{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-assistant-ui--assistant-ui","slug":"assistant-ui--assistant-ui","name":"assistant-ui","type":"framework","url":"https://www.assistant-ui.com","page_url":"https://unfragile.ai/assistant-ui--assistant-ui","categories":["app-builders"],"tags":["ai-chatbot","chatbot","conversational-ai","copilot","radix-ui","react-chatbot","shadcn","ui-components","vercel-ai-sdk"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-assistant-ui--assistant-ui__cap_0","uri":"capability://text.generation.language.composable.chat.ui.component.primitives.with.headless.architecture","name":"composable chat ui component primitives with headless architecture","description":"Provides a system of unstyled, composable React components (Thread, Message, Composer, ActionBar) built on Radix UI primitives that can be assembled into custom chat interfaces without enforcing a specific visual design. Uses a context-based state management pattern where each component subscribes to a centralized store, enabling fine-grained control over rendering and behavior while maintaining separation of concerns between logic and presentation layers.","intents":["Build a custom chat UI that matches my brand without starting from scratch","Create specialized chat interfaces for different use cases (copilot, support, research) with shared logic","Integrate chat functionality into existing React applications with minimal style conflicts"],"best_for":["React developers building production chat applications","Teams needing white-label or highly customized chat UIs","Developers migrating from Vercel AI SDK or other chat libraries"],"limitations":["Requires React 16.8+ with hooks support; no class component API","Styling must be implemented by consumer (no default styles provided in core)","Component composition patterns have learning curve vs pre-built solutions"],"requires":["React 16.8+","TypeScript 4.5+ (for type safety, though JavaScript is supported)","Node.js 16+"],"input_types":["JSX/TSX component definitions","CSS-in-JS or external stylesheets","Component configuration objects"],"output_types":["Rendered React components","DOM elements with accessibility attributes"],"categories":["text-generation-language","ui-components"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_1","uri":"capability://text.generation.language.streaming.message.accumulation.with.throttling.and.chunk.based.protocol","name":"streaming message accumulation with throttling and chunk-based protocol","description":"Implements a streaming infrastructure (@assistant-ui/react-data-stream) that handles real-time message chunks from AI backends using a protocol-agnostic message format. Uses message accumulation with configurable throttling to batch incoming chunks, preventing excessive re-renders while maintaining perceived responsiveness. Supports both text streaming and structured tool call streaming with automatic conversion between different message formats (OpenAI, Anthropic, LangGraph).","intents":["Display AI responses as they stream without UI jank or excessive updates","Handle tool calls that arrive mid-stream and execute them without interrupting message flow","Support multiple AI backend formats (OpenAI, Anthropic, custom) with unified message handling"],"best_for":["Developers building real-time chat with streaming LLM responses","Teams integrating multiple AI backends with different message formats","Applications requiring low-latency message display with high throughput"],"limitations":["Throttling adds configurable latency (typically 50-200ms) between chunk batches","Requires backend to support streaming (SSE, WebSocket, or similar); incompatible with polling-only backends","Tool call streaming requires backend support for incremental tool definitions"],"requires":["Backend streaming endpoint (Server-Sent Events, WebSocket, or ReadableStream)","Message format compatible with OpenAI, Anthropic, or custom adapter","React 16.8+ with Suspense support for optimal streaming UX"],"input_types":["ReadableStream<Uint8Array>","Server-Sent Events (text/event-stream)","WebSocket messages","JSON-formatted message chunks"],"output_types":["Accumulated message objects with partial content","Tool call objects with streaming parameters","Structured message state updates"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_10","uri":"capability://text.generation.language.react.native.support.with.cross.platform.component.compatibility","name":"react native support with cross-platform component compatibility","description":"Provides React Native bindings (@assistant-ui/react-native) that enable building chat UIs for iOS and Android using the same component API as web. Uses React Native's native components (ScrollView, TextInput, etc.) under the hood while maintaining API compatibility with web components. Supports streaming, tool execution, and state management on mobile platforms with platform-specific optimizations for performance and battery life.","intents":["Build chat UIs for iOS and Android using React Native","Share chat logic between web and mobile applications","Deploy chat functionality to mobile platforms without rebuilding from