LangConfig is a open-source visual workflow builder designed to make AI agent development accessible to everyone. Build, test, and share LangChain and LangGraph agent workflows with an intuitive drag-and-drop interface.

Playground for using (initially) langchain/langgraph for security testing.

An autonomous cybersecurity pipeline built with **LangGraph** and **LangChain** to simplify penetration testing. It breaks down tasks (e.g., "Scan google.com for ports"), enforces user-defined scopes, runs tools like `nmap`, and generates reports. Ideal for security audits with dynamic task management and failure handling.

in this project we have tested 4 frameworks (CrewAI, LangGraph, DSPy, LangChain)

Implement a graph based RAG (Retrieval Augment Generation) system using Langgraph and Langchain for a cybersecurity / penetration testing use-case.

A production-grade multi-agent system for intelligent root cause analysis of semiconductor test failures using LangGraph, LangChain, Neo4j, ChromaDB, and OpenAI GPT-4-o-OpenAI-GPT-4.

I used Langgraph and Langchain to automate the extraction of functional specifications of the application, making and running testcases and generating reports on the basis of the tests made.

A validation pipeline for agentic AI parser generation using LangChain and LangGraph framework in Python. Parsers are generated in C language and about 98% compilation rate and 76% testing rate were obtained. GenAI project for my Data Science Master thesis.

This repository is a structured learning hub for agentic AI systems and GenAI engineering. It includes notes, playground experiments, end-to-end projects, and production patterns covering LangChain, LangGraph, RAG, MCP tools, observability, testing/evals, and cloud integrations (Azure AI, AWS Bedrock, Databricks, vector DBs).

This first AI agent system is designed to tackle complex questions tested on real L1 GAIA benchmark achieving 20%. It uses LangChain for agent creation and LangGraph for workflow orchestration, supports interchangeable LLM backends (OpenRouter cloud models or local Ollama models via LiteLLM), and includes web search and code execution.

Langgraph and langchain test

No description available

Testing langgraph/langchain agentic ai

AI: Simple multiagents system

No description available

This is just a simple project to test and learn about langchain , langgraph and langsmith to onboard into AI developement

Testing langchain agent, Langgraph and CrewAI agent

Testing and learning LangGraph and LangChain´s features

test & learn LLM agents that based on LangGraph/LangChain

LangChain and LangGraph projects successfully implemented and tested locally.

Testing RAG using LangChain and LangGraph using Open Source components

Lab to test and learn about langchain, langgraph and langsmith

R&D repo to test different langGraph and langChain agents

An interactive tool for testing LangChain/LangGraph tools inside JupyterLab

This project is use for demo, test library from langchain, langgraph,..

a small repository for testing out things in langchain and langgraph

This repo is made to test it out DevOps AI (LangChain, LangSmith, LangGraph...)

Cypress Web AI-Powered Test Automation Framework Using JIRA + LangChain + Vector Store (Chroma) + LangGraph

AI-powered testing agent with multi-agent architecture using LangChain, LangGraph, and Langfuse for intelligent test generation and execution

graph based RAG (Retrieval Augment Generation) system using Langgraph and Langchain for a cybersecurity / penetration testing use-case.