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Average Ratings 0 Ratings

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support 0 out of 5 stars

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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.

Description

A13n serves as a self-hosted, open-source framework for developing AI agents, allowing users to build, test, and deploy agent applications seamlessly. Developers can utilize the Python Harness SDK to define agents by providing specific instructions, models, tools, and execution environments, or they can opt for configuration via the Harness UI. This platform includes a shared workspace and an HTTP API tailored for applications that require managed agents, saved interactions, and the ability to resume previous sessions. Agents can function either locally or through a deployed service, featuring checkpointing capabilities for eligible operations. Additionally, the framework integrates with model providers, external software, web data services, and remote MCP servers, and it can be set up using Docker Compose or Kubernetes for easy deployment. It is specifically crafted for software developers and platform teams focused on creating AI-driven workflows and applications, while ensuring clients maintain control over their infrastructure and provider credentials. Consequently, A13n empowers developers to innovate and enhance their applications with advanced AI functionalities.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Model Context Protocol (MCP) No 
Ollama No 
Python Yes 
TensorFlow Yes 

Integrations

Model Context Protocol (MCP) Yes 
Ollama Yes 
Python No 
TensorFlow No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Agent Foundation is available under the Apache License 2.0. Self-hosted infrastructure and usage charges from external model or service providers are separate.
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Tensorflow

Founded

2015

Country

United States

Website

www.tensorflow.org/agents

Vendor Details

Company Name

Converge AI

Website

a13n.dev/

Product Features

Product Features

Alternatives

Alternatives

No Alternatives
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