Ross ROSS = Recommend OSS · open-source software intelligence for agents

vercel/chatbot

Some data may be outdated — see provenance labels.

A full-featured, hackable Next.js AI chatbot built by Vercel observed · 2026-10-02

github.com/vercel/chatbot · homepage · TypeScript · NOASSERTION (other) observed · 2026-10-02

Health v2 · maintenance only

67/100

  • Activity 83
  • Release rhythm 35
  • Longevity 89

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1250
  • days_rel: n/a
  • days_push: 104
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

20983 stars · 6754 forks observed · 2026-10-02

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-19, confidence 0.97

Chatbot is an open‑source, full‑featured template built with Next.js and the Vercel AI SDK. It provides a ready‑to‑deploy AI chat application with authentication, persistence, and multimodal capabilities.

Use cases

  • build a custom AI chat interface for a website
  • create a chatbot that can handle file uploads and code execution
  • prototype a conversational AI product with built‑in user authentication
  • deploy a scalable chatbot on Vercel with serverless functions
  • integrate multiple LLM providers (OpenAI, Anthropic, Google, etc.) in one app
  • add multimodal support (images, documents) to a chat experience

When to choose

  • You need a ready‑made Next.js starter that includes AI model integration out of the box.
  • You want to quickly prototype or launch a production‑grade chatbot with authentication and data storage.
  • You prefer a template that supports multiple LLM providers via a unified API.
  • You are deploying to Vercel and want seamless integration with Neon Postgres and Vercel Blob.

When to avoid

  • You require a non‑JavaScript/TypeScript stack or a different front‑end framework.
  • You need on‑premise deployment without Vercel’s serverless environment.
  • Your chatbot must run entirely offline or without external AI model APIs.

Facets

application · maturity active

web-framework api-framework auth database file-upload llm-inference state-management routing middleware artificial-intelligence chatbots web-development data-science browser cross-platform nextjs shadcn-ui vercel redis ai-sdk neon-postgres vercel-blob authjs typescript nodejs web-server

10 sources

Member repositories

RepositoryRoleHealth v2
vercel/chatbotmain67

For agents

markdown · JSON · MCP: product_card(name="vercel/chatbot")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem