Langchain agents

A tool-augmented agent (LangChain, RAG) that functions as a hyper-personalization engine. It autonomously creates adaptive travel itineraries by integrating 5+ real-time APIs for complex, multi-step problem-solving.

Interactive NBA Analytics app with Streamlit and a LangChain conversational agent connected to extracted data. Explore player, team, and game stats, track injuries, run simulations, visualize trends, and get AI-powered insights. Ongoing development, open to collaboration.

Build Your AI Agent with LangGraph from Zero to Hero - Course Material

The most comprehensive collection of AI tools, frameworks, and resources for developers. 110+ verified open-source projects across 16 categories.

Wayfare – your smart travel planner. Easily organize and optimize trips. Manage itineraries, map destinations, and make every journey unforgettable. ✈️🌍 🚀 **Plan smarter. Travel better.**

Distributed systems for automated proposal generation. Orchestrates LLM agents for requirement extraction, semantic inventory matching, and competitive pricing analysis

A starting point for building custom agentic LLM applications using Open Source tooling and models. Incorporates Ollama, Open WebUI, Langchain, Streamlit, Chroma, & PGVector using Docker and Docker Compose and optionally Codespaces.

Agentic Telegram bot for Home Front Command security alerts — LangGraph, 4 LangChain tools, wartime deployment

An agent that Knows You, Remembers You, and Understands You

Multi-agent modular workflow system to perform in-depth research on any prompt.

Agentic RAG Chatbot using Python, Pinecone Hybrid Search, Ollama (Llama 3), Redis, and Flask. Features modular architecture and stateless scalability.

ScrumFlow.ai eliminates the structural collapse of alignment that happens the moment a meeting ends. It automatically converts sprint conversations into decisions, tasks, risks, and commitments, without manual effort, removing the rework and confusion that bleeds velocity across every sprint.

An intelligent MySQL AI Agent system that translates natural language into SQL queries and provides insightful responses — powered by Streamlit, LangChain, Gemini, and MySQL.

M5 StamPLC MCP Server Integration w/ n8n Agentic AI workflow

Mission Control for multi-agent AI systems. Real-time orchestration, live metrics, and complete visibility. Built with LangGraph, FastAPI, and Next.js.

AI-Web-Reader-Chatbot-Extension is a smart Chrome extension that lets you interact with any webpage using AI. It scrapes and analyzes the content of the current website and answers your questions in real time. Powered by advanced language models, it delivers accurate and concise answers based only on the page content.

langchain-moorcheh is a Python package that enables seamless integration between LangChain and Moorcheh.

⚡ Interactive AI assistant that transforms YouTube videos into a chat experience using RAG (Retrieval-Augmented Generation). Built with Streamlit, LangChain, and Gemini API.

A 𝐩𝐫𝐢𝐯𝐚𝐜𝐲-𝐟𝐢𝐫𝐬𝐭 𝐑𝐀𝐆 𝐀𝐈 𝐚𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐟𝐨𝐫 𝐖𝐨𝐫𝐝𝐏𝐫𝐞𝐬𝐬

ReelPrompt – AI-Powered Script Generator for Instagram Reels.

An AI-powered chatbot aimed to deliver accurate and contextually relevant responses by combining the strengths of pre-trained language models with specialized agents

Chatbot educativo con IA local (Ollama + RAG) para asistencia académica universitaria. Sistema completo con autenticación, historial de sesiones, dashboard de métricas y diagnósticos de rendimiento..

AI assistant backend for document-based question answering using RAG (LangChain, OpenAI, FastAPI, ChromaDB). Features modular architecture, multi-tool agents, conversational memory, semantic search, PDF/Docx/Markdown processing, and production-ready deployment with Docker.

🚀 Harness AI with the Claude Code Kit to simplify your development process and enhance your projects efficiently. Join the community on Discord.

Many minds, one insight! Research Agent built with LangGraph and Anthropic.

Python SDK for email & SMS in AI agents. Give your agent an inbox in 4 lines. LangChain, CrewAI, OpenAI Agents SDK, Claude — powered by Commune.

A powerful AI-powered tool to analyze, optimize, and transform your code into high-performance, quality software.

An AI-powered research assistant that leverages Retrieval-Augmented Generation (RAG) to provide accurate responses to user queries by retrieving relevant documents and reasoning through complex questions.

Helpy – A RAG-powered chatbot for Alliance HPC clusters. Supports OpenAI, Groq, Claude, Gemini, Ollama, and vector search via RAGFlow. Flask + LangChain + WebSocket.

Capability-aware TypeScript client for any UCP-compliant server — gives AI agents only the tools their connected server supports

The AI engineering platform for AI teams. Observability, evaluation, and prompt management for LLMs and AI agents. OpenTelemetry native.

⛨ redactum — automated PII & secret redaction for AI, APIs, and developer tools. Protects prompts, logs, and payloads before they leave your system. Lightweight and TypeScript-first.

