Framework
Langchain agents
9,311 Langchain AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
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Langchain agents — page 23 of 94
This AI-powered tool extracts Subject-Predicate-Object (SPO) triplets from unstructured text using LLMs, performs entity standardization and relationship inference, and generates interactive, community-detected knowledge graphs with rich visualizations.
Benchmarking RAG and agentic systems in Go vs Python
This is a sample app that demonstrates how to create a simple chat bot using Teams Toolkit and LangChain.
Example how to construct knowledge graph from document with LLM (Langchain), and use it with CosmosDB/Neo4j
A powerful app that uses AI to provide human-readable explanations for your terminal errors.
LangReact 是一个配置化的 Planning Agent 应用开发工具,通过配置、插件,能快速为你的 GPT 应用提供 Planning 功能。
Build a RAG preprocessing pipeline
"Ask your question about the new framework agreement between Switzerland and the EU." Answers are neutral, factual, and exclusively based on official treaty texts – no opinions, interpretations, or speculation.
AIChainComposer is a tool to quickly and easily compose complex LLM chains. A sophisticated wrapper around core LangChain functionality, AIChainComposer allows for the generation of complex multi-layer LLM chains without ever touching any LangChain code.
A LLM Agent capable of fixing bug by himself from a Javascript Error
A basic Text2SQL App, powered by Langchain and OpenAI.
It is a chatbot based on LangChain.
This is a repository to let you know the implementation of a basic RAG pipeline using LangChain in Supabase Edge Functions.
AI小说创作系统 - 基于多Agent协作的智能小说创作平台,支持世界观管理、角色管理、大纲管理和一致性保障
A Document-based QA Chatbot with LangChain, Chroma and NestJS
Stop writing Terraform by hand. A multi-agent framework that researches, generates, validates, and commits production-ready AWS infrastructure modules through conversation.
NeuralCache is a drop-in reranker for Retrieval-Augmented Generation (RAG) that learns which context the model actually uses.
一个基于自定义知识库的实用型电子产品AI问答与推荐系统,使用Python FastAPI后端和Vue.js前端。
Part of the LangChain.NET project. Has separate abstractions, does not contain dependencies on the main project and can be used independently
Multi-agent RAG system using AutoGen for document-focused tasks in medical education, leveraging LangChain, ChromaDB, and OpenAI embeddings.
PallmaAI delivers complete, lifecycle security for your AI agents, from proactive red teaming to real-time threat detection and automated remediation.
Autonomous multi-agent pipelines from YAML. Any LLM. Zero boilerplate.
AgentForensics is an open-source security framework that monitors complete LLM agent sessions in real time, detecting prompt injection attacks across tool outputs, web pages, documents, and API responses. It uses heuristic rules, a DistilBERT ML classifier, instruction boundary detection, semantic drift, and sliding-window multi-turn detection.
AI apps development in LangChain & LangGraph - tutorial notebooks
Production-ready Chainlit RAG application with Pinecone pipeline offering all Groq and OpenAI Models, to chat with your documents.
Elevate your health journey with our Diet & Workout Recommendation System on Google Gemini Pro! Personalized suggestions based on age, sex, height, weight, region, dietary preferences, allergies, and health conditions. Optimize your well-being effortlessly!
This project automates posting tweets on Twitter about AI news articles. The bot scrapes AI news articles, generates tweets, creates related images, and posts the tweets. The process is repeated periodically to ensure the latest AI news is posted.
WikiRag is a Retrieval-Augmented Generation (RAG) system designed for question answering, it reduces hallucination thanks to the RAG architecture. It leverages Wikipedia content as a knowledge base.
Entirely Local AI Voice Assistant - Created using LangChain, Ollama, Whisper, Speech Recognition, and Sapi5
DomainMind: Enhance Local LLMs with RAG DomainMind integrates Retrieval-Augmented Generation (RAG) with local Large Language Models (LLMs) to answer domain-specific questions using a custom knowledgebase. It ensures privacy by running entirely offline and adapts LLMs to specialized fields like scientific research.
In this end to end project I have built a RAG app using ObjectBox Vector Databse and LangChain. With Objectbox you can do OnDevice AI, without the data ever needing to leave the device.
