Framework
Langchain agents
8,582 Langchain AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
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Langchain agents — page 43 of 86
A graph-based failure modeling and deterministic detection system for LLM agent runtimes.
FactFlow, An AI-powered media ecosystem for fact verification, article generation, and press simulation.
AI-powered application that generates personalized 7-day diet and workout plans based on user inputs such as age, gender, fitness goals, dietary preferences, and lifestyle habits.
Lightweight persistent memory for AI agents. SQLite, zero mandatory dependencies, privacy controls (forget/TTL), full audit log. Drop into any agent in 3 lines.
Distributed systems reliability patterns applied to LLM agent workflows. NestJS, PostgreSQL, BullMQ, LangGraph, Python/FastAPI.
This is a custom-built AI chatbot using Streamlit and Google Gemini API (via Lang Chain), designed to provide real-time, human-like assistance about Yashfeen Skills Development Services (YSDS). Perfect for educational institutes looking to automate FAQs and course guidance with a friendly, AI-driven solution.
Chat with your Documents! OpenAI powered pdf-aware chat bot demo
A streamlit based chatbot for custom CSV data.
pingo智能体演示平台
This project will develop a NEPSE chatbot using an open-source LLM, incorporating sentence transformers, vector database and reranking.
Traffic Congestion Prediction on highways in Taiwan
A medical consultation chatbot using RAG and RAFT techniques on the Gemma 2 model, achieving high performance in the healthcare domain.
Este proyecto utiliza un ESP32 para monitorear las condiciones de una planta (humedad y temperatura) y transmite los datos a través de WiFi. Los datos se procesan y se utilizan para generar respuestas sarcásticas personificando la planta al combinar la electrónica y la API de OpenAI.
A Go toolbox for building powerful LLM based application
Implement RAG using LangChain and HuggingFace embedding models
Graphscribe is an intelligent, LLM-powered document understanding system designed to extract structured insights from complex visual content such as statistical diagrams, charts, and graphs.
AutoAdvisor is an AI-powered business strategy assistant that validates user-submitted business ideas, generates strategic reports using multi-agent reasoning, and delivers actionable insights including a SWOT analysis.
A powerful memory backend for LangGraph.js that provides short-term and long-term memory for your agents using flexible storage providers.
🧠 Synapse - Supercharge your AI coding assistants with memory, context, MCP tools, and intelligent routing. Works with Cline, Roo, Cursor, and any OpenAI-compatible tool. Just change the API endpoint and get superpowers! ✨
extracts text from pdfs and powerpoint documents and summarizes it into key points and bullet lists, uses LangChain and Google's Gemini.
AI Development Agent - Multi-Agent Software Development System A comprehensive multi-agent system that transforms project descriptions into complete, deployable applications using various AI technologies. Features configurable specialized agents working.
Parental-control Wi-Fi with GPT-5 quizzes. OpenWRT captive portal that unlocks internet only after learning tasks.
Multi-agent AI system using CrewAI and Flask that transforms rough ideas into production-ready LLM prompts through intelligent orchestration of specialized agents with local/cloud model support
🎙️ Voice-powered AI assistant using React, TypeScript & OpenAI GPT-3.5. Features real-time speech recognition via Web Speech API, instant AI responses, and responsive design. Built with React 19, TypeScript 5.8, Vite 6, OpenAI API.
Hands-on code and examples for Week 5 of the Ready Tensor Agentic AI Developer Certification Program – building agentic systems with LangGraph, custom tools, and multi-agent workflows.
OREMI TIMO is an intelligent insurance solution that automates data entry via OCR, assists users with a voice chatbot accessible to the visually impaired, and recommends reliable partners based on their location. It combines fluidity, accessibility and AI to simplify procedures and improve the user experience.
Local PDF Q&A with vector search + LLMs; LangChain powered Streamlit interface
Claude Code plugin for LangChain and LangGraph development. Skills, commands, and reviewer agents for building AI agents, RAG pipelines, and LCEL chains.
Updated version of OmniBot
LLM RAG Project for Food Content Information Chatbot
A production-quality demo of agentic AI systems — LangGraph multi-agent orchestration, browser automation, Slack integration, and LangSmith observability
Make direct questions to multiple github repositories at the same time with AI.
The Tutor microservice is responsible for creating learning materials and manage user interactions
Make multiple Collections on Qdrant with Langchain & Openai
Generating data analysis and EDA reports from CSV files using Generative AI - Langchain, Llama, Groq.