scratch"],"best_for":["Teams building cross-platform chat applications with React Native","Developers wanting to share chat logic between web and mobile","Mobile-first applications requiring chat functionality"],"limitations":["React Native support is newer and may lack some web component features","Platform-specific styling requires custom implementation (no Tailwind CSS on mobile)","Performance on older devices may require optimization"],"requires":["React Native 0.70+","Expo or native build setup","Mobile platform SDK (iOS/Android)"],"input_types":["React Native component definitions","Platform-specific styling"],"output_types":["Native iOS/Android UI components","Platform-optimized rendering"],"categories":["text-generation-language","ui-components"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_11","uri":"capability://text.generation.language.terminal.ui.support.with.react.ink.for.cli.applications","name":"terminal ui support with react ink for cli applications","description":"Provides React Ink bindings (@assistant-ui/react-ink) that enable building chat UIs for terminal/CLI applications using the same component API as web and mobile. Uses React Ink's terminal rendering engine to display messages, composer input, and action bars in the terminal. Supports streaming, tool execution, and keyboard navigation optimized for terminal environments.","intents":["Build chat UIs for CLI applications and terminal-based tools","Create terminal-based AI assistants and copilots","Enable chat functionality in headless or server-side environments"],"best_for":["Developers building CLI tools and terminal applications","Teams creating terminal-based AI assistants","Applications requiring chat in headless environments"],"limitations":["Terminal rendering is limited compared to web/mobile (no rich formatting, limited colors)","Performance depends on terminal emulator capabilities","Complex UIs may be difficult to render in terminal constraints"],"requires":["Node.js 14+","Terminal with ANSI color support","React Ink 3.0+"],"input_types":["React Ink component definitions","Terminal-compatible styling"],"output_types":["Terminal-rendered UI","ANSI-formatted text"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_12","uri":"capability://code.generation.editing.cli.tool.and.codemod.system.for.scaffolding.and.migrations","name":"cli tool and codemod system for scaffolding and migrations","description":"Provides a CLI tool (@assistant-ui/cli) for scaffolding new chat projects, installing components, and running codemods for migrations. Uses AST-based transformations to automatically update code when upgrading between versions, handling breaking changes without manual refactoring. Supports interactive component installation with customization options and project template generation.","intents":["Scaffold a new chat project with sensible defaults and example code","Install pre-built components into an existing project","Automatically migrate code when upgrading assistant-ui versions","Generate example implementations for specific use cases"],"best_for":["Developers starting new projects with assistant-ui","Teams upgrading between major versions","Developers wanting quick scaffolding without manual setup"],"limitations":["Codemods may not handle all custom code patterns; manual review recommended","CLI requires Node.js and npm/pnpm; not available in browser environments","Component installation assumes standard project structure"],"requires":["Node.js 16+","npm or pnpm package manager","Existing React project (for component installation)"],"input_types":["CLI command arguments","Project configuration files","Source code for codemod transformation"],"output_types":["Scaffolded project structure","Installed components","Transformed source code"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_13","uri":"capability://text.generation.language.content.rendering.extensions.for.markdown.code.syntax.highlighting.and.custom.renderers","name":"content rendering extensions for markdown, code syntax highlighting, and custom renderers","description":"Provides pluggable content rendering system with built-in support for markdown (@assistant-ui/react-markdown) and code syntax highlighting (@assistant-ui/react-syntax-highlighter). Uses a renderer registry pattern where different content types (text, markdown, code, custom) can have custom rendering implementations. Supports streaming markdown rendering (progressive rendering as markdown arrives) and automatic language detection for code blocks.","intents":["Render markdown content in AI messages with proper formatting","Display code blocks with syntax highlighting for multiple languages","Support custom content types (e.g., charts, tables, interactive elements)","Progressively render markdown as it streams from the AI"],"best_for":["Chat applications displaying formatted content from AI responses","Research or documentation tools requiring rich text rendering","Applications with custom content types (charts, tables, etc.)"],"limitations":["Markdown rendering adds ~100-200ms per message due to parsing","Syntax highlighting requires language detection; incorrect detection may produce poor