How to deploy open-source multimodal AI voice agents faster using framework-based development

How to deploy open-source multimodal AI voice agents faster using framework-based development

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Build powerful multimodal chatbots faster with open-source TEN

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TheTen

TEN is an open-source framework for building real-time multimodal conversational AI voice agents with ultra-low latency. It lets developers create customizable, RTC- and WebSocket-based conversational experiences with full control over pipelines and deployment.

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What to expect from an ideal product

  1. TEN framework eliminates the need to build voice agent infrastructure from scratch by providing pre-built components for speech recognition, natural language processing, and text-to-speech integration
  2. Developers can skip months of custom coding with TEN's ready-made templates and modules that handle real-time audio streaming, WebSocket connections, and RTC protocols out of the box
  3. The framework's modular architecture lets teams plug in different AI models and services without rewriting core functionality, speeding up experimentation and deployment cycles
  4. TEN's built-in pipeline management handles the complex orchestration between voice input, AI processing, and audio output automatically, removing technical bottlenecks that slow down development
  5. Open-source nature means no vendor lock-in or licensing delays - teams can modify, deploy, and scale their voice agents immediately without waiting for approvals or dealing with proprietary limitations

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