Understanding and implementing RAGs using langchain on LLMs from scratch using APIs.
Repositório criado para armazenar os códigos, atividades e desafios do curso de Python da Asimov Academy
A bridge between Fllama (llama.cpp for Flutter) and Langchain for Dart.
Store Your Documents and chat with them using AI-powered chat all in one place.
This AI customer support agent uses LangGraph and LangChain for query categorization, sentiment analysis, and smart escalation. Integrated with Groq's LLaMA 3.3 70B model, it streamlines workflows and ensures high-quality, consistent interactions.
Backtester AI Agent for Equities
Finarva is a robust backend platform built with NestJS, designed to empower financial agents in delivering personalized and scalable financial services to microentrepreneurs. The system offers secure user authentication, comprehensive client management, and the creation of tailored investment plans—including options such as small-cap and large-cap
Mental health support chatbot built with Google's T5-Large, fine-tuned on established psychological practices to deliver empathetic, research-backed guidance.
StudyBuddy is an open source, RAG-based AI assistant that lets you query, summarize, and interact with your documents—built as a developer-friendly alternative to Google NotebookLM.
Praison is a production-ready framework for building multi-agent AI systems that enables intelligent agents to collaborate, reason, self-reflect, and use tools to automate tasks, with support for over 100 LLMs and flexible workflows for both code and no-code usage.
An experimental framework for building collaborative coding agents that design and implement software through structured debate and consensus.
A full-stack Retrieval-Augmented Generation (RAG) application that enables intelligent document querying and answer generation. Upload PDFs, build semantic search indexes, and get AI-powered answers grounded in your documents.
Production RAG chatbot serving 3,232 Q&As with <3s latency and ~95% accuracy using LangChain and ChromaDB
A FastAPI RAG pipeline that ingests PDF files, makes embeddings and stores them in a Vector Store (Postgres + pgvector database), then when a query is made performs a similarity search and builds the context to pass to the LLM to generate accurate bibliography-backed answers to the questions using langchain.
🏠 GenAI Training Path para QA Engineers — caso de uso PropIA (plataforma inmobiliaria colombiana). Embeddings + ChromaDB, RAG conversacional, agentes ReAct, análisis de contratos con LLMs y evaluación con Precision@K, Recall, MRR y F1. Stack: TypeScript · Anthropic · LangChain.
LLM judgment control layer for drift, memory loss, hallucination, and cost optimization.
一款AI驱动的本地文件分类工具,支持文档解析、多级自动分类和自然语言搜索,适合学生和职场人士管理大量文件 ( An AI-powered local file classification tool that supports document parsing, multi-level auto-categorization, and natural language search, ideal for students and office workers managing large volumes of files)
Backend chatbot server for SIH
LLM Agent with LangGraph and Docker for executing the agent's code in a containerized environment.
A simple Agent compatible for avalai.ir api
A Streamlit-based Retrieval-Augmented Generation (RAG) application using DeepSeek, FAISS, and LangChain to answer natural language questions from uploaded PDF documents.
Easy Diagram AI is an AI-powered diagramming tool that allows users to create, edit, and manage mermaid.js diagrams through an intuitive interface. The application combines a React frontend with a Flask backend and leverages Anthropic Claude AI to enable natural language diagram modifications.
Universal schema-based runtime for prompts, skills, and AI composition. Framework-independent, portable, and enterprise-ready.
Claude Code 중심 로컬 전용 LLM Wiki — 3층 격리 + Neo4j GraphRAG + Obsidian. Karpathy LLM Wiki 원전부터 GraphRAG PoC 까지 11가지 관련 내용 통합. /install 한 줄 셋업, 8 Skills + 5 Hooks + 4 Routines.
About ChatWithDB: Transforming databases into conversational partners using LLMs and Django Rest Framework API. Accepts user input, finds similar database entries, and crafts human-like responses from LLMs. Supports multiple databases.
Automate code reviews with AI Code Review Assistant.
Implement LangChain RAG to chat with PDF with more accuracy.
Retrieval-Augmented Generation (RAG) system over a code repository for a question-answering task
PipelineAgentService is a large language model (LLM)-based application designed for the automated management of data processing tasks.
A simple Python-based chatbot service using FastAPI, LangChain for embeddings, and PostgreSQL with pgvector for storage.
This project is an Ecommerce Chatbot developed to enhance customer interaction and assist with product recommendations, order queries, and FAQs. The chatbot is built using Python and Flask, integrated with LangChain for natural language processing (NLP), and Astra DB as a vector store for storing and retrieving product-related data.
