langgraph and langchain-course

LangGraph is the core framework for building agent graphs, while the course is an educational resource that teaches how to implement various agent patterns using that framework—they are complements meant to be used together.

langgraph
86
Verified
langchain-course
64
Established
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 24/25
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 26,286
Forks: 4,544
Downloads:
Commits (30d): 130
Language: Python
License: MIT
Stars: 1,204
Forks: 2,226
Downloads:
Commits (30d): 1
Language:
License: Apache-2.0
No risk flags
No Package No Dependents

About langgraph

langchain-ai/langgraph

Build resilient language agents as graphs.

This tool helps developers create sophisticated, long-running AI assistants that can remember past interactions and handle complex, multi-step tasks. It takes raw code logic and structured data, producing robust AI agents capable of sustained operation and intelligent decision-making. Developers and AI engineers will use this to build advanced conversational agents, automated workflows, or intelligent systems.

AI Agent Development Conversational AI Automated Workflows Intelligent Systems Machine Learning Engineering

About langchain-course

emarco177/langchain-course

A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.

This course teaches you how to build advanced AI applications that can search information, answer questions based on documents, execute code, and even learn from their mistakes. You'll learn to create systems that take natural language prompts and produce well-reasoned outputs by integrating large language models with external tools and data sources. This is for software developers who want to specialize in building intelligent AI agents.

AI development LLM application engineering Generative AI agent systems software development

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