
awesome llm apps
:star: Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models
Repository Info
About This Server
:star: Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
🌟 Awesome LLM Apps
A curated collection of awesome LLM apps built with RAG and AI agents. This repository features LLM apps that use models from OpenAI, Anthropic, Google, and open-source models like DeepSeek, 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 RAG and AI Agents.
- 🎓 Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications.
📂 Featured AI Projects
AI Agents
- 💼 AI Customer Support Agent
- 📈 AI Investment Agent
- 👨⚖️ AI Legal Agent Team
- 💼 AI Recruitment Agent Team
- 👨💼 AI Services Agency
- 🧲 AI Competitor Intelligence Agent Team
- 🏋️♂️ AI Health & Fitness Planner Agent
- 📈 AI Startup Trend Analysis Agent
- 🗞️ AI Journalist Agent
- 💲 AI Finance Agent Team
- 🧲 AI Competitor Intelligence Agent Team
- 🎯 AI Lead Generation Agent
- 💰 AI Personal Finance Agent
- 🩻 AI Medical Scan Diagnosis Agent
- 👨🏫 AI Teaching Agent Team
- 🛫 AI Travel Agent
- 🎬 AI Movie Production Agent
- 📰 Multi-Agent AI Researcher
- 💻 Multimodal AI Coding Agent Team with o3-mini and Gemini
- 📑 AI Meeting Agent
- ♜ AI Chess Agent Game
- 🏠 AI Real Estate Agent
- 🌐 Local News Agent OpenAI Swarm
- 📊 AI Finance Agent with xAI Grok
- 🎮 AI 3D PyGame Visualizer with DeepSeek R1
- 🧠 AI Reasoning Agent
- 🧬 Multimodal AI Agent
RAG (Retrieval Augmented Generation)
- 🔍 Autonomous RAG
- 🔗 Agentic RAG
- 🤔 Agentic RAG with Gemini Flash Thinking
- 🐋 Deepseek Local RAG Reasoning Agent
- 🔄 Llama3.1 Local RAG
- 🧩 RAG-as-a-Service
- 🦙 Local RAG Agent
- 👀 RAG App with Hybrid Search
- 🖥️ Local RAG App with Hybrid Search
- 📠 RAG Agent with Database Routing
- 🔄 Corrective RAG Agent
MCP AI Agents
- 🐙 MCP GitHub Agent
LLM Apps with Memory
- 💾 AI Arxiv Agent with Memory
- 📝 LLM App with Personalized Memory
- 🛩️ AI Travel Agent with Memory
- 🗄️ Local ChatGPT with Memory
Chat with X
- 💬 Chat with GitHub Repo
- 📨 Chat with Gmail
- 📄 Chat with PDF
- 📚 Chat with Research Papers
- 📝 Chat with Substack Newsletter
- 📽️ Chat with YouTube Videos
LLM Finetuning
- 🌐 Llama3.2 Finetuning
Advanced Tools and Frameworks
- 🧪 Gemini Multimodal Chatbot
- 🔄 Mixture of Agents
- 🌐 MultiLLM Chat Playground
- 🔗 LLM Router App
- 💬 Local ChatGPT Clone
- 🌍 Web Scraping AI Agent
- 🔍 Web Search AI Assistant
- 🧪 Cursor AI Experiments
🚀 Getting Started
-
Clone the repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git -
Navigate to the desired project directory
cd awesome-llm-apps/chat_with_X_tutorials/chat_with_gmail -
Install the required dependencies
pip install -r requirements.txt -
Follow the project-specific instructions in each project's
README.mdfile to set up and run the app.
🤝 Contributing to Open Source
Contributions are welcome! If you have any ideas, improvements, or new apps to add, please create a new GitHub Issue or submit a pull request. Make sure to follow the existing project structure and include a detailed README.md for each new app.
Thank You, Community, for the Support! 🙏
🌟 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.
Quick Start
Clone the repository
git clone https://github.com/isaccanedo/awesome-llm-appsInstall dependencies
cd awesome-llm-apps
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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