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Arindam200/awesome-ai-apps: A collection of projects showcasing RAG, agents, workflows, and other AI use cases

Arindam200/awesome-ai-apps: A collection of projects showcasing RAG, agents, workflows, and other AI use cases

9 hours ago

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Awesome AI Apps Awesome</a>

Arindam200%2Fawesome-ai-apps | Trendshift

This repository is a comprehensive collection of 132 projects, tutorials, and recipes for building powerful LLM-powered applications, including text agents, voice assistants, RAG apps, and MCP-backed tools. These projects serve as a guide for developers working with various AI frameworks and stacks.

📋 Table of Contents

- 🧩 Starter Agents - 🪶 Simple Agents - 🎙️ Voice Agents - 🗂️ MCP Agents - 🧠 Memory Agents - 📚 RAG Applications - 🔬 Advanced Agents - 🧬 Fine-Tuning

💎 Sponsors

A huge thank you to our sponsors for their generous support!

Bright Data - Web Data Platform
Web Data Platform
Visit Bright Data website
Nebius Token Factory
AI Inference Provider
Visit Nebius Token Factory
ScrapeGraphAI - Web Scraping Library
AI Web Scraping framework
View ScrapeGraphAI on GitHub
Memori - SQL Native Memory for AI
SQL Native Memory for AI
Visit Memorilabs website
CopilotKit - Agentic Application Platform
Agentic Application Platform
Visit CopilotKit website
ScaleKit - Auth Stack for AI
Auth Stack for AI
Visit ScaleKit website
Okahu - AI Platform
AI Observability Platform
Visit Okahu website
AgentField - Kubernetes for AI Agents
Kubernetes for AI Agents
Visit AgentField website
Byteful
Byteful
Visit Byteful website

💎 Become a Sponsor

Interested in sponsoring this project? Feel free to reach out!
Email


🚀 Featured AI Apps

🧩 Starter Agents

Quick-start agents for learning and extending different AI frameworks. _21 projects_

🪶 Simple Agents

Straightforward, practical use-cases for everyday AI applications. _19 projects_

🎙️ Voice Agents

Real-time voice assistants and streaming speech pipelines — including LiveKit, Pipecat, Gradium, and VoxCode (Deepgram + Cursor SDK). _9 projects_

🗂️ MCP Agents

Examples using Model Context Protocol for external tool integration. _14 projects_

🧠 Memory Agents

Agents with advanced memory capabilities for context retention and personalization. _13 projects_

📚 RAG Applications

Retrieval-augmented generation examples for document understanding and knowledge bases. _18 projects_

🔬 Advanced Agents

Complex multi-agent pipelines for production-ready end-to-end workflows. _35 projects_

🧬 Fine-Tuning

End-to-end examples of fine-tuning open-source LLMs, from data prep to deployment. _6 projects_

📺 Tutorials & Videos

🎓 Course Playlists

🔧 Framework Tutorials


📥 Stay Updated with Daily AI Insight!

Get easy-to-follow weekly tutorials and deep dives on AI, LLMs, and agent frameworks. Perfect for developers who want to learn, build, and stay ahead with new tech. Subscribe our Newsletter!

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Getting Started

Prerequisites

  • Python 3.10+ (Python 3.11+ recommended for newer projects)
  • Git for cloning the repository
  • Package Manager: pip or uv (recommended for faster installs)
  • API Keys: Most projects require API keys (see individual project READMEs)

Quick Start

  1. Clone the repository
git clone https://github.com/Arindam200/awesome-ai-apps.git
   cd awesome-ai-apps
  1. Choose a project and navigate to its directory
cd starter_ai_agents/agno_starter  # Example: Start with Agno starter
  1. Set up environment variables
cp .env.example .env  # Copy example environment file
   # Edit .env with your API keys
  1. Install dependencies
# Using pip
   pip install -r requirements.txt

# OR using uv (recommended - faster) uv sync # or uv pip install -e .

  1. Run the project
python main.py
   # or for Streamlit apps
   streamlit run app.py

🤝 Contributing

We welcome contributions from the community! Here's how you can help:

Before contributing:
  • Read our Contributing Guidelines for detailed information
  • Check existing issues to avoid duplicates
  • Follow the project structure and naming conventions
  • Ensure your project includes a comprehensive README.md
Important: This project follows a Contributor Code of Conduct. By participating, you agree to abide by its terms.

📜 License

This repository is licensed under the MIT License. Feel free to use and modify the examples for your projects.

👥 Core Maintainers

This project is actively maintained by:

Arindam Majumder     Shivay Lamba     Astrodevil

Arindam Majumder  ·  Shivay Lamba  ·  Amitesh Anand

For any questions, suggestions, or contributions, feel free to reach out to the maintainers.

Thank You for the Support! 🙏

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