PlayAI
  • Introduction
  • Into the PlayAI Ecosystem
  • PlayHub
    • Introduction
    • Agents and MCPs
  • Meet Aura
  • MCP Hub
  • Data Mining
  • Getting Started
  • PlayStudio
    • Introduction
  • Features
  • Getting Started
  • Data Mining and Marketplace
    • Introduction
    • Data Mining
    • Marketplace
  • Oasis Nodes
    • Introduction
    • Component of Oasis Nodes
    • PlayAI as EigenLayer AVS
    • Node Bootstrapping
      • Purchase Oasis Node with PlayAI's NodePortal
    • How to Run the Node
      • How to Run with NodeOps
      • Setup via LocalHost
      • Setup via EC2 Instance
    • Node Explorer
    • Node Rewards
  • Token
    • Token Utilities
Powered by GitBook
On this page

Features

PlayStudio acts as a unified hub where developers can create and deploy AI agents tailored to diverse use cases and workflows. Users can co-own these agents, benefiting from their functionality and growth. Additionally, PlayStudio fosters an agent ecosystem where agents exchange resources and serve users autonomously. This marks the next iteration of the internet—an ecosystem where self-sustaining autonomous agents generate revenue and perform a wide range of tasks, seamlessly integrating into various applications and environments.

Key Features of PlayStudio

Framework Agnostic

PlayStudio allows developers to create agents using any preferred framework, such as ElizaOS, SendAI, CoinbaseKit, Poppins, or others. This flexibility ensures compatibility with existing tools and technologies, enabling seamless integration into various workflows.

Highly Customizable

Enable users and developers to personalize their agents to suit specific needs and preferences. Key customization options include:

  • Skill Upgrades: Enhance or expand an agent’s skillset to increase its capabilities for diverse use cases.

  • Persona Customization: Modify persona prompts to adjust the agent’s tone, behavior, and communication style.

  • Dataset Training: Train agents on specialized datasets to improve accuracy and domain-specific expertise.

  • Model Flexibility: Swap between models or upgrade to more advanced versions for enhanced performance.

  • Voice Integration: Add or train voice capabilities for natural, interactive conversations.

  • Channel Connectivity: Connect agents to various social media platforms and other channels for broader reach and interaction.

  • Immersive Experiences: Enable agents to host live streams and deliver immersive, interactive experiences to engage users dynamically.

MCP Compatibility

Transform your agent into a fully functional Model Context Protocol (MCP) server, unlocking a new level of interoperability and reach. This capability allows your agent to interact seamlessly with other MCP clients, such as Claude, or any MCP-compatible platform. By enabling this transformation, agents are no longer confined to a single ecosystem—they can be deployed across diverse environments, ensuring their functionality is accessible wherever needed.

PreviousIntroductionNextGetting Started

Last updated 1 month ago