Framework
Langchain agents
8,582 Langchain AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
8,582 agents · ranked by popularity · refine in the directory →
Langchain agents — page 24 of 86
Clinical Rag AI
Offline AI assistant - chat with your documents locally. No cloud, no API key, no data leaks. Built with Python + FastAPI + Ollama + LangChain.
Production-ready agentic AI framework. High-performance, lightweight, simple. Built-in safety, memory, and 4 reasoning patterns. Ships to production fast.
A lightweight, enterprise-ready multi-agent orchestration framework for the .NET ecosystem. Build autonomous AI agents, equip them with tools, and orchestrate complex RAG workflows in C#.
Production-shaped boilerplate for AI agent web apps: Rust/Axum API, Python LangChain + Celery workers, Vue 3 SPA. Hexagonal architecture, TDD, JWT + refresh rotation, reliable job lifecycle with retries, rate limiting, structured logs, Docker & CI/CD
The coordination layer for Multiplayer AI
Local-first memory for AI agents: one SQLite file, zero deps. Recency-aware exact recall, conflict detection, time-travel journal, MCP server.
SYNAPSE is an AI-powered social intelligence and trading agent built on the Solana blockchain. It blends meme generation, real-time market sentiment, decentralized trading, and adaptive personality via DeepSeek, GPT-4, Claude, and Groq to engage users and automate decisions.
Local AI Agent x Decentralized Notes x Decentralized Messaging
Livro aberto sobre AI Agents para Pessoas Engenheiras de Software focado em Python, LangChain e LangGraph, ChromaDB, SQLite, RAG, Chain of Thought, LLM, privacidade e segurança com modelos locais com Ollama e remotos com OpenAI e Gemini.
Python SDK to verify agent tool calls, API responses, and MCP handoffs before bad outputs propagate.
🚀 LangFlow - AI-Powered Security Automation Platform
Inomera R&D - Telecom Team - Tech Radar
A LLM agent capable of writing an API documentation and functional tests from a file containing the entrypoints code.
VirtuTA is an AI teaching assistant that delivers quick, accurate responses to student queries directly on Piazza. Powered by agentic workflows, Google Gemini, and Langchain, it automates both conceptual and logistical course queries.
Terraform-Based Bedrock RAG Deployment
ChatTube: A Retrieval QA System to Youtube Videos
IPAgent - Patent Landscape Analysis Chatbot
Simple Generative AI enabled Streamlit web application that converts speech to-image.
A writing assistant using Langchain
A tutorial on Knowledge Graphs discussing how to model the employee competences within a company
This is a course on how to to program with Large Language Models.
This a Python AI Assistant made by using langgraph and langchain. The assistant is capable of handling programming tasks in python.
✨ AI-powered code analysis. Analyse your code and unlock its potential.
first attempt at creating and deploying rag based systems using langchain + ollama + streamlit
🦉 Utilities to improve LLMs capabilities when working with SPARQL endpoints and RDF knowledge graphs, compatible with LangChain
Using LangGraph Builder and Studio to build amazing Agentic Systems
A simple NextJS app that streams Langserve (python) streamings on NextJS frontend, using a hook to make it clean on components, and api call to hide backend apis and calls.
Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon MemoryDB for Redis
Docsifer is a powerful tool for converting various data formats into Markdown for applications such as indexing, text analysis, and more. It supports PDF, PowerPoint, Word, Excel, Images, Audio, HTML, and other text-based formats, and leverages LLMs to enhance performance.
Welcome to the LLAMA LangChain Demo repository! This project showcases how to utilize the LangChain framework and Replicate to run a Language Model (LLM). The code in this repository replicates a chat-like interaction using a pre-trained LLM model.
ChatGPT can solve Jeopardy! clues really well!
Showcase using Langchain in a React Native application
Generate an optimal path on a map a la Traveling Salesman Problem to hit different landmarks in an input city using Cloudflare Workers AI (using LlaMA-3.1), LangChain (for prompt templates and comma separated list output parser), Mapbox to create a map and get information about cities and landmarks in those cities, and Folium to edit the map.