Este projeto é um chatbot construído com Streamlit e LangChain, que utiliza a técnica de RAG (Retrieval-Augmented Generation) para responder perguntas baseadas em arquivos PDF enviados pelo usuário.
ad-astrAI - multi agent AI tool for detecting elements and molecules from spectral and image data from galaxies far far away.
Stop indexing noise. Turn messy websites and PDFs into clean, structured data for RAG pipelines with semantic importance scoring and token optimization.
Production-grade Recursive Language Model (RLM) agent — gives an LLM a sandboxed Python REPL, sub-LLM recursion, vector search, grep, and divide-and-conquer tools to reason over ingested PDFs. Built with FastAPI, LangChain, Qdrant, and OpenRouter.
Python SDK + MCP Server + LangChain Tools for Oasyce — on-chain AI agent economy. pip install oasyce-sdk[mcp]
ACMI — the open protocol for agent memory. Three keys: Profile / Signals / Timeline. Redis/Upstash-native, MCP-ready, multi-agent fleet coordination.
springboot案例 security milvus langchain spring-ai
This is a demo project showing how to build a simple AI powered "Chat with RSS"
Yet another implementation of task-driven autonomous agents
Microsoft AI Classroom Hackathon 2023 Submission
This project demonstrates how to extract structured information from PDF documents using a combination of Langchain, OpenAI models, and the DocLing library. It provides a framework for parsing PDFs and leveraging LLMs to identify and format key data points.
唐诗三百首RAG检索增强生成
This tool is a web application that utilizes Streamlit and OpenAI language models to enable users to interact with website content through a conversational interface. Users can enter the URL of their desired website, pose their questions, and receive precise and relevant answers.
Convert natural language to shell commands directly in your terminal.
Aspect Based Sentiment Analysis (ABSA) of Customer Reviews
AI project on Healthcare emergencies demand immediate and precise intervention. This is quick, accurate and guidance critical in saving lives. This project focuses on AI-powered system specifically designed for healthcare emergencies, enabling efficient, real-time responses through both voice and video calls.
Este projeto foi desenvolvido para oferecer uma introdução prática e acessível ao desenvolvimento de agentes inteligentes utilizando o framework LangChain
A Python-based documentation assistant that uses local LLMs to crawl websites, process content, and provide intelligent Q&A capabilities with source citations.
This project contains the code and documentation for an autonomous AI agent that classifies, enriches, and scores inbound business leads. It is built with a FastAPI backend, a LangGraph agent workflow powered by a local Ollama LLM, and a Streamlit frontend for demonstration.
IntelliShelf, a full-stack AI-powered demo platform that combines Computer Vision, LLMs, and RAG to deliver a futuristic musical instrument e-commerce experience. From automated defect detection to LLM-generated descriptions and FAQ-based chatbot assistance, everything is built with modularity and scalability in mind.
Offline AI for emergencies with local context and cited answers from community Knowledge Packs.
Agentic personal medical assistant that reasons over medical data using multi-agent orchestration, with leveraging mutiple ML/DL pre-trained models, with addition to relational and vector databases.
Stop AI agents from confidently using stale facts. MemGuard validates memories in Mem0, Zep, Letta & LangMem against reality — trust scores, quarantine, tamper-proof audit trail, MCP tools. Like Datadog for agent memory.
Blazy is an AI assistant to learn about any markdown documentation through a question-answer interface. Blazy-build is the API exposing the model.
论文自动化分析工具
Experience seamless document comprehension with 'Online PDF Summarizer App,' featuring the advanced LaMini-Flan-T5-248M model, Langchain, and Streamlit. Effortlessly distill business PDFs, transforming lengthy content into concise summaries for enhanced productivity and insightful decision-making
Give a short description and create an entire scenario!
A comprehensive library for Retrieval-Augmented Generation (RAG), featuring both basic and advanced RAG implementations. Built with LangChain for sophisticated RAG pipelines and LlamaIndex for a lightweight, simple RAG setup. Ideal for developers exploring knowledge retrieval and augmentation with LLMs. 🚀
Flint is a GitHub repository dedicated to facilitating job searches in Southeast Asia. However, not all job postings meet quality standards, leading to frustration and uncertainty for job seekers. Recognizing these challenges, Glints steps in to alleviate the complexities of job hunting.
Script leveraging RAG (Retrieval-Augmented Generation) for Question Answering tasks.
Stock Analysis Tool Agent