Show HN: Tambo – build generative UX web apps

3 months ago 2

A React package for building AI-powered applications with generative UI, where users interact through natural language.


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Build apps with Generative UI and MCP

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Get started using our AI chat template:

npx tambo create-app my-tambo-app

For detailed information about what Tambo is and how it works, check out our docs site.

For a quick walkthrough of using the fundamental features of Tambo, check out this page.

tambo-ai is a client-side registry of React components that can be used by an LLM.

1. Register your components

const components: TamboComponent[] = [ { name: "Graph", description: "A component that renders various types of charts (bar, line, pie) using Recharts. Supports customizable data visualization with labels, datasets, and styling options.", component: Graph, propsSchema: graphSchema, // zod schema }, // Add more components ];

2. Wrap your app in a TamboProvider

// In your chat page <TamboProvider apiKey={process.env.NEXT_PUBLIC_TAMBO_API_KEY!} components={components} > <MessageThreadFull contextKey="tambo-template" /> </TamboProvider>
const { submit } = useTamboThreadInput(contextKey); await submit({ contextKey, streamResponse: true, });

4. Render AI-generated components

const { message } = useMessageContext(); // Render the component <div>{message.renderedComponent}</div>;

We provide components that use these hooks for you in our templates and in our component library at ui.tambo.co.

Create a new tambo app:

npm create tambo-app my-tambo-app cd my-tambo-app npm run dev

Check out our UI library tambo-ui for components that leverage tambo.

1. Displaying a message thread:

import { useTambo, useTamboThreadInput } from "@tambo-ai/react"; function ChatInterface() { const { thread } = useTambo(); const { value, setValue, submit } = useTamboThreadInput(); return ( <div> {/* Display messages */} <div> {thread.messages.map((message, index) => ( <div key={index} className={`message ${message.role}`}> <div>{message.content}</div> {message.component && message.component.renderedComponent} </div> ))} </div> {/* Input form */} <form onSubmit={(e) => { e.preventDefault(); submit(); }} className="input-form" > <input type="text" value={value} onChange={(e) => setValue(e.target.value)} placeholder="Type your message..." /> <button type="submit">Send</button> </form> </div> ); }

2. Adding AI-Generated Components:

Create components that can be dynamically generated by the AI:

// components/WeatherCard.jsx import { useTamboComponentState } from "@tambo-ai/react"; export function WeatherCard() { const [weatherState, setWeatherState, { isPending }] = useTamboComponentState( "weather", { temperature: 0, condition: "", location: "", }, ); if (isPending) { return <div>Loading weather data...</div>; } return ( <div> <h3>{weatherState.location}</h3> <div>{weatherState.temperature}°C</div> <div>{weatherState.condition}</div> </div> ); }

3. Register your components:

// App.jsx import { TamboProvider } from "@tambo-ai/react"; import { WeatherCard } from "./components/WeatherCard"; import { z } from "zod"; // Define your components const components = [ { name: "WeatherCard", description: "A component that displays weather information", component: WeatherCard, propsSchema: z.object({ temperature: z.number(), condition: z.string(), location: z.string(), }), }, ]; // Pass them to the provider function App() { return ( <TamboProvider apiKey="your-api-key" components={components}> <YourApp /> </TamboProvider> ); }

Register tools to make them available to the AI:

const tools: TamboTool[] = [ { name: "getWeather", description: "Fetches current weather data for a given location", tool: async (location: string, units: string = "celsius") => { // Example implementation const weather = await fetchWeatherData(location); return { temperature: weather.temp, condition: weather.condition, location: weather.city, }; }, toolSchema: z .function() .args( z.string().describe("Location name (city)"), z .string() .optional() .describe("Temperature units (celsius/fahrenheit)"), ) .returns( z.object({ temperature: z.number(), condition: z.string(), location: z.string(), }), ), }, ]; // Pass tools to the provider <TamboProvider apiKey="your-api-key" tools={tools}> <YourApp /> </TamboProvider>;
const mcpServers = [ { url: "https://mcp-server-1.com", transport: "http", name: "mcp-server-1", }, ]; // Pass MCP servers to the provider <TamboProvider apiKey={process.env.NEXT_PUBLIC_TAMBO_API_KEY!} components={components} > <TamboMcpProvider mcpServers={mcpServers}>{children}</TamboMcpProvider> </TamboProvider>;

Read our full documentation

  • Node.js 18.x+
  • npm 10.x+

MIT License - see the LICENSE file for details.

We're building tools for the future of user interfaces. Your contributions matter.

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