Simple AI agent RAG chatbot based on Python, Ollama, Langchain, Gradio. Included tools: real time weather, calculate, local documents RAG, local SQL database .

Built real-world LLM apps using LangChain, including an AI Code Tutor, CV Assistant, and smart chatbots powered by RAG and agentic workflows. Hands-on projects showcasing practical use of Generative AI.

Dune themed RAG based LLM ChatBot | Using Ollama, DeepSeek, Neo4J and LangChain

Hands-on workshop to learn how to implement context engineering with Java, LangChain4J, and Redis

RAG component visualizer. Visualize text parsing, splitting/chunking and retrieval results.

Multi-source RAG assistant — chat with PDFs, research YouTube channels, explore GitHub repos, discuss research papers. LangChain + Chroma db + PIneCone + HuggingFace. Live on HuggingFace Spaces.

A ChatGPT-powered QA system using OpenAI, LangChain, FastAPI, and a vector database. It retrieves answers based on stored data, enhancing responses with relevant source links. The project enables efficient knowledge retrieval, making it ideal for AI-driven chat applications that require accurate and reference-backed responses.

AI-powered workflow tool for Slack and Jira integration

🤖 RAGbot – a RAG chatbot ✨ featuring a React frontend with 📝 Markdown rendering & ➗ LaTeX support, 🐍 Python FastAPI backend, 🔍 FAISS vector database for semantic search, 🧠 Sentence Transformers embeddings (all-MiniLM-L6-v2), 🦙 LongCat LLM integration, 📄 PDF/Markdown document indexing, and 🎨 responsive dark mode UI!

My implementation for a kaggle competition: https://www.kaggle.com/competitions/WattBot2025

UniBot is a chatbot for universities. It utilizes Retrieval Augmented Generation (RAG) to improve the accuracy of responses.

Efficiently search and retrieve information from PDF documents using a Retrieval-Augmented Generation (RAG) approach. This project leverages DeepSeek-R1 (1.5B) for advanced language understanding, FAISS for high-speed vector search, and Hugging Face’s ecosystem for enhanced NLP capabilities. With an intuitive Streamlit interface and Ollama for mode

End To End Advanced Rag Project Using Open Source LLM models and Groq Inferencing

A RAG based chatbot that is able to respond with structured JSON format. The output will be always in a JSON format with expected key, value pairs.

Modern Local Code Editor with local ai assistant with multiple options. Currently Support C language. Using a C Programming Book for knowledge

A hands-on collection of practical notebooks for learning and building with LLMs , including prompt engineering, RAG, fine-tuning, and evaluation. Built for aspiring AI engineers using only free and open-source tools.

A Langchain implementation for Memvid, enabling efficient video-based document storage and retrieval using vector embeddings.

A chatbot for Kaggle competition inquiries, using LangChain for processing, a Mistral model for responses, and Retrieval-Augmented Generation (RAG) for dynamic data. It features a FastAPI backend and a Streamlit front end for real-time interaction.

A LangChain-powered RAG chatbot designed to assist Bachelor of Architecture students with 5th semester coursework, studio queries, and design theory.

A personal AI anime chatbot built with Next.js, OpenAI, Astra DB, and RAG to provide anime recommendations, story explanations, watch orders, and character insights.

101 curated Agent Skills for Claude Code, GitHub Copilot, Cursor, and Gemini CLI. Covers React/Next.js, Postgres, HuggingFace ML, AI research engineering (vLLM, DeepSpeed, LangChain, RAG, fine-tuning) and dev.to blog writing.

김필주, 이재강, 문재경, 이재희, 박송원

An AI-driven Multimodal multi-agent chatbot for home deployment to manage the user's daily chores and tasks. Used OpenAI and Langchain and MORE

The true Natural-language programming with LLM and AutoGPT

A sample project to demonstrate how a langgraph ReAct agent can be wrapped with the A2A protocol

Agent runtime tracing + LLM-mock replay for Python. Self-contained HTML reports, pytest snapshot testing, cost tracking. No SaaS.

AI Engineer building production-grade ML systems | LLMs, RAG, ML Pipelines | Python, TensorFlow, LangChain | Open to opportunities

RL reward modeling + episodic trade memory + LoRA fine-tuning pipeline built on top of a multi-agent LLM trading system — LangGraph, LangChain, PEFT

Runtime defense for AI agents. 24 inline defenses, 3 output scanners, MCP server, framework adapters.

HipCortex is a persistent, local causal memory engine solving context-loss and token inefficiency in AI agents. It stores decisions as a causal graph served via HTTP/MCP, replacing bloated chat histories with lean context. This symbolic memory enables reasoning-capable architectures that retain knowledge across sessions.

A Python-based project comparing CrewAI, LangGraph, and AutoGen by implementing the same stock analysis workflow across all three. Each agent framework generates a BUY / SELL / HOLD recommendation with rationale—ideal for exploring multi-agent design patterns and orchestration styles.

