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TEN Framework

TEN is a real-time, distributed, cloud-edge multimodal AI Agent Framework supporting multiple programming languages.

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Introduction

TEN Framework

Overview

The TEN Framework is the world’s first real-time, distributed, cloud-edge collaborative multimodal AI Agent Framework. It simultaneously supports various programming languages, including C, C++, Go, Python, JavaScript, and TypeScript.

Key Features
  • High-Performance Interactions: Designed for complex audio-visual interactions with low latency.
  • Multi-Language Support: Build modular and reusable extensions across multiple languages.
  • Edge-Cloud Integration: Seamless deployment of extensions in both edge and cloud environments.
  • Flexibility Beyond Model Limitations: Intuitive drag-and-drop interface to construct agents for diverse needs.
  • Real-Time State Management: Dynamic adjustments of agent behavior based on real-time state management.
Benefits
  • Enables developers to create engaging AI applications efficiently.
  • Offers extensive support for privacy-sensitive deployments without compromising performance.
  • Facilitates the integration of AI capabilities with existing tools and systems for enhanced functionality.
Highlights
  • Recent integrations include Llama 4 and MCP for advanced conversational capabilities.
  • The framework is open-source and encourages community contributions, making it continuously evolving and improving in capability and performance.
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Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/28

Categories

  • AI Application Platforms
  • AI Agent Tools
  • AI Development Frameworks

Tags

  • Edge AI
  • Multimodal AI

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