This repository offers a comprehensive collection of tutorials and implementations for Generative AI (GenAI) agents, targeting developers and researchers from beginner to advanced levels. It aims to demystify the creation of intelligent, interactive AI systems, providing practical examples and step-by-step guidance for building diverse agent architectures.

How It Works

The project heavily utilizes LangGraph, a framework for building stateful, multi-agent applications as graphs. This approach allows for modularity, explicit state management, and the orchestration of complex workflows involving multiple specialized agents. Implementations often leverage LangChain for agent components and integrate with various LLMs and external tools, enabling sophisticated capabilities like context-aware conversations, data analysis, and automated task execution.

Quick Start & Requirements

• Install: Clone the repository (git clone https://github.com/NirDiamant/GenAI_Agents.git) and navigate to specific technique directories.
• Prerequisites: Python, and specific libraries as detailed in individual technique notebooks (e.g., LangChain, LangGraph, OpenAI API keys, potentially others like Playwright, CrewAI, AutoGen).
• Resources: Setup time and resource requirements vary by technique; some may require API keys or specific Python versions.
• Links: Official Documentation (via README structure), Discord Community

Highlighted Details

• Extensive library of 45+ agent implementations categorized by function (Beginner, Business, Creative, Analysis, News, Shopping, Task Management, QA, Advanced).
• Demonstrates advanced concepts like multi-agent collaboration, self-improving agents, and controllable RAG.
• Includes practical applications such as automated essay grading, travel planning, contract analysis, and end-to-end testing.
• Features educational agents like ATLAS for academic support and Chiron for Feynman-style learning.

Maintenance & Community

The project is actively maintained by Nir Diamant and encourages community contributions. A Discord server is available for discussions and collaboration.

Licensing & Compatibility

The project is released under a custom non-commercial license. This restricts commercial use and linking within proprietary, closed-source applications.

Limitations & Caveats

The non-commercial license is a significant restriction for many potential users. While extensive, the sheer number of techniques means some may be in earlier stages of development or have specific dependencies that require careful setup.