GenAI Agents
ActiveDescription
GenAI Agents is a comprehensive collection of 50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Key Features
- 50+ runnable tutorials — complete tech stack from simple chatbots to complex multi-agent systems
- Multi-agent system implementations — full code examples for agent collaboration, task decomposition
- RAG technique integration — demonstrates multiple RAG application patterns in agents
- Agent memory techniques — conversation buffers, vector stores, knowledge graphs, semantic memory
- Jupyter Notebook format — each tutorial is an independent runnable and modifiable notebook
- Beginner to advanced — progressive learning path for developers of all levels
Use Cases
💡 Learning and understanding core GenAI agent architecture patterns
💡 Rapid prototyping of agent ideas using ready-made notebook templates
💡 Exploring different agent memory and RAG implementation approaches
💡 Reference implementations for building multi-agent collaboration systems
💡 Agent development training and team technical sharing
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (24.1k stars)
- • Responsive to issues, low backlog
⚠️ Limitations
- • No clear open-source license
Categories
Quick Start
git clone https://github.com/NirDiamant/GenAI_Agents.git
cd GenAI_Agents
pip install -r requirements.txt
# Run basic conversation agent tutorial
jupyter notebook "0_Basic Conversation Agent.ipynb"
# Run multi-agent system tutorial
jupyter notebook "Advanced Multi-Agent Systems.ipynb"