langgraph and LangGraph-learn
The official LangGraph framework and its community learning resource are ecosystem siblings, where one is the production orchestration engine and the other is an educational companion designed to help developers understand and learn the framework's graph-based agent patterns.
About langgraph
langchain-ai/langgraph
Build resilient language agents as graphs.
Supports durable execution with automatic state persistence across failures, human-in-the-loop interrupts for agent inspection/modification, and comprehensive memory management combining short-term working state with long-term persistence. Built as a low-level orchestration framework inspired by Pregel and Apache Beam, it integrates seamlessly with LangChain ecosystem tools including LangSmith for observability and LangSmith Deployments for production scaling of stateful workflows.
About LangGraph-learn
LangGraph-GUI/LangGraph-learn
learning resource of langgraph for dummy
Provides hands-on examples demonstrating LangGraph workflow construction integrated with LangChain, local language models (ChatOllama), and vector databases (ChromaDB). Uses Python 3.11 with core dependencies including langgraph, langchain-core, and langchain-community to build reproducible AI pipeline patterns. Designed as a companion resource for understanding the LangGraph-GUI backend architecture through practical, community-contributed tutorials.
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