AI-powered CLI tool to identify and automatically unsubscribe from marketing emails in Gmail using LLMs (Gemini, Claude, OpenAI) and browser automation
Query latest medicinal suggestions and your basic queries in interactive way.
RLM-powered CV tailoring for job applications.
ToolOps is a framework-agnostic middleware SDK that treats every tool call as a first-class operation. By wrapping your tools in a single decorator, you instantly upgrade them with industrial-grade caching, resilience, and observability.
This repository demonstrates the use of CrewAI to enhance sales outreach and lead profiling using a combination of advanced AI agents and tools. The project leverages CrewAI agents and LangChain to identify high-value leads and craft personalized outreach campaigns.
An AI-powered chatbot that answers student questions using university PDFs with the help of Google's Gemini API and RAG (Retrieval-Augmented Generation) architecture.
ESG Report Analysis and Greenwashing Detection is an interactive application that enables the analysis of ESG reports to identify signs of greenwashing. Based on predefined criteria, the tool assigns a risk score and offers an interactive search system through an intelligent chat (RAG).
DentalDesk: An open-source AI dental assistant and chatbot for dental practices. Built with Python and LangChain, it automates appointment scheduling and patient communication on WhatsApp.
Simple, practical AI agent testing in TypeScript
The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human-in-the-Loop training.
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.
🚀 Comprehensive LangGraph learning repository with hands-on examples, and practical implementations. Master stateful multi-agent applications, RAG systems, SQL agents, custom tools, and debugging techniques. From basics to advanced workflows with real-world examples.
FastAPI-based boilerplate for building LangGraph-powered agents with streaming, observability, and modularity in mind.
A sample project for RAG with Node.js
加密货币 AI 自动交易与回测系统 · LangGraph 多代理辩论 + 硬性风控 + 决策日志 | AI-powered crypto trading & backtest with LangGraph multi-agent debate, hard risk controls, and Decision Journal
Full-stack AI agent on LangChain / LangGraph & Next.js — chat, RAG knowledge bases.
Building AI Agents and Workflows with LangGraph
A PDF Question-Answering App built with RAG (Retrieval-Augmented Generation), allowing users to upload PDFs and ask context-based questions. Powered by Streamlit, LangChain, Ollama, and Chroma for efficient and accurate answers.
FloatChat AI is a conversational AI platform for ARGO Ocean Data Discovery and Visualization, providing accurate and interactive tools to explore oceanographic data. Built with Python, LangChain, Pandas, and machine learning models, it makes complex ocean data accessible and actionable for researchers and enthusiasts.
LangGraph integration for Azure Functions Python v2 — deploy compiled graphs as HTTP endpoints
A LangGraph-based multi-agent job assistant for job search, resume analysis, cover letter generation, company research, and Q&A.
🚀 企业级多智能体编排与 ChatBI 数据洞察平台。支持多 Agent 协作、RAG 知识增强、物理数据源直连与安全沙箱执行、Redis 长期记忆引擎,并集成多模态 EmbedChat 挂件与全方位 Token 消耗审计看板。
PallmaAI delivers complete, lifecycle security for your AI agents, from proactive red teaming to real-time threat detection and automated remediation.
Build a Agentic AI application using LangGraph, LangChain, FastAPI, Redis, and ElasticSearch. In this course, we create a multi-model AI agent with document ingestion, search, memory, and agent workflows from scratch.
Read-only LangChain tools for RustChain — let any AI agent query the hardware-attested agent economy (Proof-of-Antiquity). pip install langchain-rustchain
LangChain VectorStore for MySQL 9's native VECTOR type — RAG on ShannonBase, self-hosted MySQL, or HeatWave. No separate vector DB needed.
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#.
Cyclomatic complexity, but for LLM prompts. Static analysis that finds the business logic hidden in your prompts, scores it, and gates it in CI. Python, TypeScript, JavaScript, PHP.
Local-first memory for AI agents: one SQLite file, zero deps. Recency-aware exact recall, conflict detection, time-travel journal, MCP server.
