NirDiamant/GenAI_Agents resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

23996 stars · 4028 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of 50+ Jupyter notebook tutorials and reference implementations for Generative AI agent techniques, spanning simple conversational bots to complex multi-agent systems. It is an educational resource built with LangChain, LangGraph, and related LLM tooling rather than a production library.

Use cases

• learn how to build ai agents from scratch
• tutorials for multi-agent systems in python
• examples of langgraph agent workflows
• understand rag and agent design patterns
• study implementations of autonomous agents with llms
• find reference code for tool-using chatbots

When to choose

• you want hands-on, notebook-based learning of agent techniques from basics to advanced multi-agent patterns
• you need reference implementations to adapt when prototyping your own agents
• you are exploring LangChain, LangGraph, RAG, and MCP concepts with worked examples

When to avoid

• you need a production-ready agent framework or SDK to ship as a dependency
• you want a maintained application rather than educational notebooks
• you require a permissive license - the repository has no standard license (NOASSERTION)

Facets

learning-resource · maturity active

agent-framework rag prompt-engineering chatbot mcp artificial-intelligence large-language-models tutorials python jupyter-notebooks multi-agent-systems langchain langgraph educational generative-ai ai-agents retrieval-augmented-generation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="NirDiamant/GenAI_Agents")