Playarts
  • Welcome
  • Introduction
  • PlayArts Whitepaper
  • Technical Architecture
    • Application Layer
    • AI Orchestration Layer
    • Hybrid GPU On-Chain Layer
    • Data Layer
    • Value Creation Layer
  • GPU Mesh
    • Technical Architecture Innovation
    • Proof of AI Work (PoAW) Mechanism
    • Economic Innovation: Distributed Incentive Model
    • Technical Implementation Features
  • AI Agent System
    • Universal Gateway Architecture
    • Personal AI Agent Framework
    • AI Art Agent System
    • Training and Model Optimization
  • Economic Model
    • Token Architecture and Value System
    • Creation Economy
    • GPU Mesh Economic Structure
    • AI Agent Economy
    • Platform Revenue Return Structure
  • PlayArts' Token Overview
    • Token Burning Mechanism
    • Staking Mechanism
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On this page
  • On-Device Operation
  • Customization Capabilities
  • Resource Sharing
  1. AI Agent System

Personal AI Agent Framework

The Personal AI Agent Framework enables users to create, customize, and deploy their own AI agents directly on their devices while leveraging the power of the PlayArts network.

On-Device Operation

  • Local processing capabilities

  • GPU Mesh network integration

  • Resource optimization

  • Privacy-first design

Customization Capabilities

  • Model fine-tuning options

  • Behavior customization

  • Performance optimization

  • User preference learning

Resource Sharing

  • Contribute computing power

  • Earn rewards for participation

  • Network resource access

  • Collaborative improvement

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Last updated 2 months ago