results","Custom renderers require understanding of the renderer registry pattern"],"requires":["Markdown parser library (e.g., remark, markdown-it)","Optional: syntax highlighter (e.g., Prism, highlight.js)"],"input_types":["Markdown text","Code blocks with language specification","Custom content type definitions"],"output_types":["Rendered HTML/React components","Syntax-highlighted code blocks","Custom rendered content"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_14","uri":"capability://planning.reasoning.devtools.and.mcp.documentation.server.for.debugging.and.introspection","name":"devtools and mcp documentation server for debugging and introspection","description":"Provides development tools (@assistant-ui/react-devtools) for debugging chat state, message flow, and component rendering. Includes an MCP (Model Context Protocol) documentation server that exposes assistant-ui's API and component documentation for AI-assisted development. DevTools UI shows real-time state updates, message history, and performance metrics. MCP server enables AI tools to query documentation and generate code.","intents":["Debug chat state and message flow during development","Inspect component rendering and re-render performance","Use AI tools to generate assistant-ui code with accurate API knowledge","Monitor streaming and tool execution in real-time"],"best_for":["Developers building complex chat applications","Teams using AI-assisted development with MCP","Debugging performance issues in chat UIs"],"limitations":["DevTools add overhead to bundle size and runtime performance; should be disabled in production","MCP server requires separate process; adds deployment complexity","Real-time state inspection may expose sensitive data"],"requires":["React 16.8+","Optional: MCP-compatible AI tool for code generation"],"input_types":["Chat state objects","Component props and configuration","MCP protocol messages"],"output_types":["DevTools UI with state visualization","Performance metrics","MCP documentation responses"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_15","uri":"capability://tool.use.integration.python.backend.libraries.for.server.side.integration","name":"python backend libraries for server-side integration","description":"Provides Python packages for building assistant-ui backends, including message format conversion, streaming utilities, and integration with Python AI frameworks (LangChain, LangGraph). Enables building chat backends in Python while using assistant-ui for the frontend, with automatic format conversion between Python and JavaScript representations. Supports streaming responses and tool execution from Python backends.","intents":["Build chat backends in Python while using assistant-ui for the frontend","Integrate Python AI frameworks (LangChain, LangGraph) with assistant-ui","Stream responses and tool calls from Python backends to JavaScript frontends","Share message format definitions between Python and JavaScript"],"best_for":["Teams using Python for AI/ML and JavaScript for frontend","Developers building LangChain or LangGraph backends with assistant-ui frontends","Full-stack applications requiring Python backend integration"],"limitations":["Python libraries are newer and may lack some JavaScript features","Format conversion between Python and JavaScript adds complexity","Requires separate Python backend process; adds deployment complexity"],"requires":["Python 3.9+","Optional: LangChain or LangGraph for AI framework integration"],"input_types":["Python message objects","Tool definitions in Python format","Streaming responses from Python backends"],"output_types":["Converted message objects for JavaScript","Streaming chunks in protocol-agnostic format","Tool call results"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_2","uri":"capability://tool.use.integration.tool.execution.and.human.in.the.loop.hitl.system.with.streaming.support","name":"tool execution and human-in-the-loop (hitl) system with streaming support","description":"Provides a runtime system for executing tool calls with built-in support for human approval workflows. Uses a tool registry pattern where tools are defined with schemas, execution handlers, and optional approval requirements. Supports streaming tool parameters (for tools that accept large inputs), automatic error handling with retry logic, and state management for tool execution status (pending, executing, completed, error). Integrates with the message streaming system to handle tool calls that arrive mid-stream.","intents":["Execute tools called by the AI with automatic parameter validation and error handling","Require human approval before executing sensitive tools (e.g., database writes, API calls)","Display tool execution status and results inline in the chat message stream","Handle tool calls with large or streaming parameters without blocking message display"],"best_for":["Developers building agentic chat applications with tool use","Teams requiring approval workflows for sensitive operations","Applications integrating with external APIs or databases through chat"],"limitations":["Tool execution is synchronous by default; async tools require wrapping