#langgraph repositories

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents a...

The agent engineering platform

Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-eq...

Demo of a customer service agent (Cymbal Air) using LangGraph, Tools, and RAG to interact with Google Cloud Databases via MCP Toolbox.

📚“langent”由“lang”与“agent”合并而来的学习教程

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph base...

🔥 AI-powered deep research tool that breaks down complex queries, validates answers, and provides cited comprehensive results using Firecrawl an...

Customer Support Bot using Langgraph

An adaptive multi-agent system that extracts your literary DNA through conversation and generates actionable reading profiles.

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehen...

Build resilient language agents as graphs.

🦜🔗 Docs for LangChain projects

Python SDK that enables developers to build and deploy LangGraph agents to the UiPath Cloud Platform

🦜💬 Web app for interacting with any LangGraph agent (PY & TS) via a chat interface.

LangGraph template for a simple ReAct agent

New LangGraph Project ![CI](https://github.com/langchain-ai/new-langgraph-project/actions/workflo

For your multi-agent needs

LangChain 🔌 MCP

LangGraph Studio Data Enrichment Template ![CI](https://github.com/langchain-ai/data-enrichment-js/a

LangGraph Retrieval Agent Template

LangGraph Retrieval Chat Bot Template ![CI](https://github.com/langchain-ai/retrieval-agent-te

LangGraph Studio template for creating an agent that does web research to genearte or enrich structured data.

Crawl any website with Tavily, embed the content, and deploy the RAG on MongoDB Atlas vector search.

LangGraph Typescript Agents Notebooks: email, human in the loop, memory