Langchain agents

Golang RAG chatbot for university admissions. Built with LangChain, pgvector, Neo4j & Gemini AI. Features semantic search, knowledge graphs, async processing & hexagonal architecture. Demonstrates high-performance AI in Go as alternative to Python RAG systems.

Yassir — open-source AI research agent for halal finance and Shariah-compliant investing

Pre-execution policy engine for AI agents. Every tool call checked before execution.

PDF Ninja is a modern AI-powered PDF SaaS built with Next.js, enabling seamless document viewing, conversion and secure authentication.

PromptWeaver: RAG Edition helps design effective prompts for Traditional, Hybrid, and Agentic RAG systems. It offers templates, system prompts, and best practices to improve accuracy, context use, and LLM reasoning.

This project brings together the seamless interactivity of Streamlit and the advanced language capabilities of OpenAI's GPT-3 to create a user-friendly and intelligent chatbot. Users can ask questions, seek assistance, or simply engage in a friendly conversation, and the chatbot responds with contextually relevant and human-like answers.

AI-powered tool that transforms complex research papers into clear, customized explanations. Uses LLMs (GPT-4, Claude, Gemini) to provide adaptive insights from high school to expert levels. Built with Python, Streamlit, and LangChain. Ideal for students, researchers, and lifelong learners. 🌟 Star us for updates! 🤝 Contributions welcome!

🤖 Agentic RAG - An intelligent document assistant with semantic chunking, hybrid search (vector + BM25), multi-format support (PDF, Word, CSV, Excel), and multi-channel bots (Telegram, WhatsApp). Built with FastAPI, React, PostgreSQL/pgvector, and LangChain.

The goal of this project is to develop a RAG system using Agent from LangGraph to improve the travelling experience of tourists.

A Retrieval-Augmented Generation (RAG) based question-answering proof-of-concept (PoC) that enables users to query documents using natural language. This system leverages local LLMs via Ollama for enhanced privacy and performance and features a chat-based interface. Built entirely with Python, including both backend an frontend.

Automated AI video generation factory. Create faceless YouTube content from prompts with LLM scripts, multi-character TTS, and automated publishing. Built with FastAPI, LangGraph, and Next.js

SQL and Python Agent for your MySQL databases.

This project consist on ChatBot implementation with two approach: Retrival-Augmented Generation (RAG) and Fine-Tuning

Turn a single prompt into a complete system architecture. ArchAgent is a multi-agent AI pipeline that takes your project idea and outputs a production-ready architecture document, tech stack decisions with reasoning, cost estimations, and a visual system diagram — all in seconds.

AI-based YouTube summarizer with chat, notes, and chapter generation using LangChain + MERN.

The WhatsApp Automation Agent combines AI language models, web automation, and a robust dashboard to create a flexible automation platform for WhatsApp interactions.

MCP Tools Usage From LangChain ReAct Agent / Example in Python

Notebooks that walk through modern LangChain and LangGraph patterns using the latest v1.x APIs. Content is organized to start from fundamentals and build up on that.

🛡️ Open-source safety guardrail for AI agent tool calls. <2ms, zero dependencies.

Open-source AI agent orchestration platform. Multi-agent discussions, visual workflows, 30+ tools, human-in-the-loop governance.

LLQuery : Your Conversational SQL Bridge Harness the power of natural language to effortlessly craft SQL queries with LLQuery.

Langchain integration for Salesforce CRM, providing tools for SOQL queries, object schema inspection, and CRUD operations through Langchain's framework

A research framework for implementing and evaluating poisoning attacks on Retrieval-Augmented Generation (RAG) systems, enabling the study of their security vulnerabilities.

Next-Gen Indonesia IT Law Q&A: Knowledge Graphs & LLMs. ArangoDB Hackathon Project Repository: Building the Next-Gen Agentic App with GraphRAG & NVIDIA cuGraph.

A template repository for multi-agents architecture using LangGraph tool from LangChain

Agent-ready telemetry SDK — enriches OpenTelemetry across Java, Go, Python, Node.js, and browser with structured context for AI-driven observability.

Innovative AI agent implementations using LangGraph—featuring ReAct, RAG (Corrective, Self, Agentic), chatbots, microagents, and more, with multi-AI agent systems on the horizon! 🤖🚀

TypeScript AI agent framework — 40+ LLM providers, 100+ tools, multi-agent orchestration, RAG, guardrails, circuit breakers, HITL, budget enforcement. Open-source CrewAI / LangChain alternative. — For Building Production-Grade Multi Agents in Minutes at Scale

AI-powered multi-agent financial advisor system with LangGraph orchestration across nine specialized agents including retrieval, portfolio analysis, market desk, due diligence, and compliance, routing through a LiteLLM gateway, computing real portfolio risk metrics, and holding risky answers for human review before they reach the user.

