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TEN Agent - An open-source real-time multimodal AI agent framework

TEN Agent is an open-source real-time multimodal AI agent framework that integrates OpenAI Realtime API and RTC technology. TEN Agent enables multimodal interaction via voice, text, and images, supports high-performance real-time communication, and features low latency...

What is TEN Agent?

TEN Agent is an open-source real-time multimodal AI agent framework that integrates the OpenAI Realtime API and RTC technology. TEN Agent enables multimodal interaction via voice, text, and images.It has weather query, web search, visual recognition,RAGability,Supporting high-performance real-time communication and low-latency audio and video interaction capabilities, TEN Agent supports multi-language and cross-platform operation. Developers can easily extend functionality based on modular design, such as integrating visual recognition and RAG capabilities. TEN Agent provides real-time agent state management, enabling AI agents to dynamically respond to user interactions, making it suitable for various scenarios such as intelligent customer service and real-time voice assistants.

Main functions of TEN Agent

  • Multimodal interactionTEN Agent supports multimodal interaction via voice, text, and images, allowing AI agents to communicate with users in a more natural way.
  • Real-time communicationBuilt-in RTC (Real-Time Communication) capability, supporting real-time voice and video interaction with TEN Agent without additional configuration.
  • Modular designTEN Agent uses a modular design, allowing developers to easily add new features like plugins.
  • Easy to debugIt provides a one-stop service from speech recognition (STT) to text processing (LLM) to speech synthesis (TTS), simplifying the debugging process.
  • Technology IntegrationIntegrates OpenAI's real-time API to enhance the capabilities of AI agents.
  • Multilingual and multi-platform supportTEN Agent supports multiple programming languages (such as C++, Go, Python) and multiple operating system platforms (including Windows, Mac, Linux and mobile devices).
  • Edge cloud integrationIt supports the integration of edge computing and cloud computing, balancing privacy, cost, and performance.

TEN Agent's technical principles

  • OpenAI Realtime API and RTC IntegrationTEN Agent combines OpenAI's real-time API with RTC technology to achieve an ultra-low latency interactive experience.
  • AI noise suppressionThe RTC module features AI noise suppression to ensure smooth and high-quality audio interaction.
  • Speech recognition (STT)Converts the user's voice into text for easier processing by the AI agent.
  • Language Model (LLM)Process the converted text, understand the user's intent, and generate a response.
  • Text-to-speech (TTS)The AI agent's text response is converted into speech and played back to the user via the RTC module.

TEN Agent's project address

Application scenarios of TEN Agent

  • Intelligent Customer ServiceAs an intelligent customer service system, it provides 24/7 automated customer support, handling common questions and requests.
  • Real-time voice assistantIt can be integrated into smartphones or other devices as a voice assistant to help users perform tasks such as setting reminders and searching for information.
  • Educational SupportIn the field of education, it can serve as a virtual teaching assistant, providing language learning support or assisting the teaching process.
  • Smart Home ControlAs the central hub of a smart home system, it allows voice control of smart devices in the home, such as lights and temperature control.
  • Health ConsultationIn the healthcare field, basic health consultation services are provided, such as symptom checks and appointment scheduling.
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