Embed a themeable AI chat widget into any website
A framework-agnostic TypeScript chat widget that adds streaming AI assistant UI to any website with built-in voice, tools, and theming support.
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Why it matters
Enable developers to quickly add a production-ready AI assistant interface to their website or application without building chat UI from scratch, supporting streaming responses, voice input/output, tool calls, and multi-modal content across any backend or framework.
Outcomes
What it gets done
Drop a zero-dependency TypeScript chat widget into any site with script tag or npm install
Stream AI responses with tool call visualization, approval gates, and artifact rendering
Connect the widget to any SSE-capable backend using pre-built adapters for Vercel AI SDK, OpenAI, LangGraph, and more
Customize themes, layouts (floating, docked, fullscreen), and behavior through a declarative plugin system
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/runtypelabs-persona | bash Overview
Persona
Persona is a TypeScript-based AI chat widget with zero framework dependencies that provides streaming chat, voice I/O, tool visualization, and artifact rendering for any website. Use Persona when you need a lightweight, framework-agnostic AI chat interface that works alongside existing frontend frameworks and connects to any SSE-capable backend. Skip it if you prefer JSX-based AI component libraries.
What it does
Persona is a drop-in AI chat widget for websites, built in TypeScript with zero framework dependencies and rendered using Vanilla JS. It provides a complete UI for AI assistants with streaming responses, voice input/output, tool call visualization with approval gates, artifact rendering, safe markdown/HTML rendering, and a plugin system for customizing every layer of the UI. The widget works with any SSE-capable backend and ships with support for WebMCP/page tools, built-in local client tools, and multi-modal content.
When to use - and when NOT to
Use Persona when you want to create AI experiences quickly within your site or app using plain TypeScript/JavaScript hooks, configured in a declarative manner. It works alongside existing React, Vue, or any other frontend framework. The widget is ideal for layering AI chat on top of what's already been built, as it's lightweight and framework-agnostic.
Do NOT use Persona if you strongly prefer building AI interfaces with JSX - in that case, the source recommends checking out Assistant UI, CopilotKit, or Vercel's AI Elements instead.
Inputs and outputs
Users provide an SSE-capable backend endpoint and configuration options for layout, theming, and behavior. The widget is available as an npm package:
npm install @runtypelabs/persona
The widget supports multiple layout configurations through the launcher config parameter, including floating launchers, docked panels, and fullscreen modes. Users receive a fully functional chat interface with streaming responses, tool execution visualization, voice capabilities, and artifact rendering.
Integrations
Persona integrates with multiple backend frameworks and platforms:
- Vercel AI SDK: Minimal SSE adapters for AI SDK and OpenAI Responses
- OpenAI Agents SDK: Official
@openai/agentsbackend integration - LangGraph.js: LangChain's
@langchain/langgraphorchestration framework - Vercel Eve: Filesystem-first agent framework (beta, requires Node 24)
- Hono: Runs on Node, Bun, Deno, and Cloudflare Workers
- Express: Callback-style host with request/response bridge
- SvelteKit: One-line Web-standard route integration
- Next.js: Multiple examples including WebMCP page tools
The repository includes an optional Hono-based proxy server package (@runtypelabs/persona-proxy) for flow configuration. Examples demonstrate both self-hosted backends and hosted backend configurations.
Who it's for
Persona is designed for developers who want to add AI chat capabilities to existing websites or applications without framework lock-in. It serves frontend engineers working with plain TypeScript/JavaScript, teams building on top of React/Vue/other frameworks who need a lightweight AI layer, and developers who prefer declarative configuration over JSX-based approaches. The widget's backend-agnostic design makes it suitable for teams using various AI SDKs and hosting platforms, from serverless functions to traditional Node servers.
Source README
A themeable, pluggable AI chat widget for websites: built in TypeScript with zero framework dependencies. It renders using Vanilla JS. Its initial bundle tries hard to be small.
Persona gives you a drop-in UI for your AI assistant that works on basically any site or product on the web. It ships with support for streaming responses, direct client-token installs, WebMCP/page tools, built-in local client tools, voice I/O, multi-modal content, tool call visualization, approval gates, artifact rendering, safe markdown/HTML rendering, and a plugin system so you can customize every layer of the UI.
