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Awesome Llm Apps

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource

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Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

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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, xAI and open-source models like 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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Tiger Data MCP

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Don't lose this

Three weeks from now, you'll want Awesome Llm Apps again. Will you remember where to find it?

Save it to your library and the next time you need Awesome Llm Apps, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource. Best for anyone looking to make their AI assistant more capable in knowledge bases. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

What's New

Version 1.0.06 days ago

Imported from GitHub

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