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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

Eve serves as an open-source framework for developing AI agents that you fully control, structured around a file system and equipped with a runtime suitable for production use. Defining an agent is as straightforward as creating an instructions.md file, while additional components like model configurations, skills, tools, sandboxes, channels, connections, subagents, schedules, and evaluations can be incorporated as the agent evolves. Tools can easily be established by placing TypeScript files into the designated tools directory, and skills are formulated as Markdown playbooks that activate only when needed. These agents have the capability to integrate with platforms such as GitHub, Stripe, and Linear via secure authenticated connections, and they can interact through various channels like Slack, Discord, Teams, web chats, APIs, cron jobs, command-line interfaces, and tailored applications—all originating from the same codebase. Moreover, specialized subagents are capable of managing delegated tasks, utilizing their own unique prompts, tools, and sandboxes, enhancing the overall functionality and adaptability of the agent. This versatility allows developers to customize their AI systems to fit a wide range of applications and use cases.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Discord No 
Docker No 
GPT-5.4 No 
GitHub No 
Linear No 
Markdown No 
Microsoft Teams No 
Python Yes 
Slack No 
Snowflake No 
Stripe No 
TensorFlow Yes 
TypeScript No 
Vercel No 

Integrations

Amazon Web Services (AWS) Yes 
Discord Yes 
Docker Yes 
GPT-5.4 Yes 
GitHub Yes 
Linear Yes 
Markdown Yes 
Microsoft Teams Yes 
Python No 
Slack Yes 
Snowflake Yes 
Stripe Yes 
TensorFlow No 
TypeScript Yes 
Vercel Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Tensorflow

Founded

2015

Country

United States

Website

www.tensorflow.org/agents

Vendor Details

Company Name

Vercel

Founded

2015

Country

United States

Website

eve.dev/

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Product Features

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