TF-Agents

TF-Agents

Tensorflow
a13n

a13n

Converge AI
+
+

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About

​TensorFlow Agents (TF-Agents) is a comprehensive library designed for reinforcement learning in TensorFlow. It simplifies the design, implementation, and testing of new RL algorithms by providing well-tested modular components that can be modified and extended. TF-Agents enables fast code iteration with good test integration and benchmarking. It includes a variety of agents such as DQN, PPO, REINFORCE, SAC, and TD3, each with their respective networks and policies. It also offers tools for building custom environments, policies, and networks, facilitating the creation of complex RL pipelines. TF-Agents supports both Python and TensorFlow environments, allowing for flexibility in development and deployment. It is compatible with TensorFlow 2.x and provides tutorials and guides to help users get started with training agents on standard environments like CartPole.

About

a13n is an open-source AI agent development framework and self-hosted platform for building, testing, and running agent applications. Developers define agents with instructions, models, tools, and execution environments using the Python Harness SDK, or configure agents through Harness UI. The Service provides a shared workspace and HTTP API for applications that need managed agents, saved conversations, and resumable runs. Agent work can execute locally or on a deployed Service, with checkpointing for eligible runs. The platform connects to model providers, external applications, web-data services, and remote MCP servers, and can be deployed using Docker Compose or Kubernetes. It is designed for software developers and platform teams creating AI-enabled workflows and applications; customers operate their own infrastructure and provider credentials.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Academic researchers searching for a tool to develop and test new reinforcement learning algorithms within the TensorFlow ecosystem

Audience

Software developers, AI engineers, and platform teams building or operating AI-agent applications and workflows.

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

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 Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Tensorflow
Founded: 2015
United States
www.tensorflow.org/agents

Company Information

Converge AI
a13n.dev/

Alternatives

Alternatives

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Mastra

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LiteRT

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Categories

RLHF Supported

Categories

Integrations

Model Context Protocol (MCP) Not Supported
Ollama Not Supported
Python Supported
TensorFlow Supported

Integrations

Model Context Protocol (MCP) Supported
Ollama Supported
Python Not Supported
TensorFlow Not Supported
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