Langchain agents

PDF based Chatbot using streamlit LangChain & OpenAI.

Core concepts - where to apply parallelism in agentic solution

A modular AI agent framework built with FastAPI (backend) and TypeScript (frontend), integrating LangChain/LangGraph-based agents for conversational intelligence, reasoning, and tool orchestration.

Comprehensive tutorials for LangChain, LangGraph, and LangSmith using Groq LLM. Learn to build advanced AI systems, from basics to production-ready applications. Covers key concepts, real-world examples, and best practices. Ideal for beginners and experts alike. Elevate your AI development skills!

Chat with your Spotify account using GPT & LangChain AI Agent

Multi-agent AI research system — finds academic papers via semantic search & citation snowballing, then answers questions over them using agentic RAG with self-reflection. Built with LangGraph, FastAPI, Celery, and Qdrant.

A Virtual Sales Agent that uses LangChain, LangGraph, and Gemini Flash to simulate customer interactions. Features include product inquiries, order management, and personalized recommendations through a user-friendly Streamlit interface.

The deterministic merge gate for AI-generated agent capability changes — a local-first, static Tool-Use Readiness review for MCP, OpenAPI, and SDK tool surfaces. Open-source CLI + GitHub Action.

Selfhost modern LLM stacks. Run the whole fleet from your terminal

🎥 Youtube Video Summarizer and Question Answering App Using Whisper and Langchain

Memory 🧠 to your Personal ChatBot 🤖| LangChainAI and Databutton

LangChain LLM chat with streaming response over websockets

A pySigma wrapper and langchain toolkit for automatic rule creation/translation

AI Agents for drug discovery, drug development, and other pharmaceutical R&D

Local-GenAI-Search is a generative search engine based on Llama 3, langchain and qdrant that answers questions based on your local files

Apply LLMs for automated ranking Resume

Backend for SlideSpeak. Create PowerPoints with AI. Get summaries, ask questions, create presentations and more.

Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types (episodic, semantic, procedural) with built-in forgetting curves, cryptographic integrity, and automatic contradiction resolution. Model-agnostic REST API with Python and TypeScript SDKs.

OpenAI/Anthropic-compatible AI router that keeps apps online with provider failover, key rotation, caching, analytics, and local-model fallback.

A GPT powered CLI tool that answers questions about your data

一个用于在Unity中开发在线和离线聊天机器人的管线。A pipeline designed to create online and offline chat-bot in Unity.

【AI应用平台】一个AI应用与零代码结合体，旨在帮助开发者快速构建和部署AI 应用和零代码搭建！功能涵盖：AI应用、零代码搭建、AI报表、AI大屏、AI仪表盘、Chat2BI报表

An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.

Langport is a language model inference service

Workflow Runtime Engine based on CNCF Workflow Specification for Agentic Workflows

Design Patterns for Multi Agents Frameworks Like Autogen, Langraph, Taskweaver,Crewai,etc

Implementation of contextual engineering pipeline with LangChain and LangGraph Agents

Your SDK solves all of this. One interface. Unified logic. Local + hosted models. Fine-tuning. Agent tools. Enterprise-ready. Hybrid RAG.Star 🌟 if you like it!

Optimizing Dynamic Knowledge Base Using AI Agent

编程导航 2025 年 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。

Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration

🚀 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。

Create LaTeX resumes tailored to job postings by an AI model

A comprehensive learning path and practical guide for Generative AI development with hands-on LangChain implementations and detailed notes.

Open Source A2A Protocol Adapter SDK for Different Agent Frameworks

langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.

Food tour planner using LangChain DeepAgents, Google Maps API, and Tavily research. Explore multi-agent coordination patterns: task delegation via SubAgentMiddleware, planning with TodoListMiddleware

《Easy Data x AI》是一门面向所有 AI 爱好者的数据与 AI 基础入门课程。通过双轨学习路径，从数据驱动视角学习构建 AI Agent。

An AI-app that allows you to upload a PDF and ask questions about it. It uses StableVicuna 13B and runs locally.

Generative AI concepts to hands on projects

Graph traversal for improved RAG

Production RAG System Course

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

🌟PolyGPT: An Overview of Agent-Based System Architecture for Autonomous Business Operations

Awesome LLM application repo

Application of Large Language Models (LLM) for computational materials science - visit jan-janssen.com/LangSim

大型語言模型(LLM)的讀書會內容code部分整理，此github提供簡單、免費、易實作code範例，並由淺入深帶你一步步了解如何基於python建置LLM流程、部屬功能等

The AI runtime that turns your framework functions into OpenAI compatible endpoints

Langchain chat with memory and a GUI made in Streamlit

Build a 100% local Retrieval Augmented Generation (RAG) system with Python, LangChain, Ollama and ChromaDB!

Gen AI Large Language Model Projects

This is a Python application that allows you to load a PDF and ask questions about it using natural language. The application uses a LLM to generate a response about your PDF. The LLM will not answer questions unrelated to the document.

The nano framework for AI agents. Pure TypeScript, no dependencies, 100x smaller than langchain.

Open-source AI career platform that helps users build, optimize, analyze, and tailor resumes with intelligent job matching, ATS optimization, and career guidance.

Using Langchain and OpenAI to analyse resume

AI-powered text compression library for RAG systems and API calls. Reduce token usage by up to 50-60% while preserving semantic meaning with advanced compression strategies.

