A framework for building AI agents that run in the browser, with support for Angular and React.
Hashbrown is a framework for building AI agents that operate directly in the browser. It enables developers to embed intelligence into React or Angular applications, allowing features like generating user interfaces, converting natural language into structured data, and predicting user actions. The framework provides core primitives and framework-specific wrappers to integrate LLMs seamlessly into frontend components.
Frontend developers building React or Angular applications who want to incorporate AI-driven features like chatbots, data extraction, or dynamic UI generation without extensive backend complexity.
Developers choose Hashbrown for its framework-specific integrations with Angular and React, consistent API across multiple LLM providers, and the ability to handle complex AI tasks directly in the browser with minimal setup.
Hashbrown is a framework for building agents that run the browser. Built for Angular and React.
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Provides dedicated packages for React and Angular, allowing easy embedding into component lifecycles with minimal boilerplate, as shown in the provider setup examples.
Wraps diverse SDKs like OpenAI, Anthropic, and Gemini into a consistent API, offering flexibility in model choice without vendor lock-in, per the supported providers list.
Enables complex interactions such as structured data extraction, tool calling, and code generation directly in the UI, demonstrated in the sample apps like the finance demo.
Leverages LLM capabilities to handle multiple languages for inputs and outputs, making it suitable for international applications, as noted in the features section.
Requires a Node server for LLM calls with HTTP streaming setup, adding deployment and maintenance overhead compared to purely client-side libraries.
The README admits that older or smaller LLMs may not support all features, restricting the use of cost-effective or specialized models in some scenarios.
Only supports React and Angular, forcing developers using other popular frameworks like Vue or Svelte to seek alternatives or custom integrations.