Awesome Llm Apps
What is Awesome Llm Apps
Awesome LLM Apps is a comprehensive collection of practical examples, tutorials, and recipes for building powerful applications powered by Large Language Models (LLMs) using various frameworks and tools.
Use cases
Use cases include creating chatbots, developing AI-driven content generation tools, building intelligent virtual assistants, and implementing complex AI systems for specific industry applications.
How to use
To use Awesome LLM Apps, clone the repository from GitHub, navigate to the desired project directory, install the required dependencies using pip, and follow the project-specific instructions provided in each README.md file.
Key features
Key features include a wide range of practical examples, detailed setup instructions for various LLM applications, community contributions, and a focus on both beginner-friendly and advanced projects.
Where to use
Awesome LLM Apps can be used in various fields such as software development, artificial intelligence research, education, and any domain requiring natural language processing and AI-driven applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Awesome Llm Apps
Awesome LLM Apps is a comprehensive collection of practical examples, tutorials, and recipes for building powerful applications powered by Large Language Models (LLMs) using various frameworks and tools.
Use cases
Use cases include creating chatbots, developing AI-driven content generation tools, building intelligent virtual assistants, and implementing complex AI systems for specific industry applications.
How to use
To use Awesome LLM Apps, clone the repository from GitHub, navigate to the desired project directory, install the required dependencies using pip, and follow the project-specific instructions provided in each README.md file.
Key features
Key features include a wide range of practical examples, detailed setup instructions for various LLM applications, community contributions, and a focus on both beginner-friendly and advanced projects.
Where to use
Awesome LLM Apps can be used in various fields such as software development, artificial intelligence research, education, and any domain requiring natural language processing and AI-driven applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Awesome AI Apps
Powered by Nebius AI Studio - Your one-stop platform for building and deploying AI applications.
A comprehensive collection of practical examples, tutorials and recipes showcasing how to build powerful LLM-powered applications using various frameworks and tools.
From simple chatbots and MCP examples to advance AI Agents, this repository serves as your guide to building some cool AI applications.
🚀 Featured AI Agent Frameworks
🛠️ Featured Tools & APIs
🤖 Featured LLM Models
- Meta-Llama-3.1-8B-Instruct
- Meta-Llama-3.1-70B-Instruct
- Llama-3.3-70B-Instruct
- Llama-3.1-Nemotron-Ultra-253B
- Qwen/Qwen3-30B-A3B
📺 Playlist of Demo Videos & Tutorials
Getting Started
Prerequisites
- Python 3.10 or higher
- Git
- pip (Python package manager)
Installation Steps
-
Clone the repository
git clone https://github.com/Arindam200/awesome-ai-apps.git -
Navigate to the desired project directory
cd awesome-ai-apps/starter_ai_agents/agno_starter -
Install the required dependencies
pip install -r requirements.txt -
Follow project-specific instructions
- Each project has its own README.md with detailed setup and usage instructions
- Make sure to read the project-specific documentation before running the application
🤝 Contributing
We welcome contributions from the community! Whether you’re a beginner or an expert, your examples and tutorials can help others learn and grow. Here’s how you can contribute:
- Submit a Pull Request with your LLM application example
- Add detailed documentation and setup instructions
- Include requirements.txt or environment.yml
- Share your experience and best practices
📜 License
This repository is licensed under the MIT License. Feel free to use and modify the examples for your projects.
Thank You for the Support! 🙏
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
