Langchain agents

An advanced AI chatbot implementation that combines the power of Groq's LLM with LangChain's tools for internet access, web searching, and conversation memory. This chatbot can search the internet, access Wikipedia, and maintain conversation context while providing informative responses.

Self bootstrapped general purpose coder AGI (the "G" is joke?).

This repository contains a project that allows users to analyze PDF files by extracting text from them and performing question-answering tasks

It shows how to use langchain for sagemaker endpoint.

A RAG application to search documents for homeopathic remedies based on patient's description of symptoms and modalities

Customer Support Bot using Langgraph

原神角色聊天ai，交流，支持以及存档 在线聊天 www.limaoyi.top:4400/

LLM Chatbot Web UI

Flan-t5 model fine tune LoRA and Langchain

Local chat with your local git based repository, built using Ollama, HuggingFaceEmbeddings, LangChain

Document research and theme identification application with multi-level citation capabilities.

LangChain application acting like a Game Master for a table top rpg of your choice.

Backend for Chat with PDF using OpenAI ChatGPT and Hugging Face Lang Chain

Chat over the git repository code built on LangChain, LangGraph, PGVector, FastApi, SqlAlchemy for frontend based on AI SDK

An Agentic RAG implementation using Langchain and a telegram client to send/receive messages from the chatbot

AI Travel Itinerary Planner is an AI-powered web application that generates personalized travel plans based on user input such as destination, budget, and trip duration. It uses LLM API integration and prompt chaining to create detailed day-by-day itineraries including sightseeing, food recommendations, and travel tips. ..

Multi agent system for demonstrating graph based collaborative multi-agent systems

LangChain Utilities for prompt generation from documents, URLs, and arbitrary files - streamlining your interactive workflow with LLMs!

Creating Agent Swarm using Open AI, Autogen and Langchain

Develop a Flipkart Product Recommender Chatbot using Retrieval-Augmented Generation (RAG) to provide accurate, context-aware product recommendations based on a specific dataset. The system leverages LangChain and LangGraph within a containerized microservices architecture for scalability and observability.

JavaScript for MultiMindSDK – bring advanced context transfer and multi-LLM orchestration, Node.js apps, and web tools

Foundational bootcamp on LLM usage (prompting & inference) → tooling & orchestration (LangChain, agents) → Retrieval-Augmented Generation (RAG) → advanced multi-tool/agent patterns.

Quick swarm orchestration with generalist agent and a sql agent (chief recipe)

AI Web Apps - Next.JS

Comparing vector-only RAG with GraphRAG (neo4j+milvus) for semantic and structural code search in JavaScript.

Python Streamlit web app utilizing LangChain and the OpenAI API GPT 3.5 Turbo language model to generate example movie concepts based on the AI director(Spike Lee, Quentin Tarrentino, Wes Anderson) and user input, and then the DALLE2 image generation model to generate relevent movie poster.

💵 Real-time financial intelligence for your codebase. Implemented via VS Code extension + Web Sandbox (Next.js, LangChain, Gemini, MongoDB)

프로그래머스 데브코스 수강생들을 위한 커뮤니티

The Missing sudo Command for AI Agents.

An intelligent web research and analysis tool powered by OpenAI GPT models and browser automation. Manus JS streamlines the process of gathering, analyzing, and synthesizing information from web sources.

Awesome list of AI agents 2026 — LangChain, CrewAI, AutoGPT, Claude, Cursor, Devin & 100+ more tools with stats, licenses & funding.

DevOps-AI

This repository contains practical examples and sample projects demonstrating how to use Moorcheh, a framework for building AI-powered chat applications.

AI powered ATS compatible resume generator

A production-style, agentic AI trading bot that combines LLM reasoning, sentiment analysis, market indicators, and broker APIs to make and (optionally) execute trading decisions.

Building a chatbot using Streamlit, LangChain, and SQLite

AI Travel Assistant is a powerful AI-powered tool that helps users plan their trips effortlessly. It integrates flight search, hotel booking, and sightseeing recommendations to generate a structured travel itinerary using LangChain, Apify, and OpenAI

An AI-based tool that automates market research survey generation and provides a simple UI using streamlit

A curated collection of production-ready agentic AI projects—showcasing automation, LLMs, and intelligent agents for real-world applications.

A comprehensive end-to-end tutorial series covering the complete lifecycle of building, deploying, and monitoring AI agents using modern GenAI frameworks.

Customer Support Chatbot that answer all your question about what your purchase. The Chatbot is build with Langchain, chromaDB, Groq, HuggingFace, Streamlit, and etc.

