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 45 of 94
Docker-based sandbox backend for AI agents — safely execute code, read/write files, and manage containers in isolated environments.
An AI-Powered Review Platform That Gathers Information Through Conversations
Reactive, artifact-driven agent runtime: agents transform versioned, typed, provenance-aware artifacts inside an evolving context — no graphs to draw.
AI buddy that reviews your GitHub Pull Requests.
Paper Reading Agent Team 是一个基于多Agent协作架构的智能论文研读系统。它能够自动完成论文搜索、PDF下载解析、摘要生成、批判性分析、PPT生成等全流程任务,帮助研究人员快速理解和呈现学术论文内容。 系统采用模块化Agent设计,各Agent分工明确、协同工作:Scraper Agent负责论文搜索,Parser Agent负责PDF解析,Summarizer Agent负责摘要生成,Reviewer Agent负责批判分析,PPT Agent负责演示文稿生成,Memory Agent负责记忆存储。支持单篇论文研读和批量处理,可自动生成学术风格的汇报PPT。
The Text-to-SQL Agent is designed to to interact with databases using simple, conversational language, eliminating the need for manual query writing.
Tools for data extraction, QA and automation from the web with LLMs
AI chat app to response data in Markdown format with text and images. Tutorial from: https://youtu.be/qKtM2AlDTs8
This project uses the CrewAI framework to automate stock analysis, enabling AI agents to collaborate and execute complex tasks efficiently. Example stock: Nvidia. Technologies include Python, CrewAI, Unstructured, PyOWM, Tools, Wikipedia, yFinance, SEC-API, tiktoken, faiss-cpu, python-dotenv, langchain-community, langchain-core, and OpenAI.
Neuroplex is a cutting-edge AI Agent platform that combines FastAPI, Vue.js, an AI Engine, Neo4j, and Milvus to enable smart knowledge management and intelligent Q&A.
AI-powered desktop hub that connects chat, notifications, and productivity tools in one Electron app.
Intelligent data assistant powered by LangChain, supporting email management, scheduling, task tracking, and document processing with multi-agent orchestration
AI-native browser automation for OpenClaw, LangChain, and AI agents. Automate job applications, price monitoring, trading bots, web scraping. Puppeteer/Selenium alternative with 40+ capabilities.
Simple AI-agent Conversation Orchestrator
Autonomous AI agent framework for Python using OpenAI & LangChain — generates app descriptions, architecture outlines, UX flows & code from natural language objectives. Published on PyPI.
A speech-to-text chat agent with multiple tools. Utilizes Gemini, OpenAI, Wolfram|Alpha, openweathermap, and a few other APIs. Can manipulate files and web browsers. Currently working on implementing long-term memory via a neo4j graph database and allowing the user to feed additional data (knowledge) to that db via an obsidian knowledge graph.
Unlock the power of AI by building intelligent agents from scratch! This repository provides a step-by-step guide to creating custom agents that can reason, act, and solve real-world problems
🤖 An AI-powered DevOps agent implementing ReAct architecture to automate mobile release pipelines (Crash Check -> Perf -> Build -> Audit). Built with LangGraph & Ollama.
RAG-powered PDF QA system with self-reflection and multiple retrieval strategies (Stuff/Map Reduce/Refine). Includes monitoring via Langfuse & LangSmith and containerization with Docker
AI office agent
A local, private AI research agent using LangGraph and Ollama that autonomously utilizes web search and Wikipedia to provide structured, memory-aware answers to complex queries.
SmartEmailBot is an AI-powered solution that handles your email workflow. It automatically filters spam, summarizes important messages, drafts responses for your approval, and lets you compose new emails with simple commands.
A Query-Answer chatbot for PDFs using local Large language and Embeddings models. Please read this readme fully before using.
LLM-driven autonomous agent for automated spectral energy distribution (SED) modeling and interpretation of multi-band galaxy observations using CIGALE.
a basic proof-of-concept implementation of https://python.langchain.com/docs/use_cases/question_answering/
An autonomous coding agent that tells you the truth. Multi-agent LangGraph orchestrator with outcome-honesty invariants, trust ratchet, and baseline-aware merge gates.
Autonomous multi-agent AI research system
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
A self-hosted, uncensored AI companion built with Flask and LangChain. Private, fully customizable, and runs entirely on your own machine.
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
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.
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.
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