Stream Blog
Open Vision Agents by Stream: Open Source SDK for Building Low-Latency Vision AI Apps
The 8 Best Platforms To Build Voice AI Agents
The 6 Best LLM Tools To Run Models Locally
Using Stream to Build a Livestream Chat App in Next.js
Vision Agents v0.5.0 Release: Local Hardware I/O, Anam Avatars, and Faster Deepgram TTS
It’s been a busy period since our last release, and now it’s time to share Vision Agents v0.5.0 — a step toward making production-grade multimodal AI agents easy to build and deploy. While previous versions laid the groundwork for real-time voice, video, and Vision Agents, v0.5.0 focuses on stability at scale and even more expressive
Stream’s AI Moderation Roadmap: What We’re Building Next
Moderation has quietly become one of the hardest problems in modern apps. As chat, feeds, and real-time video interactions expand globally, the challenge isn’t just catching bad content; it’s doing it in real time, across languages, with context, and at scale. At Stream, we’ve been investing deeply in solving that problem. This roadmap is a
Scaling Event-Driven Systems Without Compromising Mobile App Stability
Event-driven architecture is nothing new. IBM MQ shipped in 1993. JMS has been around since 1998. Kafka launched in 2011. But for most of that history, event-driven patterns were for specialized domains. Most developers never touched them. That’s changed. Real-time mobile features, such as chat, activity feeds, live collaboration, or presence indicators, have pushed event-driven
Deputy Brings Shift Worker Conversations In-App with Stream
TL;DR The Problem For hourly workers, communication is rarely simple. Messages are often scattered across third-party applications like WhatsApp groups, Facebook Messenger threads, texts, or generic workplace tools that were never designed for shift-based teams. The Solution Deputy set out to solve that problem by bringing real-time messaging directly into its workforce management platform. The
Build a Restaurant Reservation AI Agent With Turbopuffer and Twilio
Let’s build a restaurant reservation system to speak with a voice agent via a real-time phone call. The service will have three main features: Agent Outbound Call: The agent can act as both a customer helper and a restaurant assistant. For example, it can be configured as an AI restaurant employee that calls customers back
Stream vs. CometChat: The Definitive Comparison (2026)
Stream and CometChat are two of the most-evaluated platforms for teams building real-time communication into their products. Both offer APIs, SDKs, and UI components for messaging, audio, and video. But they are built around different philosophies: Stream is engineered for deep customization and extreme scale, CometChat is designed to get you to production fast with
Grok TTS + Vision: Build a Healthcare Appointment Agent
This step-by-step guide will help you build an AI front-desk receptionist that interacts with patients through conversations, assesses their conditions, and advises whether to visit a doctor or seek online medical advice. When an agent can see the patient’s condition in real time, it can make a smarter recommendation, saving patients an unnecessary trip to
The Architecture and Best Practices for Mobile App Stability
A frozen message composer. A feed that won’t load. A draft that vanishes. None of these register as crashes, but all of them lose users. Add real-time features, like chat, activity feeds, or live streaming, and your crash rate can look pristine in Crashlytics while your app silently drops messages and bleeds memory. This guide