Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
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Madhu 55b680e0ee fix: improve competitor agent
- Comment out unused exa_py import
- Improve error handling for Firecrawl API responses
- Enhance competitor analysis UI with better feedback
- Replace agent-based comparison with DataFrame approach
- Add extraction success/failure tracking
2025-07-26 20:19:40 +05:30
.github/workflows Added Claude Code to the repo 2025-05-22 18:56:50 -05:00
advanced_ai_agents fix: improve competitor agent 2025-07-26 20:19:40 +05:30
advanced_llm_apps Added new Demo 2025-06-01 14:25:51 -05:00
docs/banner feat: updated teaching agent team code 2025-01-11 02:00:52 -06:00
mcp_ai_agents Merge pull request #207 from Madhuvod/new-mcp-proj 2025-05-20 18:26:43 -05:00
rag_tutorials Merge pull request #205 from Madhuvod/local-rag-qwen 2025-05-14 15:11:42 -05:00
starter_ai_agents docs: fixed reference in pip command 2025-05-27 07:13:54 +03:00
voice_ai_agents Updated repo structure 2025-04-17 16:01:23 -05:00
.gitignore Added Claude Code to the repo 2025-05-22 18:56:50 -05:00
LICENSE Update LICENSE 2024-11-04 19:31:10 -06:00
README.md Update README.md 2025-05-19 21:49:52 +08:00

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🌟 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.

Shubhamsaboo%2Fawesome-llm-apps | Trendshift

🤔 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.

🚨 Open Source AI Agent Hackathon

We're launching a Global AI Agent Hackathon in collaboration with AI Agent ecosystem partners — open to all developers, builders, and startups working on agents, RAG, tool use, or multi-agent systems.

  • Win up to $25,000 in cash by building Agents
  • Top 5 projects will be featured in the top trending Awesome LLM Apps repo.
  • $20,000 worth of API and tool use credits from the partners

Participate Now: Global AI Agent Hackathon

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AI Agents

🌱 Starter AI Agents

🚀 Advanced AI Agents

🎮 Autonomous Game Playing Agents

🤝 Multi-agent Teams

🗣️ Voice AI Agents

🌐 MCP AI Agents

RAG (Retrieval Augmented Generation)

MCP AI Agents

🧠 Advanced LLM Apps

💬 Chat with X Tutorials

💾 LLM Apps with Memory Tutorials

🔧 LLM Fine-tuning Tutorials

🚀 Getting Started

  1. Clone the repository

    git clone https://github.com/Shubhamsaboo/awesome-llm-apps.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.

🤝 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! 🙏

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🌟 Dont 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.