Persona works with any SSE-capable backend. See the "examples" section below for pre-built framework / platform / frontend combos.
Built something cool that you'd like to contribute back? Awesome! We'd love that.
Live demo
persona-chat.dev hosts the interactive showcase: streaming chat, voice, docked and fullscreen layouts, themes, tool calls, artifacts, and more. It's the hosted version of apps/web. To run the same pages on your machine with hot reload while you edit code, run pnpm dev from the repository root: the Vite dev server reloads the demo, and the app resolves @runtypelabs/persona from the workspace (packages/widget), so widget changes apply without publishing to npm.
When should you use this?
If you want to create AI experiences quickly within your site or app, configured in a declarative manner, and love building with plain TS/JS hooks... Persona will be one of your best friends!
This includes layering on top of what's already been built with React, Vue, or any other FE framework. Persona is lightweight and is built to work alongside.
That said, if you really don't like the idea of building AI without JSX... you probably want to check out Assistant UI, CopilotKit, or Vercel's AI Elements. No worries, Persona still thinks you are cool.
Packages
| Package | npm | Description |
|---|---|---|
packages/widget |
@runtypelabs/persona |
The installable chat widget |
packages/proxy |
@runtypelabs/persona-proxy |
Optional Hono-based proxy server for flow configuration |
Apps
| App | Platform | Description |
|---|---|---|
apps/web |
Vite | The Persona showcase: 35+ interactive demo pages (live) |
Examples
| Example | Platform | Description |
|---|---|---|
examples/ai-sdk-webmcp |
Next.js | WebMCP page tools using Vercel AI SDK (live) |
examples/ai-sdk-next |
Next.js | Minimal SSE adapters for AI SDK and OpenAI Responses |
examples/eve-next |
Next.js | Vercel eve agent backend (beta; needs Node 24 + a running eve server) |
examples/openai-agents-next |
Next.js | OpenAI Agents SDK (@openai/agents) backend |
examples/langgraph-next |
Next.js | LangGraph.js (@langchain/langgraph) backend |
examples/echo-hono |
Hono | Host matrix: same adapter on Hono (Node/Bun/Deno/Workers) |
examples/echo-script-tag |
Bare HTML + node:http |
Host matrix: zero-framework <script> install + bare Node backend |
examples/echo-express |
Express | Host matrix: the (req, res) callback-style bridge |
examples/echo-sveltekit |
SvelteKit | Host matrix: one-line +server.ts Web-standard route |
examples/runtype-script-tag |
Static / Runtype | Hosted backend: a clientToken embed with no backend at all |
examples/runtype-hono-proxy |
Hono (Node / Vercel / Workers) | Runtype API proxy: powers local dev and proxy.persona-chat.dev |
Bring Your Own Backend
Persona is designed to be backend-agnostic. You can plug it into any streaming agent or model SDK using the Persona SSE protocol.
Prefer not to run a backend at all? examples/runtype-script-tag embeds the widget against a hosted Runtype backend with a browser-safe clientToken. No server code: the direct counterpart to the self-hosted echo-script-tag example.
Featured Adapters
Backend adapters in this repo, each emitting Persona's SSE wire from a different SDK:
- Vercel Eve: Vercel's filesystem-first agent framework (beta; Node 24 + a running eve server).
- OpenAI Agents: Official OpenAI Agents SDK integration.
- LangGraph.js: LangChain's orchestration framework.
- AI SDK & OpenAI Responses: Minimal stream adapters, plus choosing a model/assistant with
target.
More adapters (Anthropic Claude Agent SDK, Google Gen AI, Mastra, Cloudflare Agents) live in runtypelabs/persona-examples.
Host Matrix
The adapter is a plain Web (Request) => Response, so it runs anywhere, not just React. These four examples re-host the same canonical agent: each uses the same persona-wire.ts and adapter, and only the thin host wrapper changes. Diff them to see exactly what each framework needs (and what it gives you for free). All four run with no API key (a zero-dependency echo agent, with a documented one-line swap to a real model).
