Langchain agents

a personal journaling app where you can chat with your entries locally

Enterprise-ready Document Analysis with Large Language Models

🚀 Lightweight Python library for building production LLM applications with smart context management and automatic token optimization. Save 10-20% on API costs while fitting RAG docs, chat history, and prompts into your token budget.

AI-augmented, conversational information retrieval and data exploration

A simple, modern, and reliable Go library for interacting with multiple LLM providers

🔎 A deep-dive into HyDE for Advanced LLM RAG + 💡 Introducing AutoHyDE, a semi-supervised framework to improve the effectiveness, coverage and applicability of HyDE

Online-adaptive multi-agent framework for enterprise API orchestration. Adaptive circuit breakers, SLA-driven routing, hybrid LLM+rule intent parser. Apache 2.0.

📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGraph + Streamlit.

AI-powered chatbot designed specifically for legal professionals. It aims to streamline client interactions, provide preliminary legal guidance, and enhance law firm efficiency. The chatbot offers features such as legal document analysis, client intake automation, legal research assistance, appointment scheduling, multi-language support,.

A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models

AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences.

A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models — with reproducible notebooks and a full supervisor-led agent workflow.

根据 Crash/ANR/OOM 等日志构建证据链，实现自动修复代码的Agent框架，并支持衔接自动测试验证、Bug管理平台 Agent framework that builds evidence chains from Crash/ANR/OOM logs, auto-fixes code, and plugs into test verification & bug trackers.

Build AI, agents and workflows with RAG, MCP, harnesses, & multi-agent orchestration in a 3-week cohort

Smart multi-agent conversational assistant with LangGraph orchestration, Human-in-the-Loop, enterprise-grade observability, and full i18n support (6 languages)

Chat with your PDFs, built using Streamlit and Langchain. Allows the user to ask questions to a LLM, which will answer based on the content of the provided PDFs.

Upload personal docs and Chat with your PDF files with this GPT4-powered app. Built with LangChain, Pinecone Vector Database, deployed on Streamlit

AI Chatbot with Streamlit, Langchain, and Mistral7b

This repository contains the code and infrastructure as code for a Generative AI-powered Request for Proposal (RFP) Assistant leveraging Amazon Bedrock and AWS Cloud Development Kit (CDK).

✸ CryptoGPT — An experiment for LLMs achieving Financial Autonomy.

Generate subtitles for all the videos in a folder with OpenAI's Whisper privately in your computer.

Demonstrate how to use DeepSeek-R1 models GitHub Models, Azure or Ollama

Chat with your PDF documents using this AI-powered SaaS - leveraging TypeScript, Next.js 14, Tailwind CSS, Pinecone, and Langchain.

DiscordLangAgent: This is a Discord chatbot built with LangChain. It uses the 'Agents' feature in LangChain to create flexible conversation chains based on user input. The bot can interact with different language models and tools, and supports multiple API endpoints.

The Smart Marketing Assistant is an innovative project that leverages AI agents to automate tasks within an Instagram marketing workflow. This project aims to streamline and optimize various marketing activities, providing users with a powerful tool to enhance their social media strategies.

A collection of experimental Retrieval Augmented Generation (RAG) Techniques to elevate your pipelines, all with code and intuitive explanations

Multi-Agent Debugger: An AI-powered debugging system using CrewAI to orchestrate specialized agents that analyze logs, trace code, and uncover root causes across your stack — powered by LLM providers.

Lightweight RAG provenance middleware. Verifies every claim in an LLM response is grounded in a retrieved source - without an LLM call.

Proof layer for AI agents. Cryptographically verify every action.

Real-time Polymarket tracker with news aggregation, large activity monitoring, price movement signals, top holder analysis, and AI Agents debate floor.

OxyJen is an open-source Java framework for orchestrating LLM workloads with graph-style execution, context-aware memory, and deterministic retry/fallback. It treats LLMs as native nodes (not helper utilities), allowing developers to build multi-step AI pipelines that integrate cleanly with existing Java code.

