TF-AgentsTensorflow
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a13nConverge 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.
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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.
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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
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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
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Audience
Academic researchers searching for a tool to develop and test new reinforcement learning algorithms within the TensorFlow ecosystem
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Audience
Software developers, AI engineers, and platform teams building or operating AI-agent applications and workflows.
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Supported
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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PricingAgent 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
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
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In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationTensorflow
Founded: 2015
United States
www.tensorflow.org/agents
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Company InformationConverge AI
a13n.dev/
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Categories |
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Integrations
Model Context Protocol (MCP)
Not Supported
Ollama
Not Supported
Python
Supported
TensorFlow
Supported
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Integrations
Model Context Protocol (MCP)
Supported
Ollama
Supported
Python
Not Supported
TensorFlow
Not Supported
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