langsmith

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.

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

Unified LangChain documentation.

Building a Multi-Agent AI System with LangGraph and LangSmith

⛓️ 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.

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

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

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

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

Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems.

Open-source, self-hosted LangGraph Agent Server. Production Postgres + Redis. Same SDK. Same Studio. Zero code changes.

Implementation of 12 AI agents evaluation techniques

Enterprise AI Agent Orchestration Platform — Secure, Observable, Configurable. Multi-agent teams with IAM policies, n8n workflows, LangChain memory, LangSmith traces, NemoClaw security, OpenTelemetry, and 20+ LLM providers.

A batteries-included monorepo framework for building sophisticated LangGraph applications

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

Reddit AI Agent is an intelligent tool that helps you explore Reddit like never before! 🔎 It allows you to search for any query and fetch top Reddit threads along with their most relevant comments. 🚀

A production-grade multi-agent system using ReAct orchestration, MCP, A2A, and LMMs for hyper-local property valuation with Evals.