in Promise-based handlers","HITL approval state is ephemeral (in-memory); requires custom persistence for audit trails","Tool schemas must be JSON Schema compatible; complex nested schemas may require manual optimization"],"requires":["Tool definitions with JSON Schema format","Backend handler functions for each tool","Optional: approval UI component for HITL workflows"],"input_types":["JSON Schema tool definitions","Tool call objects from AI response","User approval/rejection actions"],"output_types":["Tool execution results (JSON or text)","Tool error messages with retry information","Execution status updates"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_3","uri":"capability://tool.use.integration.multi.backend.runtime.abstraction.with.format.conversion","name":"multi-backend runtime abstraction with format conversion","description":"Abstracts the runtime layer to support multiple AI backends (Vercel AI SDK, LangGraph, custom implementations) through a unified interface. Uses adapter patterns to convert between different message formats (OpenAI, Anthropic, LangGraph) and provides runtime implementations that handle backend-specific details like streaming protocols, tool call formats, and error handling. The @assistant-ui/react-ai-sdk and @assistant-ui/react-langgraph packages provide pre-built adapters for common backends.","intents":["Switch between AI backends (e.g., OpenAI to Anthropic) without changing UI code","Use multiple backends simultaneously (e.g., different models for different tasks)","Build custom backend integrations with minimal boilerplate"],"best_for":["Teams evaluating or migrating between AI providers","Applications requiring multi-model support for cost optimization or capability diversity","Developers building custom AI backends (e.g., local models, proprietary systems)"],"limitations":["Format conversion adds ~50-100ms latency per message","Not all backend features map cleanly (e.g., some providers lack streaming tool calls)","Custom backend adapters require understanding of the runtime abstraction layer"],"requires":["Backend implementation (Vercel AI SDK, LangGraph, or custom)","Message format compatible with supported adapters or custom adapter implementation"],"input_types":["Backend-specific message formats","Tool call definitions in provider-specific schemas","Streaming responses in provider-specific formats"],"output_types":["Normalized message objects","Unified tool call format","Streaming chunks in protocol-agnostic format"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_4","uri":"capability://data.processing.analysis.attachment.and.file.handling.with.adapter.system","name":"attachment and file handling with adapter system","description":"Provides a pluggable attachment system for handling file uploads, previews, and processing. Uses an adapter pattern where different file types (images, documents, code) can have custom handlers for preview rendering and content extraction. Supports both client-side and server-side processing, with automatic MIME type detection and validation. Attachments are integrated into the message stream and can be referenced by tool calls.","intents":["Allow users to upload files and images to include in chat messages","Display previews of attachments inline in the message thread","Extract content from attachments (e.g., OCR for images, text extraction from PDFs) for AI processing","Validate file types and sizes before upload"],"best_for":["Chat applications requiring document or image analysis","Teams building research or productivity tools with file support","Applications integrating with vision models or document processing APIs"],"limitations":["Client-side processing limited by browser capabilities; large files require server-side handling","Preview rendering depends on available adapters; unsupported file types show generic icons","File size limits enforced at application level; no built-in chunking for very large files"],"requires":["File input element or drag-drop handler","Optional: custom adapters for specific file types","Server-side endpoint for file processing (if needed)"],"input_types":["File objects from input or drag-drop","Blob data","Base64-encoded file content"],"output_types":["Attachment metadata objects","Preview elements (images, code blocks, etc.)","Extracted content (text, structured data)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_5","uri":"capability://memory.knowledge.context.based.state.management.with.react.hooks.api","name":"context-based state management with react hooks api","description":"Implements a centralized state management system (@assistant-ui/store) using React Context and custom hooks, providing access to chat state (messages, thread, composer input) without prop drilling. Uses a subscription-based pattern where components subscribe to specific state slices, enabling fine-grained re-render optimization. Provides hooks like useThreadState, useMessageState, useComposerState for accessing and mutating state, with built-in support for undo/redo and message editing.","intents":["Access chat state (messages, thread ID, composer input) from any component without prop drilling","Update chat state (add message, edit message, clear thread) with type-safe hooks","Implement undo/redo functionality for message editing and composition","Optimize re-renders by subscribing to specific state slices"],"best_for":["React developers building complex chat UIs with many nested components","Teams requiring fine-grained control over state updates and re-renders","Applications needing undo/redo or message editing capabilities"],"limitations":["Context-based state management adds ~10-20ms overhead per state update vs direct Redux","Subscription pattern requires understanding of React Context and custom hooks","State is ephemeral (in-memory); requires custom persistence for message history"],"requires":["React 16.8+ with hooks support","ThreadProvider wrapper component at root of chat UI"],"input_types":["State update actions (add message, edit message, etc.)","Component configuration objects"],"output_types":["State objects (messages array, thread ID, composer input)","Update functions (addMessage, editMessage, etc.)"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_6","uri":"capability://memory.knowledge.message.threading.and.conversation.history.management","name":"message threading and conversation history management","description":"Provides a thread-based message storage system that organizes conversations into threads with support for branching, editing, and deletion. Uses an immutable message tree structure where each message has a unique ID and optional parent reference, enabling non-linear conversation flows (e.g., exploring alternative AI responses). Supports message editing with automatic history tracking and deletion with cascade behavior. Thread state is managed centrally and can be persisted to external storage.","intents":["Organize chat messages into threads with support for multiple conversations","Edit or delete messages and automatically update dependent messages","Explore alternative AI responses by branching conversations","Persist conversation history to database or local storage"],"best_for":["Chat applications requiring conversation management and history","Research or analysis tools where exploring alternatives is important","Teams building multi-turn conversation systems"],"limitations":["Thread state is in-memory by default; requires custom persistence layer for durability","Branching conversations can create complex message trees; UI must handle visualization","No built-in conflict resolution for concurrent edits"],"requires":["ThreadProvider component wrapping chat UI","Optional: persistence layer (database, local storage, etc.)"],"input_types":["Message objects with content and metadata","Thread ID for organizing messages","Edit/delete actions with message IDs"],"output_types":["Ordered message arrays for display","Thread metadata (ID, created date, etc.)","Message history for undo/redo"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_7","uri":"capability://text.generation.language.pre.built.component.registry.with.shadcn.ui.integration","name":"pre-built component registry with shadcn/ui integration","description":"Provides a registry of pre-built, styled chat components (Thread, Message, Composer, ActionBar) built on shadcn/ui and Radix UI primitives. Components are fully customizable through props and CSS, with automatic dark mode support and accessibility features (ARIA labels, keyboard navigation). The component registry system allows registering custom components to override defaults, enabling white-label implementations. Components are available as copy-paste code (shadcn-style) or npm packages.","intents":["Get started quickly with pre-built, styled chat components","Customize component appearance through props and CSS without forking","Use shadcn/ui design system for consistency with other UI components","Override specific components while reusing others"],"best_for":["Teams using shadcn/ui or Radix UI in their projects","Developers wanting quick start with styled components","Applications requiring dark mode and accessibility out-of-the-box"],"limitations":["Pre-built components are opinionated (based on shadcn/ui design); heavy customization may require building from primitives","Component registry system adds ~50KB to bundle size","Dark mode requires Tailwind CSS or equivalent CSS-in-JS setup"],"requires":["React 16.8+","Tailwind CSS or CSS-in-JS for styling","Optional: shadcn/ui components for consistency"],"input_types":["Component props (className, variant, etc.)","Custom component implementations for registry override"],"output_types":["Rendered React components with styling","Accessible DOM elements with ARIA attributes"],"categories":["text-generation-language","ui-components"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_8","uri":"capability://tool.use.integration.vercel.ai.sdk.integration.with.unified.streaming.and.tool.support","name":"vercel ai sdk integration with unified streaming and tool support","description":"Provides a pre-built adapter (@assistant-ui/react-ai-sdk) that integrates with Vercel AI SDK's useChat and useCompletion hooks, handling message streaming, tool calling, and provider abstraction. Automatically converts between Vercel AI SDK's