---
title: "GenAI_Agents"
type: "tool"
slug: "nirdiamant-genai-agents"
canonical_url: "https://www.graphcanon.com/tools/nirdiamant-genai-agents"
github_url: "https://github.com/NirDiamant/GenAI_Agents"
homepage_url: null
stars: 23029
forks: 3865
primary_language: "Jupyter Notebook"
license: "Other"
categories: ["ai-agents"]
tags: ["genai", "agents", "llm", "generative-ai", "agentic-ai", "autonomous-agents", "langchain", "ai-agents"]
updated_at: "2026-07-07T18:25:14.945428+00:00"
---
# GenAI_Agents
> Comprehensive tutorials and implementations for GenAI agents
The GenAI Agents repository offers over 50 detailed guides and Jupyter Notebook implementations, covering a spectrum of generative AI agent development from simple bots to complex multi-agent systems. Ideal for both beginners looking to grasp the fundamentals and experts aiming to refine their techniques in prompt-to-production workflows.
## Facts
- Repository: https://github.com/NirDiamant/GenAI_Agents
- Stars: 23,029 · Forks: 3,865 · Open issues: 8 · Watchers: 270
- Primary language: Jupyter Notebook
- License: Other
- Last pushed: 2026-07-04T12:53:21+00:00
## Categories
- [AI Agents](/categories/ai-agents.md)
## Tags
genai, agents, llm, generative-ai, agentic-ai, autonomous-agents, langchain, ai-agents
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## README (excerpt)
```text
# 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.
## 🎓 From demo agent to deployed product
**[Prompt to Production](https://europe-west1-rag-techniques-views-tracker.cloudfunctions.net/rag-techniques-tracker?notebook=genai-agents--readme&click=course-waitlist-cta&target=https%3A%2F%2Fdiamant-ai.com%2Fcourses%3Futm_source%3Dgithub%26utm_medium%3Dreadme%26utm_campaign%3Dgenai-agents&retarget=0&text=course-waitlist-cta)** - my full course on building software with AI the way professionals do: the methods and paradigms behind reliable, efficient, modular production systems, taught systematically. 16 lectures, each with a hands-on lab, from your first structured prompt to a working production system.
**[Join the waiting list →](https://europe-west1-rag-techniques-views-tracker.cloudfunctions.net/rag-techniques-tracker?notebook=genai-agents--readme&click=course-waitlist-cta&target=https%3A%2F%2Fdiamant-ai.com%2Fcourses%3Futm_source%3Dgithub%26utm_medium%3Dreadme%26utm_campaign%3Dgenai-agents&retarget=0&text=course-waitlist-cta)** · everyone on the list locks in the founding price, lower than public launch
## 🏆 Sponsors
> **Recently added:** Document Intake Agent, HR AI Assistant, Art Tourguide with LightRAG, Contextual Quoting System, ML/DS Assistant | **53 tutorials** and growing
## 📫 Stay Updated!
🚀
Cutting-edge
Updates |
💡
Expert
Insights |
🎯
Top 0.1%
Content |
*Join over 50,000 AI enthusiasts getting unique cutting-edge insights and free tutorials!* ***Plus, subscribers get exclusive early access and special 33% discounts to my book and the upcoming RAG Techniques course!***
## 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.
📚 Learn to Build Your First AI Agent
Your First AI Agent: Simpler Than You Think
This detailed blog post complements the repository by providing a complete A-Z walkthrough with in-depth explanations of core concepts, step-by-step implementation, and the theory behind AI agents. It's designed to be incredibly simple to follow while covering everything you need to know to build your first working agent from scratch.
💡 Plus: Subscribe to the newsletter for exclusive early access to tutorials and special discounts on upcoming courses and books!
|
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
```
---
**Machine-readable endpoints**
- JSON: [`/api/graphcanon/tools/nirdiamant-genai-agents`](/api/graphcanon/tools/nirdiamant-genai-agents)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)
_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_