LangGraph template for a simple ReAct agent
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Updated
Dec 2, 2025 - Python
LangGraph template for a simple ReAct agent
This is the official companion repository for the book The Complete LangGraph Blueprint: Build 50+ AI Agents for Business Success. The repository provides source code, practical examples, and resources to help you build dynamic AI agents using LangGraph, a cutting-edge graph-based framework for artificial intelligence workflows.
A production-ready, scalable multi-agent system built with LangGraph, featuring specialized agents for different tasks with best coding practices.
A LangGraph template for building AI agents with human-in-the-loop, conditional routing, observability (Langfuse), and a Reflex UI demonstrated through a travel planner use case.
Chat over the git repository code built on LangChain, LangGraph, PGVector, FastApi, SqlAlchemy for frontend based on AI SDK
🚀LangGraph Deployment Kit is a framework for deploying, and running LangGraph-based AI agents as backend services, with built-in support for real-time streaming, analytics via Langfuse, and seamless integration with React frontends using the agent-react-hook npm package.
Provides and manages the standards of the Act (AX Template).
A quick and simple example for build RAG using LangChain related tools
**NoticeAI** is an AI agent built using **LangChain** and **LangGraph** to process incoming emails from regulatory bodies, such as safety violations or compliance notices, and extract critical information.
🤖 Streamline your FastAPI apps with this Python SDK, enabling seamless integration with Vercel AI for real-time AI responses.
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