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 through voice, text, and images,and offers capabilities such as weather queries, web search, visual recognition,RAGcapabilities,and supports high-performance real-time communication with low-latency audio and video interaction. TEN Agent supports multiple languages and cross-platform operation, allowing developers to easily extend functionality based on its 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 Features of TEN Agent
- Multimodal Interaction: TEN Agent supports multimodal interaction through voice, text, and images, allowing AI agents to communicate with users in a more natural way.
- Real-Time Communication: Built-in RTC (Real-Time Communication) capabilities enable TEN Agent to perform real-time voice and video interaction without additional configuration.
- Modular Design: TEN Agent uses a modular design, allowing developers to easily add new features like plugins.
- Easy Debugging: Provides one-stop service from speech recognition (STT) to text processing (LLM) to speech synthesis (TTS), simplifying the debugging process.
- Technology Integration: Integrates OpenAI's real-time API to enhance the capabilities of AI agents.
- Multi-Language and Multi-Platform Support: TEN Agent supports multiple programming languages (such as C++, Go, Python) and multiple operating system platforms (including Windows, Mac, Linux, and mobile devices).
- Edge-Cloud Integration: Supports the integration of edge computing and cloud computing, balancing privacy, cost, and performance.
Technical Principles of TEN Agent
- OpenAI Realtime API and RTC Integration: TEN Agent combines OpenAI's real-time API with RTC technology to achieve an ultra-low-latency interaction experience.
- AI Noise Suppression: The RTC module features AI noise suppression, ensuring smooth and high-quality audio interaction.
- Speech Recognition (STT): Converts the user's speech into text for the AI agent to process.
- Language Model (LLM): Processes the converted text, understands the user's intent, and generates responses.
- Speech Synthesis (TTS): Converts the AI agent's text responses into speech, which is played to the user via the RTC module.
TEN Agent Project Address
- GitHub Repository：https://github.com/TEN-framework/TEN-Agent
- Online Demo：https://agent.theten.ai/
Application Scenarios of TEN Agent
- Intelligent Customer Service: As an intelligent customer service system, it provides 24/7 automated customer support and handles common questions and requests.
- Real-Time Voice Assistant: Integrated into smartphones or other devices as a voice assistant, helping users perform tasks such as setting reminders and searching for information.
- Educational Assistance: In the field of education, it serves as a virtual teaching assistant, providing language learning support or assisting the teaching process.
- Smart Home Control: As the hub of a smart home system, it uses voice to control smart devices in the home, such as lights and temperature control.
- Health Consultation: In the healthcare sector, provide basic health consultation services, such as symptom checking and appointment scheduling.