CogniVault is a modular, CLI-based multi-agent assistant designed to help you reflect, refine, and organize your thoughts

🥇 Raise Your Hack Paris - Concierge AI Travel Agent

In the deepest waters of the ocean, the orca navigates with intelligence, curiosity, and precision — the same spirit that guides every research journey.

A cloud-native RAG system for research paper analysis featuring structured PDF ingestion via LangExtract, high-speed Groq (Llama 3.3) inference, and Supabase vector storage.

Create agentic systems from scratch and monitor them using LangGraph studio

LinkedIn company profiles finder using LangChain Agents

Multi-agent medical assistant for medical Q&A, RAG, web retrieval, and medical image analysis with human review.

A Flask app running GraphRAG for healthcare, made with Vertex AI and Neo4j, to be deployed in a container (Cloud Run or ECS).

A multi-agent system for AI-driven market research, use case generation, and resource collection. It utilizes Langchain, Langgraph, Gradio and Tavily API to research industries, generate AI/ML use cases, and gather datasets and tools. This system helps organizations explore AI solutions and implement innovative strategies effectively.

This project is an innovative coffee shop application designed to bring an engaging and personalized experience to coffee lovers. The app leverages AI-powered agents for chat-based interactions and integrates modern web and mobile development techniques to provide seamless ordering and delivery services.

基于 LangGraph + LangChain + MCP 的政策文本深度分析工具，提供极致的用户交互体验。

QueryGenie.AI is a Generative AI tool to extract data from a database by using simple Natural Language. This tool takes question in the form of natural language and convert that into SQL query then it shows both SQL query and exact answer as output to the user.

xAgent is a mobile-first, multi-agent AI system powered by LLMs, featuring real-time chat, coding, and finance built with LangGraph workflows and MCP.

First learning project on Multi-Agentic RAG using Langchain and LangGraph. You could check it out on the link below 😁

Runtime control of LLM agent behaviors through activation steering vectors. More calibrated than prompting.

Capy Video Gen Skill: Multi-shot AI video generation with face identity consistency. 300 experiments, 70% improvement. Script-to-video and idea-to-video pipelines for HappyCapy AI Gateway.

本地中文小说创作 Agent (LangChain 1.0 + LangGraph)

Filesystem-based persistent memory for LLMs and AI agents -- unlimited context windows without lossy summarization

Full-stack LLM Engineering Lab. Features: Autonomous Agents (ReAct/AutoGPT) | Fine-Tuning Llama/Mistral (SFT/DPO) | Large Model Deployment (DeepSeek 671B / 2.5-bit) | Advanced RAG (Hybrid Search) | Function Calling (Stream/Text-to-SQL/External APIs) | Frameworks (LangChain, Semantic Kernel, OpenAI) | Daily SOTA Paper Tracking. From theory to 0-to-1

A chat bot for domain specific knowledge. Headless RAG for the enterprise. RAG as a service.

🐉 ThingsBrain 是基于 Dante Cloud 企业级能力构建的，一款兼容阿里云物联网平台标准、支持 MQTT 动态认证与 OAuth2.1 安全体系的高扩展性物联网平台。具备多协议、多存储可插拔架构，为万物互联与 AI 融合提供高可靠、高安全的一站式物联网应用基座。也是 Dante Cloud 全栈能力的最佳价值兑现应用场景。🔝🔝 点个star 持续关注更新！

ViGen is a desktop application powered by AI that enables users to generate videos from simple ideas or detailed scripts. It leverages Google's Gemini models for story and script generation, and Veo for video synthesis, wrapped in a modern PyQt6 interface.

deepagents-showcase is a hands-on project demonstrating how to build hierarchical, multi-step AI systems using LangChain’s Deep Agents. It showcases task decomposition, planning, sub-agent delegation, and long-running workflows in a practical, real-world setup.

LangGraph: Multi-Agent Supervisor Chatting with a User

A full-stack web application that automates the extraction of job postings from career websites and generates personalized cold emails using AI agents. Built with React frontend and FastAPI backend powered by CrewAI and LangChain.

Just LangChain for beginners tutorial in Persian.

Global quantitative stock analysis platform. Covers 35+ exchanges, provides technical indicators with automated risk management, and explains results in plain language using any LLM provider.

OpenGem 💎 - a minimalistic, all-local, fully containerized, open-source AI agent.

LangChain SQL Chatbot lets users query SQLite, PostgreSQL & MySQL with natural language using Streamlit, LangChain & Groq Llama3.