message format and assistant-ui's internal format, enabling seamless use of Vercel's provider ecosystem (OpenAI, Anthropic, Cohere, etc.). Supports streaming tool calls and automatic tool execution through the HITL system.","intents":["Use Vercel AI SDK's provider ecosystem with assistant-ui components","Stream messages and tool calls from Vercel AI SDK without manual format conversion","Leverage Vercel's multi-provider support for cost optimization or capability diversity"],"best_for":["Teams already using Vercel AI SDK in their projects","Developers wanting to upgrade from Vercel's basic chat UI to assistant-ui components","Applications requiring multi-provider support through Vercel"],"limitations":["Requires Vercel AI SDK 3.0+; older versions not supported","Some Vercel AI SDK features may not map cleanly to assistant-ui (e.g., custom streaming protocols)","Tool calling support depends on Vercel AI SDK version"],"requires":["Vercel AI SDK 3.0+","API key for at least one Vercel-supported provider (OpenAI, Anthropic, etc.)"],"input_types":["Vercel AI SDK useChat/useCompletion hook configuration","Provider-specific message formats"],"output_types":["Normalized message objects","Streaming chunks in assistant-ui format"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-assistant-ui--assistant-ui__cap_9","uri":"capability://planning.reasoning.langgraph.integration.with.graph.based.workflow.support","name":"langgraph integration with graph-based workflow support","description":"Provides a pre-built adapter (@assistant-ui/react-langgraph) that integrates with LangGraph for complex, graph-based AI workflows. Handles streaming of graph execution events, tool call execution within the graph context, and automatic message extraction from graph state. Supports both synchronous and asynchronous graph execution with real-time status updates. Enables building multi-step agentic workflows with branching, loops, and conditional logic.","intents":["Build complex, multi-step AI workflows using LangGraph's graph abstraction","Stream graph execution events and tool calls in real-time to the UI","Execute tools within the context of a larger workflow graph","Display workflow progress and intermediate results to users"],"best_for":["Teams building complex agentic applications with LangGraph","Developers requiring graph-based workflow orchestration","Applications with multi-step reasoning or planning requirements"],"limitations":["Requires understanding of LangGraph's graph abstraction and state management","Graph execution can be slow for complex workflows; UI must handle loading states","Message extraction from graph state requires custom configuration"],"requires":["LangGraph 0.1.0+","LangChain Python library (for graph definition)","Backend endpoint exposing LangGraph graph"],"input_types":["LangGraph graph definition","Graph execution events (streaming)","Tool call results"],"output_types":["Extracted messages from graph state","Tool call objects","Graph execution status updates"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":51,"verified":false,"data_access_risk":"high","permissions":["React 16.8+","TypeScript 4.5+ (for type safety, though JavaScript is supported)","Node.js 16+","Backend streaming endpoint (Server-Sent Events, WebSocket, or ReadableStream)","Message format compatible with OpenAI, Anthropic, or custom adapter","React 16.8+ with Suspense support for optimal streaming UX","React Native 0.70+","Expo or native build setup","Mobile platform SDK (iOS/Android)","Node.js 14+"],"failure_modes":["Requires React 16.8+ with hooks support; no class component API","Styling must be implemented by consumer (no default styles provided in core)","Component composition patterns have learning curve vs pre-built solutions","Throttling adds configurable latency (typically 50-200ms) between chunk batches","Requires backend to support streaming (SSE, WebSocket, or similar); incompatible with polling-only backends","Tool call streaming requires backend support for incremental tool definitions","React Native support is newer and may lack some web component features","Platform-specific styling requires custom implementation (no Tailwind CSS on mobile)","Performance on older devices may require optimization","Terminal rendering is limited compared to web/mobile (no rich formatting, limited colors)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.6601915881629384,"quality":0.35,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.549Z","last_scraped_at":"2026-05-03T13:58:39.623Z","last_commit":"2026-05-03T13:46:51Z"},"community":{"stars":9887,"forks":1005,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=assistant-ui--assistant-ui","compare_url":"https://unfragile.ai/compare?artifact=assistant-ui--assistant-ui"}},"signature":"PaR4/k7N+1e6IvBoD4maSyiFhWonH/ViRZzhnRfsCzhvT4EnRR5V7GiC9wCk+36jiNUcYBiOY08s4fADLt0iCA==","signedAt":"2026-06-21T00:18:04.345Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/assistant-ui--assistant-ui","artifact":"https://unfragile.ai/assistant-ui--assistant-ui","verify":"https://unfragile.ai/api/v1/verify?slug=assistant-ui--assistant-ui","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}