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.

LangGraph template for a simple ReAct agent, with MCP tools support and robust test suites.

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

Local execution trees for TypeScript AI agents. agent-inspect helps you understand what happened inside an AI agent run — locally. It turns manual steps, tool calls, LLM calls, structured logs, failures, durations, and run metadata into readable execution trees you can inspect from the terminal. It is built for TypeScript/Node.js developers..

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

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

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.

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

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

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