AI-powered murder mystery game platform. Multi-Agent collaboration with LangChain4J, RAG memory system - Spring Boot + React

About Chat with any website using FastAPI, Next.js, and the latest LangChain version for seamless integration.

Free, API-key-free MCP web search server — DuckDuckGo, Bing, Google + optional SerpAPI/Tavily. Works with Claude Desktop, Cursor, and any MCP client.

Run a lightweight daemon that turns your Claude Code into a task scheduler and Telegram assistant without extra API keys or billing concerns.

AI-powered customer support automation with LangChain & LangGraph. Multi-agent system for intelligent complaint processing, priority assignment, and automated responses. Built with FastAPI, React & SQLite.

An AI-powered resume tailoring system that automatically optimizes your resume for specific job posting.

Simplified implementation of a deep research agent using LangGraph

Full-stack RAG platform for document loading, smart chunking, embedding, indexing, hybrid retrieval, and answer generation. Features chunking/model recommendation, query enhancement, and modular debugging. Built with FastAPI, Vue 3, Milvus, and LangChain

Self-hosted web UI for AI-powered stock & crypto research — multi-agent LLM analysis, live streaming, portfolio tracker, watchlist scheduling, and outcome tracking.

Open-source agentic SDLC platform: an autonomous product team that ships PRs daily, with a human approval gate before production.

Distributed, cloud-native fraud detection: Kafka Streams + XGBoost + LangChain Agents + ChromaDB RAG + River Online Learning, a self-improving pipeline, deployable on Docker Compose or GKE

This project is a dynamic AI chatbot that can be trained from various sources, such as PDFs, documents, websites, and YouTube videos.

7-layer RAG framework that eliminates semantic drift + context poisoning. Faithfulness 0.94 vs 0.71 Naive RAG. +13.6 EM on multi-hop QA.

Hands-on AI agent security resource: OWASP GenAI attack/fix/verify demos on a LangChain IT-helpdesk agent, deployed to the cloud.

Production-grade RAG system with hybrid retrieval (Qdrant + Elasticsearch + Neo4j), Corrective RAG via LangGraph, feedback-driven reward model, and RAGAS evaluation dashboard

🪢 Self-hosted personal AI assistant on Telegram — reads your Gmail/Outlook & calendar, drafts and sends replies with your approval, schedules meetings, and builds an inspectable Neo4j knowledge graph.

A high-throughput semantic routing engine for AI agents and LLM applications. Executes local intent classification using ONNX embeddings, FAISS indexing, and asynchronous micro-batching.

Orchestrate and govern human + AI work loops with auditable receipts

AI career agent: 41 tools, 12 MCP servers, 5 specialists. Chat-first. LangChain + ChromaDB.

Not the official LangGraph Rust implementation, but the basic core features are already implemented.

Production-ready multi-user AI agent framework — 9 LLM providers with Chinese models (Qwen, DeepSeek, Kimi, GLM) first-class. Built-in tools, MCP, RAG, sub-agents, skills, scheduler and an agent pool. Run it as a CLI/service, or embed it as a library.

Write your page once — AHTML emits MCP, OpenAPI, JSON-LD & llms.txt for AI agents from your existing Next.js, Vite or SvelteKit app. Zero migration. MIT.

Intelligent document OCR and structured extraction. Turn PDFs and images into typed JSON with zero vendor lock-in.

Persistent memory for AI coding agents — MCP server, REST API & Python SDK. Works with Claude Code, Cursor, Windsurf and any LLM agent.

Adaptive memory for agents: durable local-first state, scoped recall, reinforcement, forgetting, consolidation, and reproducible benchmarks.

Multi-format RAG knowledge base with BGE-M3, LanceDB, hybrid search, FastAPI and Streamlit.

面向长期陪伴与自我理解的隐私优先 AI 记忆平台，融合 RAG、人生图谱、多模型路由与 MCP 能力网关。

Organize Simple API — turns a receipt, invoice or card statement PDF into structured JSON. NestJS, Prisma, LangChain, Poppler.

A terminal cockpit for AI agents. Observe, evaluate, intervene.

AI-powered ERP agent for Odoo. Features a 21-node LangGraph backend with safe CRUD confirmation gates, SSE streaming. Includes real-time analytics with auto-generated Excel/PDF exports and proactive monitoring. Next.js 16 + FastAPI + PostgreSQL

Core hub for LLM orchestration, AI agent development, and prompt engineering frameworks. Implementing advanced workflows, RAG systems, and autonomous agent logic for intelligent automation.

Kotlin Multiplatform semantic cache for LLM calls: eleven guards against false cache hits, measured on blind corpora, coroutine-first.

