Build and manage AI agents as graphs using the Langgraphjs framework.
Automations like: when a user mentions a specific product, generate a related article on your website.
Create resilient AI agents with Langgraphjs to handle complex conversations, reduce maintenance, and improve user experience.
"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."
Pick this up when working on AI-powered projects, and you want to build robust, maintainable, and scalable agents.
Reach for Langgraphjs when building large-scale, customer-facing AI applications that require flexibility and adaptability.
Langgraphjs is not a complete AI solution, but rather a framework to build and manage AI agents; it's meant to be combined with other tools and technologies to create a comprehensive AI application.
Langgraphjs allows you to build and train language agents that can understand and respond to user input in a more flexible and resilient way by representing their knowledge as graphs.
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!' });Read the entire source before you build โ unlike paid marketplaces that hide it behind a buy button.
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