AI-powered legal chatbot that leverages Retrieval-Augmented Generation (RAG) with DeepSeek R1 for advanced legal reasoning and document analysis. It provides a sophisticated legal assistant that can process and analyze complex legal documents, retrieve relevant information using advanced vector search, and generate nuanced legal analysis.

Advanced-RAG-LangGraph is a Streamlit-based web application that implements an advanced Retrieval-Augmented Generation (RAG) pipeline using LangGraph, ChromaDB, and Tavily to enable interactive document-based Q&A with enhanced retrieval and error-handling capabilities.

Langchain and Autogen wrapper to allow agents to communicated and get Identity on Zynd AI

AIGC 知识库问答系统快速搭建，便于企业级定制化，支持文档上传，向量存储，聊天式问答。

This Smart Customer Support Chatbot is an intelligent and context-aware solution designed to revolutionize Ecommerce customer interactions and provide exceptional support.

Langchain SQL Agent Boostrap application. Flask on the backend, React on the front.

This project demonstrates how to utilize Codellama, a local open-source Large Language Model (LLM), and customize its behavior according to your specific requirements using a Modelfile.

A chatbot demo that scrapes a website and stores the result in a vector db, which can then be queried via natual language - chatgpt style.

MOM AI transcribes audio into meeting summary and generate minutes of meeting. Built using Langchain, OpenAI GPT-3, Open Whisper.

An agent with human in the loop that can search the web for information while bypassing bot detection for private sites.

🎮 VibeC64 - AI-Powered Commodore 64 Game Creator (BETA)

Detect hallucinations in LLM responses. Verify every claim against source documents using hybrid STS + NLI. Works with LangChain, LlamaIndex, or any RAG pipeline. pip install longtracer

你的AI虚拟女友“小凡”：一个基于Live2D Cubism SDK和OpenAI API的智能对话助手项目，结合了Live2D虚拟形象、实时WebSocket通信和AI对话功能。

将自然语言描述的 COMSOL 建模需求自动转换为完整 .mph 模型文件的智能 Agent，支持几何、物理场、网格、研究与求解的完整仿真流程。

A FastAPI-powered workflow orchestration system that integrates LangGraph to design, run, and manage AI Agents workflows

Day-by-day AI/ML roadmap — 5 phases, 33 weeks, 12 projects. From Python to GenAI. Built by a student, for students. 🚀

AI Agent 从入门到实战 - 原创保姆级中文教学，不依赖框架从零构建Agent | 作者：青松与桑叶

🤖 This is the Go language implementation of microsoft/TypeChat.

Intelligent search engine/QA module that uses GPT models to provide accurate, relevant & recent answers from Google News/Web, & can directly answer user queries using GPT's knowledge.

ChatGPT Prompt Engineering for Developers.

Chatbot slot filling based on LLM + langchian｜多轮对话槽值填充。

AI writing assistant built with FastAPI, LangChain, LangGraph, RAG, and OpenAI-compatible APIs for style extraction, rewriting, review, and cover generation

Enhance your knowledge in medical research with the help of LLM and RAG.

Local character AI chatbot with chroma vector store memory and some scripts to process documents for Chroma

LangChain / LangGraph Q&A 에이전트

Local Agentic RAG using Langchain and Agno

Langchain Voice Agent with Inworld TTS

YouTubeGPT • AI Chat with 100+ videos ft. YouTuber Matt Wolfe (@mreflow) 🐺🟣🤖💬

One API, any AI

A Python Mixin to help convert any LangChain Chat Model into a Tool Calling LLM

对话式商业智能分析Agent应用

Langchain FastAPI server

Accounts-payable automation platform that ingests vendor PDF invoices, runs a LangChain multi-agent pipeline, and stores structured results in SQLite with PDFs on AWS S3.

Engineering infrastructure for building retrieval, memory, and context-aware AI systems.

A collection of AI tutorials from Dr. Ashish Bamania

App built with lang-chain utilizing OpenAI API to generate cool pet names based on the animal type and color.

Unleash the power of AI with QueryWhisperer! Get instant answers to your questions about YouTube videos.

