12 Best shadcn/ui AI Chat & LLM Dashboard Templates 2026

Looking for the best shadcn/ui AI chat & LLM dashboard templates? These 12 production-ready options cover everything from full ChatGPT-style apps to composable component libraries — all built on shadcn/ui, all with working live demos verified in May 2026.

Building an AI product in 2026 means making three decisions: which model provider (or providers) to support, which backend to use for storage and auth, and what your chat UI actually looks like. The first two are increasingly commoditized — AI SDK plus Supabase or Postgres handles them in a few hundred lines of code. The chat UI is where your product’s personality lives, and where the right shadcn/ui starting point saves you weeks.

Below we’ve split 12 options into three categories: premium dashboards with built-in AI chat (ship fast with admin chrome already done), free open-source chat applications (clone, deploy, customize), and component libraries (compose your own UI from shadcn/ui-compatible primitives). Every demo URL has been opened, screenshotted, and verified clean. Every GitHub repo is actively maintained.

For broader shadcn/ui template options, see our shadcn/ui SaaS starter kits roundup, our shadcn/ui templates & starter kits guide, and our free shadcn admin dashboards collection.

1. Shadcn UI Kit — AI Chat

Part of the Shadcn UI Kit dashboard suite, this is the AI chat *application* page rather than a chat-only template. The screen ships with a clean prompt input, file attachment, suggestion chips, and a sidebar that links into 12+ other dashboard apps (CRM, e-commerce, hospital, finance). Buy once, use the AI chat plus all the other dashboards forever. The freemium tier exposes the full UI for evaluation; the Pro tier unlocks the unminified source.

2. Shadcn UI Kit — AI Chat V2

V2 takes the same Shadcn UI Kit framework and reshapes the AI chat into a ChatGPT-clone layout: left sidebar for the dashboard navigation, middle column for conversation history (Today / Yesterday / 7 Days Ago groupings), and the main pane for the current conversation. Voice input button, Claude 3.5 Sonnet selector, and Pro Plan upgrade banner are wired up. Most templates ship one chat layout — this kit ships two and lets you decide which fits your product.

3. Vercel AI Chatbot

Built and maintained by the Vercel team, with contributions from shadcn himself. Uses the AI Gateway to give a single interface across Mistral, Moonshot, DeepSeek, OpenAI, and xAI without per-provider SDK wiring. Includes React Server Components and Server Actions for streaming responses, persistent chat history, artifacts (code/document side panels), reasoning display for thinking models, and full chat metadata. The drop-in starting point if you want a battle-tested chatbot foundation that the entire Next.js ecosystem builds on top of.

4. Chatbot UI (mckaywrigley)

McKay Wrigley’s Chatbot UI is the most-starred AI chat project on GitHub. It pairs a shadcn/ui-built React frontend with a Supabase Postgres backend (so you control your own data), folder-based chat organization, custom prompt templates, model switcher with 80+ models including the major closed APIs and local Ollama, file attachments, and assistant configuration. Most popular as a self-hosted internal ChatGPT replacement for teams that don’t want their conversations on someone else’s servers.

5. LLMChat

LLMChat’s positioning is unique: a powerful AI chat client where conversation history never leaves the device. Built on Next.js 14, TypeScript, Tailwind, Framer Motion, and shadcn/ui with Zustand for state, Tiptap for rich text, and Dexie.js wrapping IndexedDB. The unified AI SDK interface lets users plug in their own keys for OpenAI, Anthropic, Google, and xAI. Specialty modes include Pro Search (web-augmented), Deep Research (long-form synthesis), and an MCP-compatibility layer for connecting to external tools.

6. Zola

Zola gives you one chat interface across every major AI provider — OpenAI, Anthropic Claude, Google Gemini, Mistral, and local Ollama — with model switching mid-conversation. The codebase is 99% TypeScript and built almost entirely on shadcn/ui plus the prompt-kit primitive library (also from the same author, ibelick). Apache-2.0 licensed, so commercial use is unrestricted, and the deployed demo at zola.chat is a fully functional product you can use today, not just a marketing landing.

7. Horizon AI Boilerplate

Built specifically for AI-first SaaS products — pairs the shadcn/ui chat interface with Supabase Auth and Postgres, OpenAI API integration, 30+ pre-built shadcn/ui components, dark/light theming, and TypeScript throughout. The boilerplate-shadcn variant is MIT-licensed and free; Horizon also sells a Pro tier with extended AI templates. Strong starting point when your product idea is “ChatGPT for X” and you don’t want to rebuild the chat shell or the surrounding SaaS plumbing from scratch.

