Voice agents fail when latency, turn-taking, and media plumbing are treated as details. TEN starts from the real-time conversation layer where speech, interruption, transport, and multimodal extensions must work together.
What Sets It Apart
It targets real-time multimodal conversational AI, with VAD, turn detection, speech-to-speech examples, diarization, avatars, SIP, transcription, ESP32 integration, RTC, and WebSocket support. The focus is media-native agent infrastructure.
Who Should Use It
Great fit if you build voice products, live avatars, telephony agents, or hardware voice interfaces. Look elsewhere for text-only agents, background workflows, or hosted voice APIs with minimal customization.