Lightweight prompt-injection detector built for AI agents, copilots, and LLM apps. Fast, local, calibrated.

Self-hosted Open source AI platform with RAG, TTS, fully offline

A comprehensive, end-to-end learning path for Retrieval-Augmented Generation — from core concepts and document processing to agentic RAG systems, evaluation, and production deployment.

Educational AI chatbot project for Aparsoft interns, built with Django 6+ & Next.js 16+. Learn RAG (Retrieval-Augmented Generation), LangChain/LangGraph, Celery, PostgreSQL with pgvector, and Redis. Complete Docker setup for easy development.

Autobots | A decentralized model agentic swarm powered by NVIDIA NIM. Orchestrating high-precision, end-to-end authenticated software development through a specialized 6-file control architecture. Features automated security auditing, non-redundant task routing, and autonomous state management.

An agentic AI system for conversational data analysis. Upload any CSV, query your data in natural language, and receive instant insights, auto-generated visualizations, and executable Python code — powered by LangChain, OpenAI/Gemini LLMs, Streamlit, and FastAPI.

Live-updating index of LLM agent frameworks shipping on GitHub, refreshed every 15 minutes

一个基于 LangChain + FastAPI 的扫地机器人领域智能客服 Agent，支持 RAG 知识库问答、多轮对话、JWT 认证与会话隔离、Redis 缓存与限流。适用于初学者自学RAG和Agent项目

Engineering infrastructure for opencode AI agents: memory, skills, subagent dispatch.

AI 기반 식재료 관리 서비스: 냉장고 재료 관리, 영수증 OCR, 레시피 추천, 장보기 목록, Google Calendar 알림 연동을 제공합니다.

"A Retrieval-Augmented Generation (RAG) chatbot built with LangChain, Streamlit, and FAISS, designed to answer questions accurately from custom documents (PDFs)"

Four formats. One engine. PDF, DOCX, XLSX, HTML → Markdown and typed JSON, 15–40× faster than equivalent-quality OSS. Rust core with strictly-typed Python bindings.

Transforms MCP tools into collaborative, reasoning agents using modern agent frameworks.

LangSmith tracing plugin for OpenClaw. Automatic observability for agent turns, tool calls, and LLM invocations.

AI Agent simplifies the implementation and use of generative AI with LangChain.

AI-powered chatbot built with Python, NLP, and Flask — automate customer support queries with intent recognition and dynamic responses.

In this we implements a Retrieval-Augmented Generation (RAG) based conversational AI agent designed for intelligent knowledge extraction from PDF documents. Leveraging LangChain and Google’s Gemini LLM

Python bindings for Cross-Language MCP Orchestrator, think of LangChain + Vercel AI kit but for MCP

Fully automated AI presentation system — pre-generates narration, fires live n8n demo workflows, and answers audience questions via voice Q&A. Zero manual input during the talk.

A collection of intelligent AI agents built using Ollama, LangChain, and local LLMs, including chatbots, voice assistants, web scrapers, document readers, and specialized tools. No API required. Fully autonomous and privacy-preserving.

Repository of AI assistant Slothy

Developer acceleration layer for enterprise RAG + agent pipelines. 32 production-style flagships on LangChain, LangGraph, CrewAI, Temporal, OpenAI Agents SDK, pydantic-ai. Permission-aware retrieval, chunk-level citations, schema-enforced output. Built on Model Context Protocol (MCP).

🚀 V1-MultiAgent: 开源多Agent协作框架技术文章与教程 | 从零构建生产级Multi-Agent系统

A RAG application feeding on board games running locally. Create a database with your favorite board game rulesets and query the RAG model to get answers to your questions!

LLMRoboFund is a powerful chatbot empowered with Multi-document RAG. The chatbot is equipped with RetrievalQA and SQL Agents to ease the investment research

基于 ChatGLM 等大语言模型与 Langchain 等应用框架实现，开源、可离线部署的 RAG 与 Agent 应用项目

AI-Powered Study Plan and Book Summarization is a powerful repository that combines two cutting-edge AI solutions: a personalized study plan generator and a hierarchical book summarization system.

This project combines two functionalities: a Code Interpreter using LLM Agent Orchestration and Tool Utilization, and a ReAct LangChain Agent example.ReAct agent using LangChain, integrated with a custom tool to calculate the length of a given text. It serves as a foundational example for building more complex, tool-augmented LLM applications.

This repository contains the code for the information extraction app that uses langchain to extract a structured output from unstructured data for a particular schema.