GitHub MCP Agent](mcp_ai_agents/github_mcp_agent) - Repo insights via MCP. - [MCP Starter](mcp_ai_agents/mcp_starter) - GitHub repo analyzer starter. - [Talk to your Docs](mcp_ai_agents/docs_qna_agent) - Documentation QnA Agent - [Database MCP Agent](mcp_ai_agents/database_mcp_agent) - A conversational AI agent for managing GibsonAI database projects and schemas. ## 🧠 Memory Agents **Agents with advanced memory capabilities:** - [Agno Memory Agent](memory_agents/agno_memory_agent) - Agno-based agent with persistent memory. - [arXiv Researcher Agent with Memori](memory_agents/arxiv_researcher_agent_with_memori) - Research assistant using OpenAI Agents and GibsonAI Memori. - [AWS Strands Agent with Memori](memory_agents/aws_strands_agent_with_memori) - AWS Strands agent enhanced with Memori memory. - [Blog Writing Agent](memory_agents/blog_writing_agent) - Personalized blog writing agent with memory. - [Social Media Agent](memory_agents/social_media_agent) - Social media automation agent with memory. ## 📚 RAG Applications **Retrieve-augmented generation examples:** - [Agentic RAG](rag_apps/agentic_rag) - Agentic RAG with Agno & GPT 5. - [Agentic RAG with Web Search](rag_apps/agentic_rag_with_web_search) - Advanced RAG with CrewAI, Qdrant, and Exa for hybrid search. - [Resume Optimizer](rag_apps/resume_optimizer) - Boost resumes with AI. - [LlamaIndex RAG Starter](rag_apps/llamaIndex_starter) - LlamaIndex + Nebius RAG starter. - [PDF RAG Analyzer](rag_apps/pdf_rag_analyser) - Chat with multiple PDFs. - [Qwen3 RAG Chat](rag_apps/qwen3_rag) - PDF chatbot with Streamlit. - [Chat with Code](rag_apps/chat_with_code) - Conversational code explorer. - [Gemma3 OCR](rag_apps/gemma_ocr/) - OCR-based document and image processor using Gemma3 - [Contextual AI RAG](rag_apps/contextual_ai_rag) - Enterprise-level RAG with managed datastores and quality evaluation. ## 🔬 Advanced Agents **Complex pipelines for end-to-end workflows:** - [Deep Researcher](advance_ai_agents/deep_researcher_agent) - Multi-stage research with Agno & Scrapegraph AI. - [Candilyzer](advance_ai_agents/candidate_analyser) - Analyze GitHub/LinkedIn profiles. - [Job Finder](advance_ai_agents/job_finder_agent) - LinkedIn job search with Bright Data. - [AI Trend Analyzer](advance_ai_agents/trend_analyzer_agent) - AI trend mining with Google ADK. - [Conference Talk Generator](advance_ai_agents/conference_talk_abstract_generator) - Draft talk abstracts with Google ADK & Couchbase. - [Finance Service Agent](advance_ai_agents/finance_service_agent) - FastAPI server for stock data and predictions with Agno. - [Price Monitoring Agent](advance_ai_agents/price_monitoring_agent) - Price monitoring and alerting Agent powered by CrewAi, Twilio & Nebius. - [Startup Idea Validator Agent](advance_ai_agents/startup_idea_validator_agent) - Agentic Workflow to validate and analyze startup ideas. - [Meeting Assistant Agent](advance_ai_agents/meeting_assistant_agent) - Agentic Workflow that send meeting notes and creates task based on conversation. ## 📺 Playlist of Demo Videos & Tutorials - [Build with MCP](https://www.youtube.com/playlist?list=PLMZM1DAlf0Lolxax4L2HS54Me8gn1gkz4) - [Build AI Agents](https://www.youtube.com/playlist?list=PLMZM1DAlf0LqixhAG9BDk4O_FjqnaogK8) - [AI Agents, MCP and more...](https://www.youtube.com/playlist?list=PL2ambAOfYA6-LDz0KpVKu9vJKAqhv0KKI) ## Getting Started ### Prerequisites - Python 3.10 or higher - Git - pip (Python package manager) or uv ### Installation Steps 1. **Clone the repository** ```bash git clone https://github.com/Arindam200/awesome-ai-apps.git ``` 2. **Navigate to the desired project directory** ```bash cd awesome-ai-apps/starter_ai_agents/agno_starter ``` 3. **Install the required dependencies** ```bash pip install -r requirements.txt ``` 4. **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 ## 🤝 Contributing We welcome contributions from the community! If you'd like to contribute, please see our [Contributing Guidelines](CONTRIBUTING.md) for more information on how to get started. Please note that this project is released with a [Contributor Code of Conduct](CODE_OF_CONDUCT.md). By participating in this project you agree to abide by its terms. ## 📜 License This repository is licensed under the [MIT License](./LICENSE). Feel free to use and modify the examples for your projects. ## Thank You for the Support! 🙏 [](https://www.star-history.com/#Arindam200/awesome-ai-apps&Date) ", Assign "at most 3 tags" to the expected json: {"id":"14662","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"