OpenAI Realtime AgentsOpen-source starter kit for building multi-agent realtime voice apps on OpenAI's Realtime API.

4.8 (4)

Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

OpenAI Realtime Agents is a developer reference project that demonstrates how to orchestrate multi-agent voice experiences using OpenAI's Realtime API. It provides a working Next.js codebase with patterns for agent handoffs, tool calls, and conversation state, letting teams move from idea to working voice prototype in a short time. The project illustrates common architectures such as sequential agent chains, supervisor-style routing, and guardrail layers, all running over low-latency streaming audio. Developers can fork the repo, swap in their own agent definitions and tools, and adapt it as a starting point for production voice assistants, support bots, or interactive applications.

Key features

Multi-agent orchestration examples
Realtime streaming voice input and output
Tool calling and function integration
Agent handoff and routing patterns
Guardrail and supervisor agent demos
Next.js starter template

Pricing

Model: Free
Category: Voice AI Agents
Rating: 4.8 / 5 (4)

Use cases

Customer Service Chatbots

Use OpenAI Realtime Agents to create customer service chatbots that interact with users in real-time, handling basic tasks and deferring complex queries to intelligent supervisor models.

Sequential Handling of User Intents

Use the Sequential Handoff pattern to transfer users between specialized agents that excel in specific domains, such as customer service, to handle user intents in a sequential manner.

Advanced Voice Interactions

Use OpenAI Realtime Agents to build advanced voice-based interactions, integrating multiple models and tools to provide high-quality answers and improve performance by avoiding overcomplicated agents.

Pros & Cons

Pros

Open-source and freely forkable
Concrete patterns for multi-agent handoffs
Built on OpenAI's low-latency Realtime API
Quick path from concept to working voice prototype

Cons

Requires OpenAI API access and usage costs
Reference code, not a turnkey product
Focused on Next.js/TypeScript stack
Voice quality and latency depend on underlying API

Reviews

4.8

Average from 4 ratings.

Marcus Bell

May 21, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is agent handoff and routing patterns — handled better than most — and concrete patterns for multi-agent handoffs. Worth the time if this is your use case.

George Papadakis

Nov 29, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: guardrail and supervisor agent demos and built on OpenAI's low-latency Realtime API. Where it lags: reference code, not a turnkey product. On balance the feature set — especially guardrail and supervisor agent demos — justifies the 5 stars for our use case.

Pierre Dubois

Jul 28, 2025

Use it every day

Honestly didn't expect to like it this much. Tool calling and function integration is exactly what I needed, and open-source and freely forkable. I do wish requires OpenAI API access and usage costs, but I reach for it almost every day now and it just clicks.

Camille Laurent

Jun 28, 2025

Solid for our team

We rolled this out across the team last quarter and concrete patterns for multi-agent handoffs. Agent handoff and routing patterns fits neatly into how we already work, and multi-agent orchestration examples removed a step we used to do by hand. Focused on Next.js/TypeScript stack, which is the main caveat, but it has held up under daily use.

Q&A

What are the limitations?

Limitations include requiring OpenAI API access and usage costs, being a reference code rather than a turnkey product, and focusing on the Next.js/TypeScript stack.

Asked by Daniel Schmidt · Mar 16, 2026

What are the pros of using OpenAI Realtime Agents?

Pros include being open-source and freely forkable, having concrete patterns for multi-agent handoffs, being built on OpenAI's low-latency Realtime API, and providing a quick path from concept to working voice prototype.

Asked by Henrik Dahl · Mar 8, 2026

What are the key features?

Key features include multi-agent orchestration examples, realtime streaming voice input and output, tool calling and function integration, and agent handoff and routing patterns.

Asked by Larisa Ionescu · Feb 18, 2026

What is OpenAI Realtime Agents?

Asked by Beatriz Costa · Jan 10, 2026