An AI SRE for Kubernetes: connects to your cluster, investigates with real tools, explains the root cause in plain English, and executes the fix only after you approve it. Peer-reviewed — Journal of Grid Computing, 2026.

Hands-on Generative AI: 15 RAG modules from document loaders to guardrails, plus Papeer — a research paper assistant with citations and claim verification. Also LangGraph workflows and LangSmith tracing.

Local-first semantic memory engine for AI agents - scores, trusts, and forgets so your agent stops making the same mistake twice.

The dashcam and emergency brake for AI agents. A security proxy that physically blocks rogue LLM commands and generates cryptographically proven audit trails for enterprise compliance.

A statically typed framework for working with LLMs

A voice assistant that can recognize and respond to user’s voice commands using Porcupine, Whisper, pyttsx4, OpenAI GPT, and LangChain.

🌟 Mindstride is a RAG-based chat assistant designed to support mental health, personal growth, and self-improvement. This project leverages advanced AI technologies to provide a personalized and insightful experience, drawing from the wisdom of over 70 books on mental well-being, personal development, and self-discovery.

🤖 一个基于本地 Ollama 模型的代码助手 CLI 工具。集成 LangChain.js，使用模型原生 tool calling 能力实现可靠的工具调用。

Audio enabled end-to-end RAG pipeline

pyWhat LLM version | Answer "What is it?" on the command line with the power of large language models

📝 Streamlit App : Weekly News Letter Crew AI Agents 🖋️

These #LangChain-powered apps include a Research Assistant that generates reports using web scraping and GPT-4o-mini, and Chat With Video, a #Streamlit app that #transcribes videos and enables content-based Q&A via #embeddings.

FastAPI Local RAG Q&A Demo

AI-native text editor for product managers. Write smarter, ship faster.

Collection of generative AI projects & applications including: multiple LLMs, AI agents, RAG

Agente de IA especializado em ajudar com pequenos reparos residenciais, construído com LangChain, FastAPI e modelos locais com Ollama

A LangChain tool that enables AI agents to browse safely using deep Web Page inspection. Web access is the #1 attack surface for autonomous AI agents.

Use a RAG Langchain agent that connects to your supermarket's inventory database and get information about product stocks and locations.

This project enables users to **generate SQL queries from natural language** using **LLM** of their choice while enforcing **Role-Based Access Control (RBAC)** and **Row-Level Security (RLS)**. It also includes **SQL injection detection** and **sensitive data logging** for compliance and security.

An intelligent learning assistant system providing personalized learning planning based on user profiles.

Been building this for 6 months. Finally at a place where I'm comfortable sharing it.

Smart AI career assistant - resume parsing, skill gap analysis, and personalized guidance for students and professionals.

Calliope is an experimental agentic framework that brings modern AI tools like generative AI (large language models and image generation models), computer vision, and vector databases to bear in the creation of interactive art works that dynamically produce images, video, text, and sound.

AI Engineer · AWS I help developers build production-ready AI applications through hands-on tutorials and open-source projects

Playing with SetFit approach for few-shot transfer for text classification

✨ Instant timestamped chapters for your YouTube videos with just one click! ✨

Lightning is an ultra-fast AI chatbot powered by Groq LPUs (Language Processing Units), offering one of the fastest inference speeds on the market as of April 2024. With its advanced natural language processing capabilities and lightning-fast response times, Lightning provides an unparalleled conversational experience.

Master GitHub with a Qwen AI app built on LangChain, Hugging Face & FAISS.

A FastAPI application that uses Retrieval-Augmented Generation (RAG) with a large language model (LLM) to create an interactive chatbot. This chatbot leverages PostgreSQL vector store for efficient document retrieval and supports text and CSV data sources for initialization.

AI-powered knowledge base chatbot with RAG. Upload docs, ask questions, get accurate answers with sources. Supports OpenAI/local LLMs.

The LangGraph project implements a "Reflection Agent" designed to iteratively refine answers to user queries using a Large Language Model (LLM) and web search. It simulates a research process where an initial answer is generated, critiqued, and revised based on information gathered from web searches, all managed by a LangGraph workflow.

AI agents, trained by the minds that move the world.

A fully free, open-source 4-agent AI council built with LangChain + Ollama. Natural group-chat conversations, zero API costs, runs entirely on your machine.

A simple implementation of the RAG architecture on an Investor database to give you a VC fund raising assistant

A vectorize-and-search application built on top of LangChain, Qdrant, and large & small language model pipelines!

Personal Project that shows UI based demonstration of Google's State-of-the-Art Gemini Model capabilities

Travel Planner Crew AI Agents - Streamlit App

Voice-first personal knowledge assistant powered by RAG. Upload docs, ask via voice or text, get answers grounded in your own knowledge base.

Build E2E Micro SaaS AI application, takes in Github urls, generate json reports with AI powered insights and repo stats