GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques
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Decision brief
GenAI_Agents provides a deep dive into various Generative AI Agent techniques through 50+ detailed Jupyter Notebook tutorials and code implementations.
Good fit when
- You need extensive, practical guidance in creating a wide range of AI agents from basic conversational bots to complex systems.
- You are looking for open-source resources that cover both theoretical insights and real-world applications using Jupyter Notebooks.
Avoid when
- If your project requires only a shallow understanding of AI agents, as GenAI_Agents offers comprehensive and in-depth content which might be overwhelming for quick-start projects or beginners.
- You are focusing solely on the theoretical aspects without practical implementation. While GenAI_Agents provides tutorials, its core value lies in hands-on code implementations.
- Hosting:
- self hosted - Repository is self-hosted, allowing complete control over version history and access.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of 4d
- Provenance
- Not a fork · Personal account
- As of 4d
- Security (OSV)
- No MCP manifest
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Install
git clone https://github.com/NirDiamant/GenAI_AgentsHow it fits your stack(15)
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Overview
Repository contains extensive tutorials and code implementations covering a range of AI agent techniques from basic conversational bots to complex multi-agent systems.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Aug 17, 2026
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README
Getting Started
To begin exploring and building GenAI agents:
- Clone this repository:
git clone https://github.com/NirDiamant/GenAI_Agents.git - Navigate to the technique you're interested in:
cd all_agents_tutorials/technique-name - Follow the detailed implementation guide in each technique's notebook.
License
This project is licensed under a custom non-commercial license - see the LICENSE file for details.
📖 Go deeper on RAG: RAG Made Simple by the author of this repo (Amazon bestseller, ⭐ 4.6) · read Chapter 1 free.
⭐️ If you find this repository helpful, please consider giving it a star!
Keywords: GenAI, Generative AI, Agents, NLP, AI, Machine Learning, Natural Language Processing, LLM, Conversational AI, Task-Oriented AI
For agents
This page has a .md twin and JSON over the API.