> ## Documentation Index > Fetch the complete documentation index at: https://mintlify.com/Shubhamsaboo/awesome-llm-apps/llms.txt > Use this file to discover all available pages before exploring further. # Introduction > A curated collection of production-ready LLM applications with RAG, AI Agents, Multi-agent Teams, MCP, and Voice Agents

Awesome LLM Apps

A curated collection of 100+ production-ready LLM applications built with RAG, AI Agents, Multi-agent Teams, MCP, and Voice Agents using OpenAI, Anthropic, Gemini, and open-source models.

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Awesome LLM Apps

Quick start

Get started with Awesome LLM Apps in minutes. Clone the repo, navigate to your project, and run your first AI agent.

Clone the Awesome LLM Apps repository to your local machine: ```bash theme={null} git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git cd awesome-llm-apps ``` Navigate to any project directory. For example, to try the AI Travel Agent: ```bash theme={null} cd starter_ai_agents/ai_travel_agent ``` Browse the repository to explore 100+ different LLM applications across categories like starter agents, advanced agents, RAG tutorials, and multi-agent teams. Each project has its own `requirements.txt` file. Install the dependencies: ```bash theme={null} pip install -r requirements.txt ``` Most projects require API keys from providers like OpenAI, Anthropic, or Google. Set your API keys as environment variables: ```bash theme={null} export OPENAI_API_KEY='your-api-key-here' export ANTHROPIC_API_KEY='your-api-key-here' ``` Check each project's README for specific API key requirements and setup instructions. Most projects use Streamlit for the UI. Run the app: ```bash theme={null} streamlit run app.py ``` Your browser will automatically open to the application interface.

Explore by category

Discover LLM applications organized by use case and complexity level

Build intelligent agents from starter to advanced with specialized capabilities Implement retrieval-augmented generation with multiple strategies Coordinate specialized agents working together on complex tasks Create conversational agents with audio processing capabilities Integrate Model Context Protocol for enhanced agent capabilities Reusable modular capabilities following AgentSkills.io specification

Key features

Everything you need to build production-ready LLM applications

100+ Production-Ready Apps

Curated collection of working LLM applications you can run immediately

Multi-Provider Support

Works with OpenAI, Anthropic, Gemini, and open-source models

Advanced RAG Techniques

Agentic RAG, Corrective RAG, Knowledge Graphs, and more

Local & Cloud Options

Run models locally with Ollama or use cloud APIs

Framework Crash Courses

Learn Google ADK and OpenAI SDK with hands-on tutorials

Memory & Optimization

Advanced memory management and token optimization techniques

Popular examples

Start with these popular LLM applications

AI Travel Agent

Generate personalized travel itineraries with calendar export using GPT-4o

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Finance Agent Team

Multi-agent financial analysis with web search and YFinance integration

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Corrective RAG (CRAG)

Self-evaluating retrieval system with fallback strategies for accuracy

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Deep Research Agent

Conduct comprehensive research with citations and synthesis

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Ready to build with LLMs?

Explore 100+ production-ready examples and start building your own AI-powered applications today.

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