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🌟 Awesome LLM Apps

A curated collection of Awesome LLM apps built with RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents, and more. This repository features LLM apps that use models from OpenAI , Anthropic, Google, xAI and open-source models like Qwen or Llama that you can run locally on your computer.

🤔 Why Awesome LLM Apps?

• 💡 Discover practical and creative ways LLMs can be applied across different domains, from code repositories to email inboxes and more.
• 🔥 Explore apps that combine LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with AI Agents, Agent Teams, MCP & RAG.
• 🎓 Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications.

📂 Featured AI Projects

AI Agents

🌱 Starter AI Agents

• 🎙️ AI Blog to Podcast Agent
• ❤️‍🩹 AI Breakup Recovery Agent
• 📊 AI Data Analysis Agent
• 🩻 AI Medical Imaging Agent
• 😂 AI Meme Generator Agent (Browser)
• 🎵 AI Music Generator Agent
• 🛫 AI Travel Agent (Local & Cloud)
• ✨ Gemini Multimodal Agent
• 🔄 Mixture of Agents
• 📊 xAI Finance Agent
• 🔍 OpenAI Research Agent
• 🕸️ Web Scraping AI Agent (Local & Cloud SDK)

🚀 Advanced AI Agents

• 🏚️ 🍌 AI Home Renovation Agent with Nano Banana Pro
• 🔍 AI Deep Research Agent
• 📊 AI VC Due Diligence Agent Team
• 🔬 AI Research Planner & Executor (Google Interactions API)
• 🤝 AI Consultant Agent
• 🏗️ AI System Architect Agent
• 💰 AI Financial Coach Agent
• 🎬 AI Movie Production Agent
• 📈 AI Investment Agent
• 🏋️‍♂️ AI Health & Fitness Agent
• 🚀 AI Product Launch Intelligence Agent
• 🗞️ AI Journalist Agent
• 🧠 AI Mental Wellbeing Agent
• 📑 AI Meeting Agent
• 🧬 AI Self-Evolving Agent
• 👨🏻‍💼 AI Sales Intelligence Agent Team
• 🎧 AI Social Media News and Podcast Agent
• 🌐 Openwork - Open Browser Automation Agent

🎮 Autonomous Game Playing Agents

• 🎮 AI 3D Pygame Agent
• ♜ AI Chess Agent
• 🎲 AI Tic-Tac-Toe Agent

🤝 Multi-agent Teams

• 🧲 AI Competitor Intelligence Agent Team
• 💲 AI Finance Agent Team
• 🎨 AI Game Design Agent Team
• 👨‍⚖️ AI Legal Agent Team (Cloud & Local)
• 💼 AI Recruitment Agent Team
• 🏠 AI Real Estate Agent Team
• 👨‍💼 AI Services Agency (CrewAI)
• 👨‍🏫 AI Teaching Agent Team
• 💻 Multimodal Coding Agent Team
• ✨ Multimodal Design Agent Team
• 🎨 🍌 Multimodal UI/UX Feedback Agent Team with Nano Banana
• 🌏 AI Travel Planner Agent Team

🗣️ Voice AI Agents

• 🗣️ AI Audio Tour Agent
• 📞 Customer Support Voice Agent
• 🔊 Voice RAG Agent (OpenAI SDK)
• 🎙️ OpenSource Voice Dictation Agent (like Wispr Flow

MCP AI Agents

• ♾️ Browser MCP Agent
• 🐙 GitHub MCP Agent
• 📑 Notion MCP Agent
• 🌍 AI Travel Planner MCP Agent

📀 RAG (Retrieval Augmented Generation)

• 🔥 Agentic RAG with Embedding Gemma
• 🧐 Agentic RAG with Reasoning
• 📰 AI Blog Search (RAG)
• 🔍 Autonomous RAG
• 🔄 Contextual AI RAG Agent
• 🔄 Corrective RAG (CRAG)
• 🐋 Deepseek Local RAG Agent
• 🤔 Gemini Agentic RAG
• 👀 Hybrid Search RAG (Cloud)
• 🔄 Llama 3.1 Local RAG
• 🖥️ Local Hybrid Search RAG
• 🦙 Local RAG Agent
• 🧩 RAG-as-a-Service
• ✨ RAG Agent with Cohere
• ⛓️ Basic RAG Chain
• 📠 RAG with Database Routing
• 🖼️ Vision RAG

💾 LLM Apps with Memory Tutorials

• 💾 AI ArXiv Agent with Memory
• 🛩️ AI Travel Agent with Memory
• 💬 Llama3 Stateful Chat
• 📝 LLM App with Personalized Memory
• 🗄️ Local ChatGPT Clone with Memory
• 🧠 Multi-LLM Application with Shared Memory

💬 Chat with X Tutorials

• 💬 Chat with GitHub (GPT & Llama3)
• 📨 Chat with Gmail
• 📄 Chat with PDF (GPT & Llama3)
• 📚 Chat with Research Papers (ArXiv) (GPT & Llama3)
• 📝 Chat with Substack
• 📽️ Chat with YouTube Videos

🎯 LLM Optimization Tools

• 🎯 Toonify Token Optimization - Reduce LLM API costs by 30-60% using TOON format
• 🧠 Headroom Context Optimization - Reduce LLM API costs by 50-90% through intelligent context compression for AI agents (includes persistent memory & MCP support)

🔧 LLM Fine-tuning Tutorials

• Gemma 3 Fine-tuning
• Llama 3.2 Fine-tuning

🧑‍🏫 AI Agent Framework Crash Course

Google ADK Crash Course

• Starter agent; model‑agnostic (OpenAI, Claude)
• Structured outputs (Pydantic)
• Tools: built‑in, function, third‑party, MCP tools
• Memory; callbacks; Plugins
• Simple multi‑agent; Multi‑agent patterns

OpenAI Agents SDK Crash Course

• Starter agent; function calling; structured outputs
• Tools: built‑in, function, third‑party integrations
• Memory; callbacks; evaluation
• Multi‑agent patterns; agent handoffs
• Swarm orchestration; routing logic

🚀 Getting Started

1. Clone the repository

   git clone https://github.com/itzharshitmavi/awsome-LLM-model-apps-for-daily-uses.git
   

2. Navigate to the desired project directory

   cd awesome-llm-apps/starter_ai_agents/ai_travel_agent
   

3. Install the required dependencies

   pip install -r requirements.txt
   

4. Follow the project-specific instructions in each project's README.md file to set up and run the app.

🌟 Don’t miss out on future updates! Star the repo now and be the first to know about new and exciting LLM apps with RAG and AI Agents.