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3 production projects and 1 rule set built with LangGraph.
Production projects
- Multi-Agent Interactive AI Classroom Classic OpenMAIC Built as a Next.js app around a set of npm-published packages (slide DSL, generation, renderer, editor, importer, storage). The multi-agent LangGraph pipeline, the slide format and persistence can each be reused or swapped, and heavy video rendering runs in a separate container.
- LLM Application Framework & Agent Orchestrator AI-agent LangChain The current langchain package is a thin agent-building layer on top of LangGraph, with the older chain-based API kept separately as langchain-classic, and every model provider ships as its own versioned package so integrations can release independently of the core library.
- AI Copilot & Assistant SDK AI-agent CopilotKit A shared AG-UI protocol plus a PlatformAdapter-based channel architecture let one agent implementation power web, mobile and chat-platform surfaces from a single Nx/pnpm monorepo instead of building a separate integration per surface.
Often used with LangGraph
AGENTS.md rules and agent skills with LangGraph
Questions about LangGraph
How many production projects use LangGraph?
3 verified production projects in the STACK IT FAST directory use LangGraph, each with a full architecture breakdown.
What is LangGraph most often used with?
Across projects in the directory, LangGraph is most commonly paired with TypeScript, React, LangChain.
Is there an AGENTS.md rule or Claude Code skill for LangGraph?
Yes — LangGraph + Python + FastAPI (Agentic AI Workflows) includes a full AGENTS.md, CLAUDE.md, Cursor .mdc rule set and an installable SKILL.md covering LangGraph.