hashbrown

Getting Started

Guide

  1. 1. Basics of AI
  2. 2. System Instructions
  3. 3. Skillet Schema
  4. 4. Streaming
  5. 5. Tool Calling
  6. 6. Structured Output
  7. 7. Generative UI
  8. 8. JavaScript Runtime

Recipes

  1. Natural Language Forms
  2. UI Chatbot with Tools
  3. Predictive Suggestions
  4. Remote MCP

Platforms

API Overview

Get familiar with Hashbrown's resources and APIs.


Choosing a Resource

Choose the right Angular resource for the task.

Resource Multi-turn chat Single-turn input Structured output (schema) Tool calling Generate UI components

AI SDK

We love Vercel's AI SDK.

We also believe that Hashbrown needs to exist. This is because we want to drastically change the landscape of the web through generative UI.

If you have some familiarity with the AI SDK, we hope this quick comparison will be helpful.

Focus Hashbrown Vercel AI SDK
Vision Generative UI: models can assemble your actual components. General AI toolkit: text/JSON outputs with ready-made UI.
Frameworks Angular and React first-class. React/Next.js first-class; also Vue/Svelte.
Tools Client-side tool calling + safe WASM sandbox for AI-authored code. Server-side tool calling.
Streaming & DX Binary-normalized streams + Redux DevTools for debugging. SSE streams with polished hooks; strong Next.js integration.
UI Approach AI renders real app components you whitelist. Developers interpret outputs; AI Elements speeds up chat UI.
API Overview Choosing a Resource AI SDK