Secure, locally-run Retrieval-Augmented Generation system for document-based question-answering, utilizing Llama 3, Mistral, and Gemini models with a user-friendly Streamlit interface.

“接入大模型的AI-agent 互联网后端面试助手，支持在线 ACM模式IDE 与多平台面经整合，支持定制化个人面经库(RAG)与简历/面试复盘”

Python port of Claude Code's agent-runtime architecture, on LangChain

MiniPilot is a GenAI-assisted chatbot backed by Redis. Chat with your documents

Build your first LLM powered app with Langchain and Streamlit.

使用自然语言生成头条、小红书、百家号等文章

Tiny client for LLMs with vision and tool calling. As simple as it gets.

Skynet

Full Spectrum AI

This repository is a sample application and guided walkthrough for a semantic search question-and-answer style interaction with custom user-uploaded documents. Typescript, NextJS, OpenAI, Langchain, Pinecone

This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit, Fundamentals.

Meeper 📝 - is your secretary for any in-browser conference.

You Can Learn Deep Research AI Agent Design & Launch In 25 Min | Kimi K2 0905, LangChain, OpenSource

使用langchain/Ollama开发智能体agent聊天机器人框架，基于VChat框架支持微信的群聊和个人用户聊天，实现飞书机器人的接入，也可接入使用react进行前端UI(支持二次开发)开发框架的AI支持。

LLM RAG Application with Cross-Encoders Re-ranking for YouTube video 🎥

MCPHub is an embeddable Model Context Protocol (MCP) solution for AI services. Seamlessly integrate MCP servers with OpenAI Agents, LangChain, and Autogen frameworks through a unified interface. Simplifies configuration, setup, and management of MCP tools across different AI applications.

Stop reading logs. Start watching them. MermaidTrace is a specialized logging tool that automatically generates Mermaid JS sequence diagrams from your code execution. It's perfect for visualizing complex business logic, microservice interactions, or asynchronous flows.

An AI agent that writes SEO-optimised blog posts and outputs markdown.

Python Streamlit web app with an SQLite user login/authentication system. Application allows users to select multiple stocks, metrics, and visualizations. A Langchain pandas agent utilizing GPT-4 and customized stock-market/financial prompts is then initiated allowing the user to intelligently interact with their specified data.

✨ Make your LLM prompts executable and version controlled. ✨

Record and replay LLM interactions for langchain

A vast array of examples for the enterprise-grade and production-ready swarms framework.

A multi-agent SOC/DFIR assistant powered by LangChain, LangGraph, and OpenAI models. Automates IOC extraction, MITRE ATT&CK mapping, CVE correlation, investigation planning, and report generation for cybersecurity incident analysis.

Awesome Agentic AI Learning Resource by DevKay is a curated roadmap for mastering Agentic AI—from ML foundations to production-ready agents. Features a 0–12+ month path, hands-on projects, top resources, agent architectures, and tools like LangChain and AutoGen.

🦾 A production‑ready research outreach AI agent that plans, discovers, reasons, uses tools, auto‑builds cited briefings, and drafts tailored emails with tool‑chaining, memory, tests, and turnkey Docker, AWS, Ansible & Terraform deploys. Bonus: An Agentic RAG System & a Coding Pipeline with multistep planning, self-critique, and autonomous agents.

Fully automated AI blog writer that uses LangChain and GPT type LLMs for topic selection and content generation

Build your own Custom RAG Chatbot using Gradio, Langchain and Llama2

A travel agent based on Qwen2.5, fine-tuned by SFT + DPO/PPO/GRPO using traveling question-answer dataset, a mindmap can be output using the response. A RAG system is build upon the tuned qwen2, using Prompt-Template + Tool-Use + Chroma embedding database + LangChain

Bringing n8n to your Machine — a desktop & mobile companion app for n8n. Chat with agents, build workflows conversationally, work with local files.

An AI-powered chatbot integrated with Telegram, using OpenAI GPT-3.5 Turbo, language embeddings, and FAISS for similarity search to provide more contextually relevant responses to user queries

An AI agent that writes SEO-optimised blog posts and outputs a properly formatted markdown document.

A friendly API and abstractions for developing AI applications.

This repository contains various examples of how to use LangChain, a way to use natural language to interact with LLM, a large language model from Azure OpenAI Service.

从零开始基于 LangGraph 和 Streamlit 实现基于本地模型的 RAG、Agent 应用

Tableau tools for Agentic use cases with Langchain & Langgraph. Enfuse agents with updated data so they make better informed decisions that scale with your analytics practice

Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.

PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently dropped. Verify signed manifests offline: free, MIT, no account. 0.903 on opendataloader-bench, #2 of 8 engines. 7-tool MCP server.

Lumen — learner-owned AI education platform. Tell the AI what you want to learn: it builds you a private course in ~a minute, tutors you with course-scoped RAG + citations, and lets you share, clone & remix via a moderated catalog. BYOK, custom no-LangChain multi-agent orchestrator, golden evals in CI, MCP server. Live demo + public /eval.

Self-hosting Langfuse on Amazon ECS with Fargate using CDK Python

Examples of my tutorial on how to use Neo4j for empowering AI RAG systems

Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.

Examples and code snippets demonstrating common ways of integrating Neon with various frameworks and languages.

High-performance capability authorization engine for AI agents. Cryptographically attenuated warrants, task-scoped authority, verifiable offline. Rust core.

使用LangGraph搭建多智能体客服系统