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 even open-source models like LLaMA that you can run locally on your computer.
- 💡 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.
- 💼 AI Customer Support Agent
- 📈 AI Investment Agent
- 👨⚖️ AI Legal Agent Team
- 💼 AI Recruitment Agent Team
- 👨💼 AI Services Agency
- 🏋️♂️ AI Health & Fitness Planner Agent
- 📈 AI Startup Trend Analysis Agent
- 🗞️ AI Journalist Agent
- 💲 AI Finance Agent Team
- 💰 AI Personal Finance Agent
- 🩻 AI Medical Scan Diagnosis Agent
- 🛫 AI Travel Agent
- 🎬 AI Movie Production Agent
- 📰 Multi-Agent AI Researcher
- 📑 AI Meeting Agent
- 🌐 Local News Agent OpenAI Swarm
- 📊 AI Finance Agent with xAI Grok
- 🧠 AI Reasoning Agent
- 🧬 Multimodal AI Agent
- 🔍 Autonomous RAG
- 🔗 Agentic RAG
- 🔄 Llama3.1 Local RAG
- 🧩 RAG-as-a-Service
- 🦙 Local RAG Agent
- 👀 RAG App with Hybrid Search
- 🖥️ Local RAG App with Hybrid Search
- 💾 AI Arxiv Agent with Memory
- 📝 LLM App with Personalized Memory
- 🛩️ AI Travel Agent with Memory
- 🗄️ Local ChatGPT with Memory
- 💬 Chat with GitHub Repo
- 📨 Chat with Gmail
- 📄 Chat with PDF
- 📚 Chat with Research Papers
- 📝 Chat with Substack Newsletter
- 📽️ Chat with YouTube Videos
- 🧪 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
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Clone the repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
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Navigate to the desired project directory
cd awesome-llm-apps/chat_with_X_tutorials/chat_with_gmail
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Install the required dependencies
pip install -r requirements.txt
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Follow the project-specific instructions in each project's
README.md
file to set up and run the app.
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.
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