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Stream Adds Tencent RTC Support to Vision Agents for Low-Latency AI Experiences Across Asia
TelAve News/10896506
BOULDER, Colo. - TelAve -- Stream today announced Tencent Real-Time Communication (Tencent RTC) as a supported transport provider for Vision Agents, Stream's open-source framework for building real-time multimodal AI agents.
This gives developers building with Vision Agents a new option for delivering low-latency voice and video AI experiences globally, with stronger performance across China and broader Asia-Pacific markets.
As AI agents evolve beyond text into experiences that can see, hear, speak, and respond, infrastructure has become a critical part of the developer stack. Vision Agents was designed to simplify that challenge by giving developers a flexible, video-first framework that works across models, transports, and AI providers without locking teams into a single ecosystem.
With Tencent RTC support, developers can run existing Vision Agents applications on Tencent's global real-time communication network while continuing to use the same models, plugins, and workflows already built into their stack.
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"Real-time AI development is moving incredibly fast, and developers want the flexibility to choose the infrastructure and models that best fit their users and markets," said Neevash Ramdial, Director of Marketing and Vision Agents Lead at Stream. "Tencent RTC gives Vision Agents developers a powerful low-latency option for deploying multimodal AI applications across China and Asia without requiring teams to rebuild their existing AI workflows."
Vision Agents is Stream's open-source Python framework for building real-time AI applications powered by live audio and video. The framework supports integrations across leading LLM, speech-to-text, text-to-speech, avatar, vision, and retrieval providers, allowing developers to build applications such as:
Unlike traditional conversational AI frameworks originally designed for voice-only interactions, Vision Agents was built from the ground up for multimodal, video-first AI applications that can process and respond to live visual context in real time.
More on TelAve News
Tencent RTC operates a globally distributed real-time communication network with more than 3,200 nodes worldwide and strong regional connectivity across Asia-Pacific markets. Through the integration, developers can use Tencent RTC as the transport layer powering live communication between AI agents and end users.
"Vision Agents reflects the next phase of conversational AI, moving beyond voice into truly multimodal, real-time experiences," said Wison Xie, Head of Product, Tencent RTC. "By supporting Vision Agents, we're helping developers bring responsive AI applications to users worldwide with reliable real-time performance."
The Tencent RTC integration for Vision Agents is available today. More information here:
Tencent: https://www.tencent.com/en-us/
Vision Agents: https://getstream.io/vision-agents/
This gives developers building with Vision Agents a new option for delivering low-latency voice and video AI experiences globally, with stronger performance across China and broader Asia-Pacific markets.
As AI agents evolve beyond text into experiences that can see, hear, speak, and respond, infrastructure has become a critical part of the developer stack. Vision Agents was designed to simplify that challenge by giving developers a flexible, video-first framework that works across models, transports, and AI providers without locking teams into a single ecosystem.
With Tencent RTC support, developers can run existing Vision Agents applications on Tencent's global real-time communication network while continuing to use the same models, plugins, and workflows already built into their stack.
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"Real-time AI development is moving incredibly fast, and developers want the flexibility to choose the infrastructure and models that best fit their users and markets," said Neevash Ramdial, Director of Marketing and Vision Agents Lead at Stream. "Tencent RTC gives Vision Agents developers a powerful low-latency option for deploying multimodal AI applications across China and Asia without requiring teams to rebuild their existing AI workflows."
Vision Agents is Stream's open-source Python framework for building real-time AI applications powered by live audio and video. The framework supports integrations across leading LLM, speech-to-text, text-to-speech, avatar, vision, and retrieval providers, allowing developers to build applications such as:
- AI avatars and assistants
- Real-time coaching and tutoring
- Gaming copilots
- Voice and video agents
- Robotics interfaces
- Live customer support experiences
Unlike traditional conversational AI frameworks originally designed for voice-only interactions, Vision Agents was built from the ground up for multimodal, video-first AI applications that can process and respond to live visual context in real time.
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Tencent RTC operates a globally distributed real-time communication network with more than 3,200 nodes worldwide and strong regional connectivity across Asia-Pacific markets. Through the integration, developers can use Tencent RTC as the transport layer powering live communication between AI agents and end users.
"Vision Agents reflects the next phase of conversational AI, moving beyond voice into truly multimodal, real-time experiences," said Wison Xie, Head of Product, Tencent RTC. "By supporting Vision Agents, we're helping developers bring responsive AI applications to users worldwide with reliable real-time performance."
The Tencent RTC integration for Vision Agents is available today. More information here:
Tencent: https://www.tencent.com/en-us/
Vision Agents: https://getstream.io/vision-agents/
Source: GetStream.io
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