Add Artificial Intelligence following best practices course examples

AI for Network Troubleshooting: A Proof of Concept with OpenAI and Langchain

Simple chatbot using LangChain with RAG and Flask

AI Chatbot that helps you learn how to use Dagger

A collection of Python notebooks with tutorials for the LangChain Library.

智能派单Agent系统是一个基于大语言模型(LLM)和LangChain框架的智能对话系统，用于为用户提供自动化的技师派单服务。系统具备上下文记忆能力，能够理解用户的多轮对话，并根据用户需求匹配合适的技师资源。

Streamlit web app utilizing OpenAI (GPT-4) and LangChain LLM tools. Application includes an SQLite DB for login/authentication and message storage for later retrieval. Users can upload/embed their own PDF documents for chatbot reference. The user can then interact with a GPT-4 chatbot intended for the user's specified input, context, and scenario.

advanced-rag 是一个"纯粹的开源高级RAG系统"，基于 FastAPI + Next.js 构建，仅保留 AI 助手对话（含深度研究/深度思考） 与 知识库检索/入库 两大能力，所有 API 匿名访问。

Financial CrewAI Agents (LangChain, YF Tools, Ai Crew, Groq Inference)

Welcome to ChatRPG, where your journey into the world of fantasy is powered by cutting-edge AI. Immerse yourself in endless possibilities, embark on epic adventures, and shape your own destiny in this choose-your-own-adventure (CYOA) game.

通过整合LangChain、大语言模型(LLM)、FastAPI和Streamlit，我们打造了一个直观、高效的PID参数调优平台

An open source and enterprise-grade implementation of the orchestrator-worker pattern from Anthropic's paper, "How we built our multi-agent research system," using the swarms framework.

该企业智能办公智能体项目深度融合了LLM、向量数据库与语音识别技术，为企业提供了统一、智能的信息处理与决策支持中心。该系统核心具备三大能力：1. 它能构建企业专属知识库，通过对PDF、Word等文档的智能解析与检索，让员工能通过自然语言快速获取精准的政策、流程信息。2. 它打通了企业数据孤岛，用户可以用日常语言直接查询多个业务数据库，极大降低了数据获取与分析的门槛。3. 它提供了高效的会议管理功能，能将音频内容自动转写并提炼成结构化纪要，确保会议要点一目了然。项目采用Streamlit构建直观易用的Web界面，以LangChain为应用框架，后端集成DeepSeek大模型、BGE嵌入模型与百度语音识别服务，实现从文档、数据到语音的多模态信息交互，旨在成为企业数字化转型的强大AI助手。

45+ production-ready tutorials on data science, MLOps, and AI tools. All code is executable and adaptable for real projects.

Docker sandbox backend for deepagents

Build and deploy powerful AI agents using LangChain, Langflow, and GPT-4 – from beginner to advanced.

Using Hugging Face Hub Embeddings with Langchain document loaders to do some query answering

Fluent CLI is an advanced command-line interface designed to interact seamlessly with multiple workflow systems like FlowiseAI, Langflow, Make, and Zapier. Tailored for developers and IT professionals, Fluent CLI facilitates robust automation, simplifies complex interactions, and enhances productivity through a powerful and command suite

🤖 Open-source LLM server (OpenAI, Ollama, Groq, Anthropic) with support for HTTP, Streaming, Agents, RAG (Deprecated check out Orchestra) ->

Open Source Python SDK for AI Agents Identity

A tutorial for building autonomous agents: with LangChain and from scratch

the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly

Create and interact with Knowledge Graphs using Generative AI

Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.

21 runnable reference implementations of agent design patterns, including routing, planning, RAG, tool use, reflection, and multi-agent workflows.

A travel planning Agent powered by LangGraph, Amap POI, route clustering and LLM-based itinerary generation.

A LangChain-powered multi-agent system with agent routing, skill routing, and execution harness.

Light but flexible templating and FSM framework. This repo is @promplate itself.

AppleHealthLLMBot is a personal health assistant bot designed to interact with users through conversational queries, providing personalized insights into their health activities and metrics.