多模型协作与智能辩论平台 — Multi-Agent 并行工作流 + RAG + 知识图谱,让多个 AI 像专家团队一样辩论、推理、共创
This Repo shows how to integrate LangChain, Open AI and store embeddings in the MongoDB Atlas and run a similarity search using MongoDB Vector Search.
迹录 Tracord ——基于本地小模型多智能体的智能旅行规划助手 / AI travel planner with local SLM multi-agents — light up visited cities on a map, log expenses with one sentence, and generate executable day-by-day itineraries from plain language.
DentalDesk: An open-source AI dental assistant and chatbot for dental practices. Built with Python and LangChain, it automates appointment scheduling and patient communication on WhatsApp.
Elevate your health journey with our Diet & Workout Recommendation System on Google Gemini Pro! Personalized suggestions based on age, sex, height, weight, region, dietary preferences, allergies, and health conditions. Optimize your well-being effortlessly!
Stop writing Terraform by hand. A multi-agent framework that researches, generates, validates, and commits production-ready AWS infrastructure modules through conversation.
Tweak your LaTeX resumes and cover-letters with AI Agents !
A lightweight AI agent which reads and summarizes research papers for you.
Knowledge-Sharing Hub using RAG Q&A techniques with LLMs (Llama2 and ChatGPT)
Ollama RAG using SQL Database
Extension of LLM Advisory for Backtrader strategies, enabling real-time trading insights from multiple LLM-based advisors directly within strategy execution.
Use AI to ensure your resume passes ATS keyword screening.
Self-hosted personal assistant on top of LLMs in minutes with built-in Home Assistant integration and great extensibility and customizability.
AI developer that generates LangChain Expression Language code
LLM-driven software development helper.
LINE Bot using FastAPI, LangChain and OpenAI's GPT-3.5 model and multiple tools for different functions like weather data, travel POIs, tickets, experiences, and product data.
Custom tools for LangChain
rag base on langchain
An AI project to provide `private` chat and RAG service. 一个提供私有化检索增强生成的AI项目
Template for Retreival-Augmented Generation (RAG) application using Milvus for vector storage, LangGraph for ReAct agentic workflows, and Streamlit for a front end. Runs locally on Ollama with a pipeline to ingest markdown documentation.
A Chat with AI
This is a Generative AI bot fine tuned to become a Professional resume writer. It used Meta's LlaMA 2 LLM with langchain. System Prompt has been changed in order to change profile of AI.
Langchain-Nextjs-OpenAI-WebSockets: Natural Language UI Control with OpenAI Functions
LLM Applications built using Streamlit, LangChain, and OpenAI API
🤖 vscode AI extension assistant
AI-powered Django-Chat is an innovative chat application that combines the robustness of Django with cutting-edge language models with seamless integration of real-time communication and artificial intelligence, providing users with an intelligent conversational experience.
🎧 A music recommendation system
LangChain-Kuzu integration
An LLM Agent allowing users to ask natural language questions and get answers about SEC fillings of their choice companies as well as find out real-time stock prices to aid decision making | using LangChain🦜🔗 | OpenAI | Streamlit ⚡| Kay
👑🦜 Learn the complete LangChain tech stack with this follow-along tutorial series.
Generate customized cover letters using your resume and job listings
A web automation agent driven by annotated browser screenshots and language model predictions
This chatbot is designed to provide fashion product recommendations using data from Flipkart's catalog.
chat with your documents (pdf) by leveraging the power of gemini pro
This repository, 300Days_GenerativeAI, is dedicated to 300 days of continuous learning focused on generative AI, studying different books and research papers daily. I'll revisit past learnings, update my understanding, and dive deeper into generative AI's intricacies.
Learn LangChain for Genearative AI with OpenAI API using Python
Template for the Solana AI Agents Course on https://akademia.tokenomia.pro/course/solana-ai-agents offered by Tokenomia.pro
A full-stack application that allows practitioners to record voice notes and also export them to Google Docs/Sheets.
Fun project to run your own LLM chat bot using llama.cpp
Applying LLMs, augmented with information retrieval (RAG) and function calling, to a variety of tasks in different domains.