This is a project that uses the LangChain library and OpenAI's ChatGPT API to perform data analysis on a dataset. Disclaimer: This project was made before OpenAI released Code Interpreter on ChatGPT Plus. With similar functions.
An AI NFT marketplace is a digital platform where NFTs (Non-Fungible Tokens) are created, bought, and sold — but with AI (Artificial Intelligence) integrated to enhance the process.
an LLM based application for HR process optimization
A meticulously curated collection of hands-on Jupyter notebooks, designed to illuminate the comprehensive application of MLflow across a spectrum ranging from foundational Machine Learning principles to pioneering Generative AI paradigms.
🪼 AI chatbot for the DeFiChain ecosystem.
Marat ("muh-RAH") is a data analysis and visualization tool using a NextJS flowchart-style frontend to visualize and coordinate data analysis through Python-based Langgraph agents
An AI-powered quote generator bot that posts beautiful quotes to various social media platforms!
使用 LangChain 把 PDF 生成音频播客
AI Assistant to get summarized text from Youtube video and also get instant answers to your queries related to video
RAG Course using LangChain and OpenAI
Learn how to build AI-infused applications with Quarkus
UltraCodeAI is an innovative AI-powered IntelliJ plugin that transforms coding with seamless assistance. It supports local/cloud LLMs like Ollama, OpenAI, and Groq for context-aware prompts, auto code error analysis, and RAG-enhanced insights. Features includes tabbed UI for chat, diagnostics, and recommendations; hover explanations; design pattern
🦜🔗 LangChain Model Context Protocol (MCP) Client
Projet issu du codelab Devoxx France 2025 “À la recherche du RAG perdu” : atelier de 3h pour apprendre à créer un chatbot IA Générative autonome, local et sans Internet, basé uniquement sur des frameworks open source
An elegant article writer assistant that creates (almost) ready for posting articles providing main ideas from the user, built with langchain
langchain agent，chatglm，neo4j实现movie qa。
Multi-Modal Next.js Chat App with Vercel AI SDK & LangGraph.js
Biq Query + langchain REST API written in python
This is a test version of the agent_toolkit in langchain. Please do not use it in production.
Easily build and operate generative AI applications. Create Assistants API and GPTs based on any LLMs.
Javascript RAG Chatbot with Langchain, OpenAI and Supabase vector store.
AI YouTube Video Chat application, to ask questions to a YouTube video bot and get answers.
Inquiry videos with ChatGPT
A chatbot created with Next.js and AI SDK, using Langchain with RetrievalQA to provide information from a PDF loaded into a vector store in MongoDB.
This project combines Azure AI Search, Azure OpenAI Service, LangChain, React.JS, and Python FastAPI to create an intelligent system for managing Jira issues. It features advanced AI search for seamless document retrieval, a user-friendly React.JS front-end, and a robust Python FastAPI back-end.
Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon DocumentDB (with MongoDB Compatibility)
Developed a web app using LLM models, Langchain, and chatbots for PDF interactions. Users upload PDFs and ask questions, receiving instant chatbot responses for efficient content retrieval.
Say goodbye to endless Google searches and hello to our clever chatbot, the ultimate Wikipedia companion for all your Q&A needs.
This project aims to provide an efficient and scalable API for embedding and storing vectors, leveraging the power of FastAPI, Langchain framework and a vector database such as Chroma.
Built with Gemini API, LangChain, Chainlit, and Python, this multimodal assistant explores AI tool integration driven by curiosity about multimodal capabilities. It demonstrates modern AI development by combining cutting-edge multimodal AI with practical user interface design.
LangChain Text Summarization and Image Generation
SFEIR School Langchain
Implementation of Reflective RAG, Self-RAG & Adaptive RAG tailored towards production-oriented applications with LangGraph and OpenAI API
This project is Genratve AI and AI-powered content generation tool that leverages Hugging Face's models to create customized content based on user queries. The application is built using Streamlit and provides an interactive UI for generating content tailored to different age groups and task types.
