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NVIDIA Nemotron Multi-Agent Chatbot Next.js streaming AI template interface
AI Chatbot Template

NVIDIA Nemotron Multi-Agent Chatbot

NVIDIA Nemotron Multi-Agent Chatbot is a polished Next.js AI chatbot template for builders who want to prototype multi-agent interfaces with NVIDIA Nemotron through OpenRouter. It includes orchestrator, researcher, engineer, and reviewer modes; token-by-token streaming; server-side reasoning configuration; reasoning details preservation across turns; reasoning token usage reporting when returned; stop generation; starter prompts; internal transcript scrolling; and a responsive composer. Use it for multi-agent assistant demos, AI SaaS starters, model comparison experiments, internal copilots, or agentic product prototypes that need a clean NVIDIA Nemotron chat interface.

Direct answer

NVIDIA Nemotron Multi-Agent Chatbot is a Next.js RAG chatbot template for document Q&A, OpenAI embeddings, retrieval augmented generation, and AI chatbot answers with citations. It is best for knowledge-base assistants, support documentation bots, document intelligence apps, and internal research copilots.

Download on GitHub View repository Explore AI Lab
NVIDIA AI NVIDIA Nemotron on OpenRouter OpenRouter

Features

Streaming text chat
nvidia/nemotron-3-super-120b-a12b:free model route
Multi-agent mode selector
Server-side OpenRouter API route
Reasoning parameter configuration
Reasoning details preservation across turns
Reasoning token usage reporting
Responsive mobile interface
Internal chat transcript scrolling
Stop generation control

Use cases

NVIDIA Nemotron chatbot demoMulti-agent assistant prototypeAI assistant SaaSInternal AI copilotModel comparison prototypeOpenRouter AI experimentation

Freshness and tested metadata

last Tested
Jul 12, 2026
last Updated
Jul 12, 2026
next Version
Next.js 16.2.1
node Version
Node.js 20+
runtime
Next.js App Router
deployment
Vercel-ready starter
license
MIT
status
Open Source

Architecture

Next.js App Router page for the user-facing interface.
React components for the responsive chat, workflow, or document interaction surface.
Server-side route for AI provider calls so credentials stay outside the browser.
Tailwind CSS styling for a mobile-ready interface.
Retrieval layer for chunking, embeddings, evidence selection, and cited answer generation.
Agent workflow layer for prompt transformation, research, handoffs, and inspectable intermediate outputs.
Realtime session layer for WebRTC audio, ephemeral client secrets, live transcript rendering, and interruption handling.
OpenRouter SDK integration for multi-model routing, streaming responses, and model-specific experimentation.

Setup path

  1. 1Clone the GitHub repository linked above.
  2. 2Install dependencies with npm install.
  3. 3Create a local environment file from the example variables.
  4. 4Add the required AI provider API key on the server side.
  5. 5Run the local Next.js development server and test the primary workflow.

Related AI template categories

Next.js AI chatbot templates RAG chatbot templates for Next.js OpenAI Agents SDK templates Voice AI agent templates OpenRouter chatbot templates Next.js OpenAI templates ChatGPT clone templates Document Q&A AI templates

Internal template pathways

AI Templates Poolside Laguna Chatbot OpenRouter Free Chatbot AI Agents Starter

Frequently asked questions

What is NVIDIA Nemotron Multi-Agent Chatbot?

NVIDIA Nemotron Multi-Agent Chatbot is a Next.js RAG chatbot template for document Q&A, OpenAI embeddings, retrieval augmented generation, and AI chatbot answers with citations. It is best for knowledge-base assistants, support documentation bots, document intelligence apps, and internal research copilots.

Who should use NVIDIA Nemotron Multi-Agent Chatbot?

Use NVIDIA Nemotron Multi-Agent Chatbot if you are a Next.js developer, AI product builder, applied AI engineer, or founder looking for an open-source AI app starter instead of rebuilding the same AI interface and server route from scratch.

Is NVIDIA Nemotron Multi-Agent Chatbot production-ready?

This starter is production-grade in its AI safety baseline: prompts are hardened against prompt-injection attempts, provider calls stay server-side, unsafe inputs are constrained, and client-facing errors are kept safe. You should still expand it for your use case by adding or adapting authentication, tenant isolation, persistent storage, observability, quotas, billing, and business-specific policy checks before a real launch.