Stream Blog

Before You Start To begin, ensure that you meet these requirements and have the following credentials. Python 3.13 or a later version. An Apple Silicon Mac (recommended) or any modern laptop. Stream API credentials (for realtime audio and video communication). A HuggingFace Account and access token (HF_TOKEN). A Deepgram API key (for speech-to-text). A Google

We recently open-sourced the Stream Video ESP32 SDK — an SDK that lets an ESP32-S3 or ESP32-P4 join a Stream Video call, capture camera and microphone input, encode H.264 + Opus in real-time, and publish it over WebRTC. Someone on a browser or mobile device can then see and hear the ESP32 live. If you’re

Everyone talks about models. New architectures, larger parameter counts, faster inference—those tend to dominate the conversation. But if you’re actually building AI systems (or evaluating vendors), you quickly realize something else matters more: The data. Not just how much of it you have, but where it comes from, how it’s processed, and how it evolves

Every message in a healthcare chat contains protected health information the moment a clinician pairs a patient name with a diagnosis, lab result, or appointment. That makes your chat infrastructure a HIPAA compliance surface, whether you designed it to be one or not. This guide covers what HIPAA actually requires of a messaging system, how

When building voice AI applications, you have industry-leading cloud options for text-to-speech, such as Cartesia Sonic 3 and Grok TTS. For privacy and to avoid sharing your business’s data with these commercial text-to-speech (TTS) providers, your team may want to use free, open-source solutions that run locally on mobile and desktop devices. Continue reading to

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

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

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