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features
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support

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Description

AgentSea stands as an innovative open-source platform that facilitates the seamless creation, deployment, and sharing of AI agents. It provides a robust set of libraries and tools aimed at developing AI applications, adhering to the UNIX principle of specialization. These tools can either function independently or be integrated into a comprehensive agent application, ensuring compatibility with popular frameworks such as LlamaIndex and LangChain. Among its notable features are SurfKit, which acts as a Kubernetes-style orchestrator for agents; DeviceBay, a system that allows for the integration of pluggable devices like file systems and desktops; ToolFuse, which enables the encapsulation of scripts, third-party applications, and APIs as Tool implementations; AgentD, a daemon that grants bots access to a Linux desktop environment; and AgentDesk, which supports the operation of VMs powered by AgentD. Additionally, Taskara assists in managing tasks, while ThreadMem is designed to create persistent threads that can support multiple roles. MLLM streamlines the interaction with various LLMs and multimodal LLMs. Furthermore, AgentSea features experimental agents such as SurfPizza and SurfSlicer, which utilize multimodal strategies to interact with graphical user interfaces effectively. This platform not only enhances the development experience but also broadens the horizons of what AI agents can achieve in various applications.

Description

TensorFlow Agents (TF-Agents) is an extensive library tailored for reinforcement learning within the TensorFlow framework. It streamlines the creation, execution, and evaluation of new RL algorithms by offering modular components that are both reliable and amenable to customization. Through TF-Agents, developers can quickly iterate on code while ensuring effective test integration and performance benchmarking. The library features a diverse range of agents, including DQN, PPO, REINFORCE, SAC, and TD3, each equipped with their own networks and policies. Additionally, it provides resources for crafting custom environments, policies, and networks, which aids in the development of intricate RL workflows. TF-Agents is designed to work seamlessly with Python and TensorFlow environments, presenting flexibility for various development and deployment scenarios. Furthermore, it is fully compatible with TensorFlow 2.x and offers extensive tutorials and guides to assist users in initiating agent training on established environments such as CartPole. Overall, TF-Agents serves as a robust framework for researchers and developers looking to explore the field of reinforcement learning.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
Amazon Web Services (AWS) Yes 
Claude Fable 5 Yes 
Claude Fable 5.1 Yes 
Claude Fable 5.5 Yes 
Claude Mythos 5.1 Yes 
Claude Opus 4.6 Yes 
Claude Opus 4.7 Yes 
Claude Opus 4.8 Yes 
Claude Opus 5.5 Yes 
Claude Sonnet 5.5 Yes 
Docker Yes 
GPT-4 Yes 
GitHub Yes 
Google Cloud Platform Yes 
LangChain Yes 
LlamaIndex Yes 
Playwright Yes 
Poetry AI Yes 
TensorFlow No 

Integrations

Python Yes 
Amazon Web Services (AWS) No 
Claude Fable 5 No 
Claude Fable 5.1 No 
Claude Fable 5.5 No 
Claude Mythos 5.1 No 
Claude Opus 4.6 No 
Claude Opus 4.7 No 
Claude Opus 4.8 No 
Claude Opus 5.5 No 
Claude Sonnet 5.5 No 
Docker No 
GPT-4 No 
GitHub No 
Google Cloud Platform No 
LangChain No 
LlamaIndex No 
Playwright No 
Poetry AI No 
TensorFlow Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

AgentSea

Country

United States

Website

www.agentsea.ai/

Vendor Details

Company Name

Tensorflow

Founded

2015

Country

United States

Website

www.tensorflow.org/agents

Product Features

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Alternatives

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