- Hono: one
app.fetchhandler that runs on Node, Bun, Deno, and Cloudflare Workers. - Bare HTML +
<script>: no framework, no bundler: the drop-in script-tag install over a barenode:httpbackend. - Express: the callback-style host. It shows the
(req, res)โ WebResponsebridge. - SvelteKit: a one-line Web-standard
+server.tsroute.
Protocol Documentation
- WebMCP without Runtype: Deep dive into shimming the Persona protocol over the Vercel AI SDK.
- Adapter SDK Minimal: Minimal reference implementations for AI SDK and OpenAI Responses, including choosing a model/assistant with
target.
Quick Start
corepack enable
pnpm install
pnpm dev
This starts the proxy on http://localhost:43111 and the demo app at http://localhost:5173. Both depend on the local widget package via workspace linking, so changes hot-reload without publishing.
Note: Requires Node.js 20+ (
nvm usereads.nvmrc). Corepack manages pnpm for you.
Install from npm
npm install @runtypelabs/persona # widget
npm install @runtypelabs/persona-proxy # proxy (optional)
Three primary layouts
While Persona supports much more, the majority of the frontend AI experiences you see fit into the three buckets below. We recommend starting here.
You move between them by changing the launcher config:
- Floating (the default): a launcher in the corner that opens a floating panel. The entry point for support, docs, sales, or onboarding, no layout config required.
- Docked: a copilot docked beside your app. Wrap a page region and reveal a side panel that resizes, pushes, or overlays your layout.
- Fullscreen: a full-height assistant that owns the page. Fill a container as an app surface, with an optional artifact split.
With npm (any bundler):
import { initAgentWidget } from "@runtypelabs/persona";
// 1. Floating: the launcher in the corner is the default
initAgentWidget({ target: "#chat", config: { apiUrl } });
// 2. Docked: wrap a region, reveal a side panel
initAgentWidget({
target: "#workspace",
config: { apiUrl, launcher: { mountMode: "docked", dock: { side: "right", width: "420px" } } },
});
// 3. Fullscreen: turn the launcher off, let the widget own the page
initAgentWidget({
target: "#app",
config: { apiUrl, launcher: { enabled: false, fullHeight: true } },
});
Or with a script tag (no build step): the same config via window.siteAgentConfig, and the installer loads the widget and its CSS for you. Swap in the same launcher field for docked or fullscreen.
<script>
window.siteAgentConfig = {
target: "#chat",
apiUrl: "https://your-api.com/chat",
// floating launcher is the default
};
</script>
<script src="https://cdn.jsdelivr.net/npm/@runtypelabs/persona@4/dist/install.global.js"></script>
See the live launcher, docked panel, and fullscreen assistant demos. The widget configuration reference covers mountMode, every dock.reveal mode (resize, emerge, overlay, push), and the docked height contract.
Features
Everything below is opt-in and configurable via the widget config, feature flags, or the plugin system.
Streaming Chat
SSE-based message streaming with pluggable parsers (plain text, JSON, XML, regex). Bring your own stream parser or use the built-ins. Supports partial JSON parsing for incomplete chunks, configurable dispatch-failure copy via errorMessage, and optional stream reveal animations (typewriter, letter-rise, word-fade, wipe, glyph-cycle, pop-bubble, or custom plugins).
Multi-Modal Content
Text, images (PNG, JPEG, GIF, WebP, SVG), and documents (PDF, DOCX, TXT, CSV, JSON, Excel). Configure allowed file types, size limits, and previews through the attachments config.
Voice Input & Output
Optional speech-to-text via the Web Speech API or Runtype's WebSocket voice service with barge-in interruption and voice activity detection. Text-to-speech playback for assistant responses: auto-speak via textToSpeech, or a per-message "Read aloud" button with play/pause/resume via messageActions.showReadAloud. TTS is backed by a pluggable SpeechEngine (browser Web Speech API by default, or a hosted engine via textToSpeech.createEngine). Enable via voiceRecognition and textToSpeech.
Reasoning & Extended Thinking
Collapsible reasoning bubbles that display model chain-of-thought with duration tracking and streaming. Controlled by features.showReasoning: on by default, or override the renderer with a plugin hook.
