Stream has unveiled Vision Agents, a groundbreaking open-source SDK that prioritizes video-first technology for real-time AI applications. This innovative platform enables developers to build AI agents that can see, hear, and comprehend interactions in real time, marking a significant advancement in multimodal applications.
Boulder, Colorado, October 17, 2025 /PRNewswire-PRWeb/ – Stream, a leading provider of scalable APIs for chat, video, and feeds, has introduced Vision Agents, the first open-platform, video-first SDK designed to integrate real-time video and audio intelligence into applications. Unlike traditional systems that initially focus on voice features, Vision Agents was developed from the ground up with a video-centric approach.
“Most frameworks began with voice and later incorporated video,” explained Thierry Schellenbach, CEO and Co-Founder of Stream. “In contrast, we aimed for a video-first foundation that emphasizes openness, extensibility, and ease of use for developers.”
Key Features of Vision Agents:
- Video-First Intelligence: Enables scene understanding through live video with low latency.
- Real-Time Audio Processing: Includes transcription, speech recognition, and voice activity detection.
- Contextual Memory: Capable of recalling details seamlessly during interactions.
- APIs Integration: Designed to connect effortlessly with external APIs and third-party services.
Applications Across Industries
The versatility of Vision Agents supports diverse use cases, including defect detection in manufacturing, AI note-taking and transcription for collaboration, coaching and avatars in gaming, accessibility features like captions, and enhancing customer support through multimodal assistance.
Open-Source Collaboration
Vision Agents is fully open-source, encouraging community participation to expand its capabilities. Developers can contribute new processors, adapters, and integrations directly via GitHub.
“Vision AI feels reminiscent of ChatGPT’s early days in 2022, as we are just beginning to explore its full potential,” Schellenbach remarked.
For further information, interested developers and partners can refer to Stream’s official channels or contribute directly to the project on GitHub.
