NirDiamant/GenAI_Agents

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

What it solves

This repository provides a comprehensive collection of tutorials and practical implementations for building Generative AI agents. It bridges the gap between basic conversational bots and complex, multi-agent systems, offering a structured path for developers to move from simple demos to production-ready AI software.

How it works

The project is organized as a library of notebooks and tutorials that demonstrate various agent architectures using popular frameworks like LangGraph, LangChain, PydanticAI, AutoGen, and OpenAI Swarm. It covers a wide spectrum of use cases, including:

  • Beginner agents: Simple conversational and data analysis bots.
  • Business agents: Customer support, contract analysis, and project management assistants.
  • Creative agents: GIF animation and music composition generators.
  • Analysis agents: Self-healing codebases, internet search, and multi-agent collaboration systems.
  • Specialized agents: News aggregation, shopping assistants, and task management tools.

Who it’s for

It is designed for a broad audience, ranging from AI beginners who are taking their first steps in agent development to seasoned practitioners looking for advanced architectures and real-world implementation patterns.

Highlights

  • Extensive Library: Over 55 tutorials covering a diverse range of agent types.
  • Framework Diversity: Implementations using LangGraph, LangChain, AutoGen, and OpenAI Swarm.
  • Production Focus: Guidance on moving from a prompt to a deployed product.
  • Broad Application: Examples spanning education, business, creative arts, and technical analysis.

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