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Description
Persona is a VanillaJS Agent UI Library that empowers developers to craft interactive front-end experiences using pure JavaScript. It is lightweight, highly extensible, and built to be WebMCP-native, making it compatible with any technology stack while seamlessly connecting to various SSE backends. Developers have the flexibility to begin with a floating launcher in the corner, a copilot docked next to an application, or even a full-height assistant that takes over the entire page, all while adjusting the launcher setup without altering the agent or application itself. This library is tailored for a diverse range of use cases, including support, documentation, sales, onboarding, internal tools, and personalized agent experiences, transforming the chat interface into an additional operational layer for the application. By utilizing WebMCP, developers can facilitate direct interactions with page actions, search functionalities, shopping carts, bookings, forms, and additional tools right from the browser through a document.modelContext; Persona intelligently identifies these tools, prompts the user for confirmation before execution, and streams the outcomes back into the ongoing conversation. Furthermore, this enhances user engagement by ensuring that interactions are intuitive and contextually relevant, ultimately leading to a more productive experience.
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
API Access
Has API
Integrations
CSS
Cloudflare
Eve
JavaScript
LangChain
Next.js
OpenAI
Python
Svelte
TensorFlow
Integrations
CSS
Cloudflare
Eve
JavaScript
LangChain
Next.js
OpenAI
Python
Svelte
TensorFlow
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Runtype
Country
United States
Website
www.persona-chat.dev/
Vendor Details
Company Name
Tensorflow
Founded
2015
Country
United States
Website
www.tensorflow.org/agents
Product Features
Product Features
Alternatives
No Alternatives