GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
- 24.7k estrellas
- 4.2k forks
- 27 issues abiertos
- Lenguaje: Jupyter Notebook
- Licencia: NOASSERTION
- actualizado
Instalación
git clone https://github.com/NirDiamant/GenAI_Agents && cp GenAI_Agents/*.md ~/.claude/agents/- Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
- Start a new Claude Code session to load the agents.
- Delegate work to them with the Task/Agent tool or by name.
Nota editorial
GenAI Agents is a collection of 52 Jupyter Notebook tutorials covering the construction of AI agents from single-purpose conversational bots up to coordinated multi-agent systems. Notebooks are organized by complexity and cover techniques including Retrieval-Augmented Generation, LangGraph-based orchestration, memory management, tool use, and agentic loops, with concrete examples such as an HR AI Assistant, an Art Tourguide built on LightRAG, a Contextual Quoting System, and a Gutenberg Sage literary agent. The repository is LLM-agnostic in framing but leans on OpenAI and LangChain throughout; Claude integration is not a stated focus, though the MCP topic tag signals awareness of that protocol. Developers and researchers learning to build production-adjacent agents are the primary audience, with beginner-friendly walkthroughs sitting alongside advanced multi-agent pipeline designs. A notable detail is that the author accompanies the code with a companion newsletter reaching over 50,000 subscribers and a related 400-page book on RAG, positioning the repository as the practical arm of a broader educational curriculum.
Resumen de Subagents
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.
📖 The companion book
AI Agents Made Simple - the decision guide to building agents that work: 28 chapters on what each pattern does, what breaks, what it costs, and when it is overkill. No code.
🏆 Sponsors
Recently added: Read vs Write: What One AI Answer Costs, Trace-Based Agent Evaluation, Human-in-the-Loop Approval Agent, Document Intake Agent, HR AI Assistant | 57 tutorials and growing
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The AI That Knows the Answer Before It Speaks [Jev Explained] a chatbot that is 100% sure and wrong, and the model that tells you when it isn't sure — run it 🚀Cutting-edgeUpdates 💡ExpertInsights 🎯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 on my books!*
🎬 Prefer video?
I break these ideas down into short, one-idea-per-episode explainers on YouTube.
🆕 Why AI Uses So Much Energy (It's Not the Thinking) a power meter on an AI: reading a whole story is cheap, writing the answer is where the energy goes — measure it on your machine
AI Agents Are Just While Loops. That's the Scary Part. the smallest real agent, the trap it builds for itself, and where a rule has to live — run it How LLMs Actually Work (and Why AI Makes Things Up) recalling a fact and inventing one are literally the same move Context Is the New Code the shift from writing the code to shaping what the model sees Stop Thinking Claude Code Is Magic. Here's How It Works what the agent loop is actually doing on every turn
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 my 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
🔍 RAG Techniques - 40+ notebooks on retrieval-augmented generation.
🚀 Agents Towards Production - code-first tutorials for shipping production-grade agents.
Lo que la gente pregunta sobre GenAI_Agents
¿Qué es NirDiamant/GenAI_Agents?
NirDiamant/GenAI_Agents es subagents para el ecosistema de Claude AI. 50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems. Tiene 24.7k estrellas en GitHub y su última actualización registrada es del 2026-10-22.
¿Cómo se instala GenAI_Agents?
Puedes instalar GenAI_Agents clonando el repositorio (https://github.com/NirDiamant/GenAI_Agents) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar NirDiamant/GenAI_Agents?
Nuestro agente de seguridad ha analizado NirDiamant/GenAI_Agents y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene NirDiamant/GenAI_Agents?
NirDiamant/GenAI_Agents es mantenido por NirDiamant. La última actividad registrada en GitHub es del 2026-10-22, con 27 issues abiertos.
¿Hay alternativas a GenAI_Agents?
Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
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