> ## Documentation Index
> Fetch the complete documentation index at: https://pavan-c90e8846.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Awesome AI Apps: 80+ LLM Application Examples

> Awesome AI Apps is a curated collection of 80+ practical examples for building LLM-powered applications using popular AI frameworks and tools.

Awesome AI Apps is a comprehensive collection of more than 80 practical examples, tutorials, and recipes for building powerful LLM-powered applications. These projects cover text agents, voice assistants, RAG pipelines, and MCP-backed tools, and are designed to guide developers working with modern AI frameworks such as LangChain, Agno, CrewAI, OpenAI SDK, and more.

Whether you are exploring AI frameworks for the first time or building production-ready agent pipelines, this collection offers reusable templates and real-world implementations to jumpstart your work.

## What You Will Find Here

The collection is organized into focused categories. Each category contains runnable projects with README files, environment setup instructions, and clear code examples.

<CardGroup cols={3}>
  <Card title="Starter Agents" icon="rocket" href="/awesome-ai-apps/starter-agents">
    19 quick-start projects covering Agno, OpenAI, LlamaIndex, CrewAI, LangChain, LangGraph, and more.
  </Card>

  <Card title="Voice Agents" icon="microphone" href="/awesome-ai-apps/voice-agents">
    7 real-time voice assistant and streaming speech pipelines.
  </Card>

  <Card title="RAG Apps" icon="book" href="/awesome-ai-apps/rag-apps">
    12 retriever-augmented generation projects for document understanding.
  </Card>

  <Card title="MCP Agents" icon="plug" href="/awesome-ai-apps/mcp-agents">
    13 Model Context Protocol examples for tool integration.
  </Card>

  <Card title="Memory Agents" icon="brain" href="/awesome-ai-apps/memory-agents">
    12 agents with advanced memory and context retention.
  </Card>

  <Card title="Advanced Agents" icon="flask" href="/awesome-ai-apps/advanced-agents">
    20 complex multi-agent pipelines for production workflows.
  </Card>
</CardGroup>

## Who This Collection Is For

This project is built for:

* Developers who want hands-on experience with AI frameworks.
* Teams building prototypes or proof-of-concepts that need a solid starting template.
* ML engineers looking for real-world RAG, memory, and multi-agent patterns.
* Anyone who learns best by reading and running real, working code.

## Next Steps

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/awesome-ai-apps/quickstart">
    Clone the repo, set up your environment, and run your first AI app.
  </Card>

  <Card title="Starter Agents" icon="puzzle" href="/awesome-ai-apps/starter-agents">
    Browse 19 projects to explore different AI frameworks.
  </Card>
</CardGroup>


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