Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.

A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.

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LangSmith Client SDK Implementations

Open source alternative to LangGraph Platform (now LangSmith Deployments) - Self-hosted AI agent backend with FastAPI and PostgreSQL. Zero vendor lock-in, full control over your agent infrastructure.

⛓️ build cognitive systems, pythonic

Code from tutorials presented on the "Code AI with Rok" YouTube channel

This AI Smart Speaker uses speech recognition, TTS (text-to-speech), and STT (speech-to-text) to enable voice and vision-driven conversations, with additional web search capabilities via OpenAI and Langchain agents.

Building a Multi-Agent AI System with LangGraph and LangSmith

AI Device Template Featuring Whisper, TTS, Groq, Llama3, OpenAI and more

🦜🔗 Docs for LangChain projects

RAG Logger is an open-source logging tool designed specifically for Retrieval-Augmented Generation (RAG) applications. It serves as a lightweight, open-source alternative to LangSmith, focusing on RAG-specific logging needs.

This repo is deprecated. Please go to langchain-ai/docs.

Resources for the LangSmith Academy Course

CLI for fetching LangSmith data

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A collection of agent-optimized LangChain, LangGraph and LangSmith skills for AI coding assistants.

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Visualize live LangGraph execution and see how your agent thinks as it runs.

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

AI agent simulation framework

This code is an implementation of a chatbot using LLM chat model API and Langchain.

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!

本开源项目会为大家分享关于LangChain V1.x、LangGraph V1.x、LangSmith及DeepAgents等开发经验。分享的全部视频涉及到的源码、操作说明文档等全部资料都是开源分享给大家的，我会在每期视频中给大家提供免费的下载链接

A coding agent-first CLI for interacting with LangSmith.

Learn AI, ML, and NLP with interactive Jupyter Notebook tutorials.

A batteries-included monorepo framework for building sophisticated LangGraph applications

Interactive notes (Jupyter Notebooks) for building AI-powered applications

Codes related to my one shot video on LangSmith

Implementation of 12 AI agents evaluation techniques