8. AI Elements (Vercel)

AI Elements is the official Vercel-maintained component library for building AI-native applications. Every component is built on shadcn/ui conventions and uses CSS variables for theming, so it inherits your existing shadcn theme automatically. The library includes pre-built primitives for chat conversations, message bubbles, streaming responses, reasoning blocks, code highlighting, tool call display, source citations, suggestions, prompt input, and even voice and workflow components. Install with npx ai-elements and pick what you need.

9. shadcn-chatbot-kit (Blazity)

A focused component library that sits cleanly between AI Elements and assistant-ui in scope. Where AI Elements is comprehensive across all AI surfaces, shadcn-chatbot-kit is laser-targeted at the chatbot pattern: message lists, prompt input, file attachments, thinking/reasoning blocks, tool integration, and themable message bubbles. Maintained by Blazity (the agency known for next-enterprise) and used in production. The live demo runs against Llama 3.3 70B so you can chat with it before installing.

10. prompt-kit

prompt-kit is a component-by-component approach to AI UI: chain-of-thought, chat container, code block, feedback bar, file upload, image, loader, markdown, message, prompt input, prompt suggestion, reasoning, scroll button, source, steps. It’s what Zola (#6) uses internally. If AI Elements feels too opinionated and assistant-ui too heavyweight, prompt-kit gives you minimal shadcn/ui-compatible primitives you compose into exactly the AI surface your product needs.

11. assistant-ui

assistant-ui is the TypeScript/React library closest to “Stripe for AI chat” — composable primitives, thoughtful APIs, and adapters for every major backend (AI SDK, LangGraph, LangChain, Mastra, custom). Backed by Y Combinator and the most starred dedicated AI-chat library on GitHub. Streaming, markdown, code highlighting, file attachments, generative UI, and human-in-the-loop interactions are all first-class. Pre-built integrations with Shadcn, ChatGPT, Claude, Grok, Gemini, and Perplexity make it trivial to swap UIs.

12. shadcn.io AI Chatbot

Maintained by the unofficial shadcn.io community registry, this is the most opinionated single-file chatbot example available — it pulls together AI Elements primitives into a complete ChatGPT-style interface. Streaming responses, reasoning/thinking blocks, source citations, model selection, suggestion pills, and message branching for regenerated responses are all wired up. Less of a library, more of a ready-to-paste reference implementation. Pair it with shadcn/ui blocks and AI Elements for the fastest path to a working chat surface.

How to Choose the Right shadcn/ui AI Chat Template

The 12 options split cleanly along three axes — pick the one that matches your build stage:

By stage of your project

• Just starting: Vercel AI Chatbot — clone the canonical reference, deploy to Vercel, and build from there.
• Already have a Next.js SaaS: drop in AI Elements or shadcn-chatbot-kit components, no rewrite needed.
• Need to ship a finished product: Shadcn UI Kit AI Chat or Horizon AI Boilerplate give you a working dashboard, not a starter.
• Building an internal tool: Chatbot UI (mckaywrigley) self-hosted on Supabase replaces ChatGPT for teams.

By customization needs

• Full app, minor tweaks: Chatbot UI, Zola, LLMChat — clone, theme, deploy.
• Compose your own: assistant-ui for production, prompt-kit for minimal primitives, AI Elements for AI-SDK-first.
• Reference implementations: shadcn.io AI Chatbot for a ready-to-paste complete example.

By backend integration

• AI SDK / AI Gateway: Vercel AI Chatbot, AI Elements, shadcn-chatbot-kit.
• LangGraph / LangChain / Mastra: assistant-ui ships first-party adapters.
• Supabase: Chatbot UI, Zola, Horizon AI.
• BYOK / IndexedDB: LLMChat for client-side-only chat.

A practical pattern in 2026: start with Vercel AI Chatbot for the foundation, replace its chat UI with AI Elements primitives as your design system matures, and reach for assistant-ui when you need agent-grade features (tool calls, generative UI, human-in-the-loop). That progression keeps your dependencies aligned with shadcn/ui conventions throughout.

If you want the chat experience inside a fuller admin product instead of a standalone chatbot, our shadcn/ui SaaS starter kits roundup pairs naturally with this list — most of those starters include a chat module you can layer the components above into. For the underlying admin chrome, our DashboardPack Next.js + shadcn/ui catalog covers the dashboard side.