The Generative UI framework. Contribute to vercel-labs/json-render development by creating an account on GitHub.
Generative UI: A rich, custom, visual interactive user experience for any prompt
Yaniv Leviathan, Google Fellow, Dani Valevski, Senior Staff Software Engineer, Vishnu Natchu, Principal Engineer, and Yossi Matias, Vice President & Head of Google Research
Awesome Generative UI - AI-Powered User Interface Generation Resources
Discover the best Generative UI resources: research papers, real-world cases, video tutorials, and open-source projects about AI-driven dynamic interface generation. Explore how LLMs like Gemini, Claude, and GPT are revolutionizing UI/UX design.
Reverse-engineering Claude's generative UI - then building it for the terminal
Extracting Anthropic's design system from a conversation export and rebuilding generative UI for the terminal.
Why Generative UI Is the New Frontier for Business Software
In an era where AI constructs UIs on the fly, discover how SAP is tapping generative UI to reimagine how works gets done.
Generative UI: The AI agent is the front end
In a new model for user interfaces, agents paint the screen with interactive UI components on demand. Let’s take a look.
Artifacts - Generative UI
Discover LibreChat's revolutionary Artifacts feature for instant creation of React components, HTML code, and Mermaid diagrams.
WaveringAna/atproto-ui
A React component library for rendering common AT Protocol records for applications such as Bluesky and Leaflet.
The Generative Stack - The Phoenix Architecture
Trying to find the best tool or platform for generative software in 2026 is a mistake that could haunt you for decades
Mariano Guerra (@marianoguerra.org)
Capability-Based Generative User Interfaces Using the WebAssembly Component Model This demo shows how to load components dynamically and execute them safely inside a single web app—without iframes or limited JSON protocols www.youtube.com/watch?v=RoYF... 1/
fx – a terminal JSON viewer & processor
A terminal viewer & processor for JSON, YAML, & TOML (TUI and CLI)
Macaron-A2UI: A Model for Generative UI in Personal Agents
As personal agents evolve to handle complex, user-centric tasks, static plain-text chat is rapidly becoming a bottleneck. Generative UI emerges as the necessary new interface layer, dynamically synthesizing the right controls, options, and state from the interaction context in real time. We present Macaron-A2UI, a model for Generative UI in personal agents. Our goal is to move beyond text-only interaction by enabling agents to generate natural language together with lightweight, executable UI actions for information collection, preference refinement, confirmation, and multi-goal organization. We build a large-scale Generative UI corpus from heterogeneous dialogue sources, introduce A2UI-Bench for controlled evaluation, and train 30B, 235B and 754B models with parameter-efficient LoRA-based supervised fine-tuning followed by reward-driven reinforcement learning. The best Macaron-A2UI model reaches 75.6 overall on A2UI-Bench without explicit schema hints, surpassing the strongest full-schema frontier baseline. We release the models, benchmark, and evaluation protocol to support future work on Generative UI for personal agents.
Shaders
Component library for creative WebGPU effects in modern frontend frameworks. Compose interactive visuals for Vue, React, Svelte and Solid.
Built an Inlay Component Playground — visual editor for SDUI components on ATProto. Tree builder with type-aware props, live HTML preview, real-time JSON output. Load existing components from AT URIs or publish new ones to your PDS. inlay-playground.filae.workers.dev
