GenAI Agents: Comprehensive Repository for Development and Implementation 🚀

Welcome to one of the most extensive and dynamic collections of Generative AI (GenAI) agent tutorials and implementations available today. This repository serves as a comprehensive resource for learning, building, and sharing GenAI agents, ranging from simple conversational bots to complex, multi-agent systems.

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Introduction

Generative AI agents are at the forefront of artificial intelligence, revolutionizing the way we interact with and leverage AI technologies. This repository is designed to guide you through the development journey, from basic agent implementations to advanced, cutting-edge systems.

Our goal is to provide a valuable resource for everyone - from beginners taking their first steps in AI to seasoned practitioners pushing the boundaries of what's possible. By offering a range of examples from foundational to complex, we aim to facilitate learning, experimentation, and innovation in the rapidly evolving field of GenAI agents.

Furthermore, this repository serves as a platform for showcasing innovative agent creations. Whether you've developed a novel agent architecture or found an innovative application for existing techniques, we encourage you to share your work with the community.

Related Projects

🔍 RAG Techniques - 40+ notebooks on retrieval-augmented generation.

🚀 Agents Towards Production - code-first tutorials for shipping production-grade agents.

🖋️ Prompt Engineering Techniques - prompting strategies from basics to advanced.

🧠 Agent Memory Techniques - 30 notebooks on agent memory: vector stores, graphs, Mem0, Zep.

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Contributions make this better - propose ideas, share techniques, or give feedback via CONTRIBUTING.md.

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Key Features

• 🎓 Learn to build GenAI agents from beginner to advanced levels
• 🧠 Explore a wide range of agent architectures and applications
• 📚 Step-by-step tutorials and comprehensive documentation
• 🛠️ Practical, ready-to-use agent implementations
• 🌟 Regular updates with the latest advancements in GenAI
• 🤝 Share your own agent creations with the community

GenAI Agent Implementations

Below is a comprehensive overview of our GenAI agent implementations, organized by category and functionality. Each implementation is designed to showcase different aspects of AI agent development, from basic conversational agents to complex multi-agent systems.

#	Category	Agent Name	Framework	Key Features
1	🌱 Beginner	Simple Conversational Agent	LangChain/PydanticAI	Context-aware conversations, history management
2	🌱 Beginner	Simple Question Answering	LangChain	Query understanding, concise answers
3	🌱 Beginner	Simple Data Analysis	LangChain/PydanticAI	Dataset interpretation, natural language queries
4	🔧 Framework	Introduction to LangGraph	LangGraph	Modular AI workflows, state management
5	🔧 Framework	Model Context Protocol (MCP)	MCP	AI-external resource integration
6	🎓 Educational	ATLAS: Academic Task System	LangGraph	Multi-agent academic planning, note-taking
7	🎓 Educational	Scientific Paper Agent	LangGraph	Literature review automation
8	🎓 Educational	Chiron - Feynman Learning	LangGraph	Adaptive learning, checkpoint system
9	💼 Business	Customer Support Agent