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What is TEN?

The Transformative Extensions Network (TEN) is an open-source platform that empowers developers to build real-time multimodal AI agents that can engage through voice, video, text, images, and data streams with remarkably low latency. This framework features a robust ecosystem that includes TEN Turn Detection, TEN Agent, and TMAN Designer, enabling rapid development of agents that respond in a human-like manner and can perceive, communicate, and interact effectively with users. With support for multiple programming languages such as Python, C++, and Go, it offers flexibility for deployment in both edge and cloud environments. By utilizing tools like graph-based workflow design, a user-friendly drag-and-drop interface from TMAN Designer, and reusable elements like real-time avatars, retrieval-augmented generation (RAG), and image synthesis, TEN streamlines the process of creating adaptable and scalable agents with minimal coding requirements. This pioneering framework not only enhances the development process but also paves the way for innovative AI interactions applicable in various fields and sectors, significantly transforming user experiences. Furthermore, it encourages collaboration among developers to push the boundaries of what's possible in AI technology.

What is AgentSea?

AgentSea is a groundbreaking open-source platform that simplifies the creation, deployment, and sharing of AI agents. It offers a comprehensive array of libraries and tools for building AI applications while following the UNIX principle of specialization. These tools can operate on their own or be integrated into a larger agent application, ensuring they work seamlessly with well-known frameworks like LlamaIndex and LangChain. Some of its standout features include SurfKit, which serves as a Kubernetes-style orchestrator for agents; DeviceBay, a system designed for the integration of pluggable devices such as file systems and desktops; ToolFuse, which allows users to encapsulate scripts, third-party applications, and APIs as Tool implementations; AgentD, a daemon that enables bots to access a Linux desktop environment; and AgentDesk, which supports virtual machines powered by AgentD. In addition, Taskara helps with task management, while ThreadMem is built to create persistent threads that can handle multiple roles effectively. MLLM simplifies interactions with various LLMs and multimodal LLMs. Moreover, AgentSea includes experimental agents like SurfPizza and SurfSlicer, which effectively leverage multimodal strategies to interact with graphical user interfaces. This platform not only enhances the development experience but also expands the potential applications of AI agents across diverse fields, paving the way for innovative solutions and advancements in technology.

Media

Media

Integrations Supported

Docker
Python
C++

Integrations Supported

Docker
Python
Amazon Web Services (AWS)
Claude Fable 5
Claude Fable 5.1
Claude Fable 5.5
Claude Haiku 5.5
Claude Mythos 5.1
Claude Opus 4.6
Claude Opus 4.8
Claude Opus 5
Claude Opus 5.5
Claude Sonnet 5.5
GPT-4
GitHub
Google Cloud Platform
LlamaIndex
Playwright
Poetry AI

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

TEN

Company Location

United States

Company Website

theten.ai/

Company Facts

Organization Name

AgentSea

Company Location

United States

Company Website

www.agentsea.ai/

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

AI Agent Frameworks

Not specified

AI Voice Agents

Not specified

Conversational AI

Not specified

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

AI Agent Frameworks

Not specified

Popular Alternatives

Popular Alternatives

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