TEN Framework
The TEN Framework (Transformative Extensions Network) is an open-source platform for building real-time multimodal AI agents. It enables you to create conversational applications that process voice, video, data streams, images, and text simultaneously. With TEN, you can rapidly develop sophisticated AI agents that think, listen, see, and interact naturally in real-time.
The framework simplifies experimentation with large language models while providing reusable extensions for common functions. TEN supports diverse use cases including simultaneous interpretation, speech-to-text conversion, multilingual communication, audio-visual interaction, virtual companions, AI-generated meeting minutes, and language tutoring.
By combining edge and cloud computing capabilities, TEN delivers an optimal balance of performance, privacy, and cost-efficiency for next-generation conversational AI applications.
Product Features
Native support for high-performance, real-time multimodal interactions
The TEN framework optimizes interactions between extensions to ensure efficient development of high-performance AI applications with low latency and seamless multimodal processing.
Multi-language and cross-platform development
Build modular and reusable extensions using C++, Go, and Python. The TEN framework runs seamlessly across Windows, Mac, Linux, and mobile platforms, enabling flexible deployment strategies.
Edge-cloud integration
Combine extensions across edge and cloud environments to build applications with optimal performance, privacy, and cost-efficiency. Deploy lightweight models at the edge for privacy-sensitive tasks while leveraging cloud-based large models for complex processing.
Modular extension architecture
Build complex AI systems using a component-based approach where individual extensions handle specific functions. This modular design enables rapid prototyping, easy maintenance, and seamless integration of new capabilities without rebuilding entire applications.
Flexibility beyond model limitations
Create sophisticated AI applications that transcend the constraints of large models. Build agents to meet diverse requirements using an intuitive, responsive development approach that integrates AI, databases, monitoring systems, RAG, and other components.
Real-time agent state management
Manage dynamic agent state for responsive behavior adjustment and real-time adaptation to changing contexts and user interactions.