BenchClaw adapters for LangChain, LlamaIndex, CrewAI, Ollama Open WebUI, LobeChat, n8n, Dify, Continue.dev and more. Lets any agent framework submit to the P2PCLAW leaderboard.

"A resilient RAG agent built with LangGraph and LlamaIndex that self-corrects by rewriting queries when retrieval quality is low. Features a cyclical graph architecture for adaptive search.

Open governance architecture for multi-agent AI systems. Give your agents a job title, not just a job.

Runnable multi-agent LLM workflow examples in Java — RAG, ticket triage, web research, Slack bot, batch processing — with AgentFlow4J and Spring AI.

Multi-agent AI that turns prompts into structured, impact-driven decisions.

Multi-Agent Retrieval-Augmented Generation (RAG) Customer Support System using Python, LangChain, and LangGraph.

AgentFlow: A production-grade Go LLM Agent framework with layered architecture, multi-provider LLM support, memory systems, reasoning modes, and workflow engine. 生产级 Go 语言 LLM Agent 框架。

A privacy-first AI meeting assistant that lives as a floating widget on your desktop. Records microphone and system audio natively — Powered by Tauri v2, WhisperX, and LangGraph. Open-source, no bots, no meeting links — then transcribes and summarizes with your LLM of choice, fully local if you want.

Enable accurate academic citation by searching, evaluating, and generating BibTeX entries with quality metrics using Semantic Scholar data.

🤖 Enhance analysis with a customizable AI integration tool that unifies multiple AI services through a standard API for streamlined outputs.

Runnable, framework-focused recipes for the Ferro Labs AI Gateway: build LangChain & LangGraph agents that route across OpenAI, Anthropic & Gemini through one endpoint — docker compose up and go.

AI Agent Error Doctor: paste MCP / LangChain / CrewAI tracebacks, get root cause, exact fix, and verification steps.

免费的类似 OpenClaw 的开源 AI Agent，具有自我进化能力。支持浏览器自动化、代码执行、多模型对话（DeepSeek/OpenAI/MiniMax）和多 Agent 协作。

🤖 An AI-powered DevOps agent implementing ReAct architecture to automate mobile release pipelines (Crash Check -> Perf -> Build -> Audit). Built with LangGraph & Ollama.

The project uses Memory Based- RAG for healthcare queries, searching FAISS vector database for relevant answers. If no results are found, an AI fallback mechanism steps in. The AI Agent employs Selenium headless drivers, automation, web scraping, etc techniques to enhance search efficiency, ensuring accurate, real-time responses.

A curated list of the best AI agent, orchestration, and LLM developer tool repositories

LanchainLLM

GPT - Ignition: Understanding, Studying & Mastering AI, GPT, LLMs, AGENTS, and MORE!

Youtube assitant using OpenAI, Langchain, and FastAPI - Using this API you can ask questions directly to your favorate podcast.

Chat-with-LLMs is your one-stop destination to try out and compare the latest large language models from leading AI providers.

🎬 RAG Chat with YouTube — A lightweight end-to-end RAG app built with FastAPI + LangChain + Streamlit. Upload a YouTube video URL, extract its transcripts, embed them using Google Gemini embeddings, and chat interactively with the video’s content. Perfect for exploring context-aware LLMs, video summarization, and semantic search

Query the ML Engineering Open Book using RAG

Simple AI search and summarising agent

AI-driven PDF reader that turns documents into conversations. Built with GPT-4o-mini, Firebase, and Next.js to demonstrate full-stack development and AI integration.

An automated talent acquisition pipeline designed to streamline candidate screening using Agentic AI. This project uses LLMs to parse resumes and job descriptions, ranking candidates based on semantic alignment, with full observability provided by LangSmith.

Stateful agent-graph framework with deterministic governance — rules route transitions, not the LLM. Auditable, replayable. Built on Fathom.

Local-first autonomous coding agent — Claude Code style task execution, LangGraph, Ollama, zero cloud dependency

S-Chatbot is a Streamlit-based chatbot powered by GooglePalm language model. It allows users to interact with the chatbot and receive responses from the model.

Building app in databutton using LangChainAI's Constitutional Chain

Materials for the talk "Building a Q&A engine with LangChain and open-source LLMs"

A RAG (retrieval augmented generation) playground application for LangChain. Supports Google Gemini Pro, OpenAI GPT-3.5-Turbo, and Anthropic Claude 2.1. Built using LangChain, Angular, Tailwind, and NgAnt.

AI Review Summary for Restaurants

Aora is an application designed to leverage AI for advanced document handling and natural language processing. This repository contains both backend and frontend components to get the application up and running.

This project aims to build a RAG system (chatbot & voice assistant) that responds to custom data.

A lightweight RAG for embedding and querying codebases. This service allows users to download GitHub repositories, process their code, store it in a vector database, and query it using natural language to retrieve relevant code snippets. Perfect for building intelligent code search and analysis tools.

Agentic AI-powered search engine for discovering AI tools using natural human queries.

A RAG LLM specialized in agricultural knowledge, currently primarily supporting soil science knowledge in China.