? 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 even open-source models like 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 Services Agency
?️‍♂️ AI Health & Fitness Planner Agent
? AI Startup Trend Analysis Agent
?️ AI Journalist Agent
? AI Finance Agent Team
? AI Personal Finance 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

RAG (Retrieval Augmented Generation)

? 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

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_gmail 
```
Install the required dependencies
```
pip install -r requirements.txt
```
Follow the project-specific instructions in each project's README.md file 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.