Tool Calls, Approvals & Local Client Tools
Expandable tool call bubbles showing name, status, arguments, and results, with compact display modes, active previews, grouping, and loading animations. Optional human-in-the-loop approval bubbles include friendly summaries, hidden/collapsed technical details, agent-stated reasons, and custom approve/deny handlers. Built-in LOCAL client tools (ask_user_question and suggest_replies) can be advertised from the widget with features.askUserQuestion.expose and features.suggestReplies.expose.
Artifacts
Optional side-panel for rendering markdown and component content. Desktop split layout (resizable) or mobile drawer. Enable via features.artifacts, configure toolbar presets, copy behavior, and appearance.
Event Stream Inspector
Optional real-time event capture with search/filter, badge coloring, timestamps, expandable payloads, and output-throughput diagnostics. Enable via features.showEventStreamToggle. Customize rows, toolbar, and payload rendering through plugin hooks.
Composer, Scrolling & Keyboard Shortcuts
Enter sends a message (Shift+Enter for a newline) and is inert while a response is streaming: it never interrupts generation. Press Esc within the widget to stop an in-flight response (the visible Stop button does the same). Up/Down navigate previously sent messages for quick re-entry or editing: entered only when the caret is at the start of the input, so multi-line editing is preserved, and your in-progress draft is restored when you page back to the present. History navigation is on by default; disable via features.composerHistory: false. Streaming scroll behavior is configurable with features.scrollBehavior (follow, anchor-top, or none), and the shared scroll-to-bottom affordance shows a new-message count while you're scrolled away.
Themes & Styling
Light and dark themes included. Full design token system (palette, semantic, component-level) with CSS variable support. Extend with built-in plugins for accessibility, reduced motion, high contrast, and branding, or create your own.
Layout, Docking & Fast Script Installs
Start from a built-in preset (shop, minimal, fullscreen) or configure from scratch. Header layouts, message layouts, avatars, timestamps, and slot-based rendering are all customizable. Dock as a floating widget, wrap a page region with a side panel (resize, emerge, overlay, or push reveals with a dock.maxHeight viewport guard), or embed inline. Script-tag installs paint a tiny real launcher first and defer the full panel bundle until first open when the config allows it.
Plugin System
14 render hooks covering the launcher, header, composer, messages, reasoning, tool calls, ask-user-question sheets, approvals, loading/idle indicators, and the event stream. Priority-based ordering with automatic fallback to defaults. Replace any piece of the UI without forking; use the optional @runtypelabs/persona/plugin-kit helpers for Shadow-DOM-safe styles and popovers.
Extending Persona
Persona ships various ways to extend it. Plugins, an inline component registry, postprocessors, theme plugins, stream parsers and animations, voice providers, sanitization hooks, action parsers/handlers, context providers/WebMCP, layout slots, and a storage adapter are all replaceable seams. The Extending Persona guide maps every extension point to its public API and deep-dive doc; Authoring Plugins covers building your own.
Component System
Register custom components and render them inline via directives. Stream-aware parser and middleware support dynamic UI insertion during streaming, with live DOM element hydration so event listeners survive transcript re-renders.
Message Injection, Context & Page Tools
Programmatically insert messages (injectMessage, injectAssistantMessage, injectUserMessage, injectSystemMessage) with dual-content support: display one thing to the user while sending different content to the LLM. Inject page/editor context with contextProviders and requestMiddleware; use webmcp: { enabled: true } to expose page actions through document.modelContext. For richer page context, import the optional @runtypelabs/persona/smart-dom-reader provider.
Extending & contributing
Built a plugin, theme, backend adapter, or product with Persona? See the
extensibility map (EXTENDING.md) and
CONTRIBUTING.md. While Persona is launching, please
contribute customizations back to this monorepo as demos, examples, docs, or
package changes so the ecosystem grows in one place.
Proxy Deployment
Both proxy examples handle secure API key management, CORS, and multiple flow configurations.
- runtype-hono-proxy: Runtype API proxy on Hono. Node (
pnpm dev), Vercel (api/), or Cloudflare Workers (pnpm dev:runtype-workers)
Publishing
This monorepo uses Changesets for version management.
pnpm changeset # create a changeset after making changes
pnpm changeset version # bump versions and generate changelogs
pnpm release # maintainer-only release workflow
See packages/widget/README.md for the full configuration reference.
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