Build Resilient AI Agents with Langgraphjs
Build and manage AI agents as graphs using the Langgraphjs framework.
"A founder wants to create an AI-powered support chat. She sets up an agent using Langgraphjs, connects it to her website's API, and defines conditions for automated responses based on user input. With Langgraphjs, she can update or remove nodes easily, ensuring the chat remains functional and user-friendly."
- •When you need to create a conversational AI that can handle complex, open-ended user queries.
- •When you want to build a language model that can learn from and adapt to new data and user interactions.
- •When you're developing a chatbot or voice assistant that requires a high level of contextual understanding and conversational flow.
const { LangGraph } = require('langgraphjs'); const graph = new LangGraph(); graph.addNode({ id: 'hello', text: 'Hello, how are you?' }); graph.addEdge({ from: 'hello', to: 'goodbye', text: 'Goodbye!' });Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/langgraphjs && curl -fsSL https://workflowstacks.com/api/skills/langgraphjs/claude-skill -o ~/.claude/skills/langgraphjs/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Build Resilient AI Agents with Langgraphjs is a very large TypeScript project (~126k lines across 670 code files, plus 444 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3package.jsonDependencies and the commands it exposes
- 4internal/bench/README.mdInside internal/ — the main logic begins here
- 5examples/.gitignoreA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/langgraphjs && curl -fsSL https://workflowstacks.com/api/skills/langgraphjs/claude-skill -o ~/.claude/skills/langgraphjs/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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