syntux
Generative UI Library for React
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What is syntux?
syntux is a production-ready, generative UI library for the web that automatically generates user interfaces from data. You provide a value (anything from analytics to social media feeds to empty objects) and a small hint about how the UI should look, and syntux uses an LLM to design the appropriate interface to display that data. The library is optimized for websites, not chatbots, and is built specifically for React and Next.js.
The core innovation is React Interface Schema (RIS), a JSON-based DSL that syntux generates internally instead of source code. This schema describes UI element types, properties, and parent-child relationships, binding to data properties rather than hardcoding values. This makes the same schema reusable with different values, providing both consistency and flexibility. The library supports streaming rendering so UI appears as the LLM responds, caching to reuse generated interfaces, custom React components, and server actions defined declaratively.
syntux is designed for frontend developers building React/Next.js applications who want to display data dynamically without manually creating every form field or layout. It's particularly useful for dashboards, analytics displays, social media feeds, and any application needing context-aware, personalized interfaces. The library is free forever under MIT license, takes 5 minutes to get started with, and supports all LLM providers through Vercel AI SDK including Claude, Anthropic, and others.
syntux pricing
Pricing model: Freemium
Free forever, licensed under MIT. The library is open source software with no paid plans. All functionality is available at no cost, including streaming, caching, custom components, and support for all LLM providers through Vercel AI SDK.
syntux pros
- Free forever under MIT license
- Get started in just 5 minutes
- Optimized for React and React Server Components
- Supports streaming UI rendering
- Cacheable generated interfaces for reuse
- Secure JSON-DSL to UI transformation
- Customizable with custom React components
- Token-efficient custom DSL output
- Works with all LLM providers via Vercel AI SDK
- Built-in iterators in JSON-DSL schema
- Scales efficiently - same cost for 10 or 10,000 items
- Single GeneratedUI component with all functionality
- Server actions defined declaratively with defineTool
- Does not generate source code, only schema
- Production-ready and open source
- Consistent and flexible generative UIs
- Context-aware interfaces generated on-the-fly
- Auto-generates component definitions with npx getsyntux generate-defs
syntux cons
- Still in beta with potential API changes
- Requires installing separate LLM provider packages
- Limited to React and Next.js ecosystems only
- Custom components must be stateless or wrapped
- LLM dependency introduces potential latency
- Requires npm i ai and provider packages setup
- Generative UI may produce inconsistent results
- Custom DSL learning curve for developers
- Beta status means limited community support
Frequently asked questions about syntux
What is syntux?
syntux is a production-ready, generative UI library for the web that generates user interfaces from data. You give it a value and a hint about how the UI should look, and it uses an LLM to design the appropriate interface to display that data. It is optimized for websites, not chatbots, and is built for React and Next.js.
What is generative UI?
Generative UI is the concept of using LLMs to generate user interfaces that are context-aware and generated on-the-fly. While traditional UIs are static and the same regardless of user or goal, generative UI creates personalized interfaces - for example, showing a more advanced interface for experts versus a simpler one for beginners.
What is React Interface Schema (RIS)?
React Interface Schema is a JSON-based DSL (Domain Specific Language) that syntux generates internally instead of source code. It is a list of JSON objects describing each UI element's type, properties, and parent-child relationships. Values are bound to data properties rather than hardcoded, making the same schema reusable with different values.
How do I install syntux?
Installation takes one command: run npx getsyntux@latest in the root of your project. This automatically installs required components in the lib/getsyntux folder. You also need to install the Vercel AI SDK with npm i ai, and then install specific model providers like npm i @ai-sdk/anthropic for Claude.
Which LLM providers does syntux support?
syntux supports all LLM providers through the Vercel AI SDK, including Claude (Anthropic), and others. You install the specific provider package you need, such as @ai-sdk/anthropic for Claude, and pass the model to the GeneratedUI component using model={anthropic('claude-sonnet-4-5')}.
Can I use custom React components with syntux?
Yes, syntux supports custom React components. You register your own components and the AI learns to use them. Use npx getsyntux generate-defs <component.tsx> to automatically generate component definitions. For stateful components, wrap non-stateful components in stateful ones before passing them as custom components.
How does caching work in syntux?
syntux allows you to cache generated RIS schemas for reuse. Use the onGenerate callback to receive the schema and store it in memory or a database. Then pass it back using the cached attribute to reuse previously generated interfaces instead of regenerating them, improving performance and reducing LLM costs.
How does streaming work?
syntux supports streaming UI rendering, which shows the UI generation process in real-time. As the LLM response comes in, the UI is drawn progressively. This provides a better user experience by showing progress rather than waiting for the complete interface to be generated.
Is syntux token efficient?
Yes, syntux is highly token-efficient due to its custom DSL output. If you provide an array value with 10,000 items, it costs the same as one with 10 items. The JSON-DSL schema has built-in iterators and works efficiently for different values without proportional cost increases.
What data can syntux display?
syntux can display any data - analytics, social media feeds, empty objects, or anything else. You can put objects, arrays, or primitive values in the value prop. It is designed specifically to display data, and this focus on data display is what makes it token-efficient and scalable.