Notebooks demonstrating vector search & RAG design patterns with Redis Python clients.
此存储库展示了用于检索增强生成（RAG）系统的各种先进技术。RAG 系统将信息检索与生成模型相结合，以提供准确且上下文丰富的响应。
This project aims at giving the best customer service ever using the power of LLM models like GPT.
use 🦜️🔗 to communicate with varied files & web
Sync your team's data to your LLM applications in real-time
Enhance your CLI with AI - Using Langchain Framework & OpenAI Functions Agent
This project demonstrates how GenAI can potentially be leveraged in financial and investment advisory services to provide personalized and tailored recommendations and strategies.
A small interactive game with an LLM that generate (not random ;) ) events and actions that you need to follow in order to win !
Hybrid Knowledge Agentic RAG System
Virtual-Assistant LLAMA2/OpenAI with specific knowledge (RAG) in gradio UI.
Scrapes headlines from CNN and FOX, then has ChatGPT do cross-analysis
This is a simple lab I have implemented to test Knowledge Augmented or Retrieval Augmented Generation (RAG) with Large Language Models. In particular, I am using LangChain, Streamlit, and OpenAI ChatGPT API.
Langchain 🦜 running🏃♀️ on express including file reader and history management
A set of AI tools to automate resume scoring and generate interview questions.
Use OpenAI and LangChain to automatically visualize tabular data.
A dynamic learning assistant designed to simplify the onboarding and training process for new hires. Users can upload documents or enter URLs for training materials. Built with Spring Boot, @Langchain4j and spring-ai
Runtime kill-switch for autonomous AI agents. Regime-aware Bayesian governor, NL policy compiler, adversarial red-team simulator. AGPL + commercial.
An AI-powered branding assistant that generates brand name, slogan, and concept visuals from a simple description.
🦜️🔗📺 A langchain summarizer for YouTube videos.
Legal Research Assistant streamlines legal research with LangChain, Neo4j, and Google Generative AI. It aids legal professionals in case law research, statute lookup, legal analysis, and document drafting, combining graph-based retrieval with natural language understanding for precise insights.
Open Source OpenTelemetry-native Observability tool for GenAI and LLMs designed to provide developers with complete capabilities for monitoring, analysing, and optimising LLM applications.
A roadmap to AI Engineering excellence: Masterclass in Generative AI, RAG, and Agentic Systems with a focus on scalable and production-ready architectures. 🚀🤖
Nautobot AI Plugin - Large Language Models (LLM), Model Context Protocol (MCP), Middleware and Dynamic Prompts powered by Langchain Ecosystem.
Retrieval Augmented Generation (RAG) engine for intelligent document analysis. integrating LLM, embeddings, and vector database to extract, summarize, and query insights from multi-format documents.
A modern LangChain tutorial. v0.2 based
FastAPI-based boilerplate for building LangGraph-powered agents with streaming, observability, and modularity in mind.
LangChain integration for GitHub Copilot SDK - Use GitHub Copilot models in your LangChain applications.
《OpenAI, 구글 Gemini, 업스테이지 Solar API를 활용한 실전 LLM 앱 개발》(2025년 1월 출간) 실습 코드
Pharmaceutical Insight Retrieval System designed to help users gain meaningful insights from research papers and documents in the pharmaceutical domain.
Improved RAG retrieval by adding context to the chunks and performing Hybrid Search (Vector Semantic Search + BM25 Keyword Search) and Reranking.
4 chatbots with memory made with Langchain, VertexAI and Gemini, as a cyber challenge to capture and expose RAG content.
An advanced, fully local, and GPU-accelerated RAG pipeline. Features a sophisticated LLM-based preprocessing engine, state-of-the-art Parent Document Retriever with RAG Fusion, and a modular, Hydra-configurable architecture. Built with LangChain, Ollama, and ChromaDB for 100% private, high-performance document Q&A.