langgraph-course and agentic_langgraph

langgraph-course
61
Established
agentic_langgraph
21
Experimental
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 0/25
Maturity 11/25
Community 0/25
Stars: 497
Forks: 234
Downloads: —
Commits (30d): 0
Language: —
License: Apache-2.0
Stars: —
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
No Package No Dependents

About langgraph-course

emarco177/langgraph-course

Hands-on LangGraph course repo for building production-grade LLM agents with Agentic RAG, ReAct, and reflection workflows.

This repository is a hands-on guide for developers looking to build sophisticated AI agents. It provides practical code examples for creating applications that can understand queries, search for information, and refine their responses, similar to advanced chatbots or automated research assistants. Developers would use this to learn how to combine large language models with external tools and self-correction mechanisms to create more robust AI solutions.

AI development LLM application building agentic AI natural language processing software engineering

About agentic_langgraph

maltsev-dev/agentic_langgraph

Practical LangGraph experiments: stateful workflows, RAG systems, memory, MCP, and multi-agent architectures.

Related comparisons

langgraph-course and agentic_ai_lab langgraph-course and LangGraph langgraph-course and agentic_ai_lab

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