Shubhamsaboo/awesome-llm-apps
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
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Use Cases & Benefits
- This repository is a curated collection of LLM applications featuring AI Agents, RAG, and multi-agent systems using OpenAI, Anthropic, Gemini, and open-source models.
- Key technologies include Python, Retrieval Augmented Generation (RAG), AI Agents, multi-agent teams, and support for local and cloud-based LLM models.
- Strengths include extensive, well-documented projects with diverse AI agent types and strong community sponsorship; limitation is potential complexity for beginners.
- With over 62,000 stars and 7,500 forks since April 2024, it shows high adoption and popularity in the AI and LLM developer community.
- Ideal for developers and researchers looking to explore, build, or contribute to advanced LLM-powered applications across domains like finance, health, gaming, and voice AI.
About awesome-llm-apps
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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, 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 AI Agents, Agent Teams, MCP & RAG.
- 🎓 Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications.
🙏 Thanks to our sponsors
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📂 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
- 🌐 Local News Agent (OpenAI Swarm)
- 🔄 Mixture of Agents
- 📊 xAI Finance Agent
- 🔍 OpenAI Research Agent
- 🕸️ Web Scrapping AI Agent (Local & Cloud)
🚀 Advanced AI Agents
- 🔍 AI Deep Research Agent
- 🤝 AI Consultant Agent
- 🏗️ AI System Architect Agent
- 🎯 AI Lead Generation 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 Social Media News and Podcast Agent
🎮 Autonomous Game Playing Agents
🤝 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
- 🌏 AI Travel Planner Agent Team
🗣️ Voice AI Agents
🌐 MCP AI Agents
📀 RAG (Retrieval Augmented Generation)
- 🔗 Agentic RAG
- 🧐 Agentic RAG with Reasoning
- 📰 AI Blog Search (RAG)
- 🔍 Autonomous RAG
- 🔄 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 Fine-tuning Tutorials
🧑🏫 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
🚀 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/starter_ai_agents/ai_travel_agent -
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.
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