iAgent whitepaper
iAgent whitepaper
  • Introduction
  • Philosophy
    • Problem & Solution
    • Vision & Mission
  • Product and Ecosystem
    • Visual Learning Model (VLM)
    • ERC-AI Agent Standard
    • AI Agent Marketplace
    • Data Collection & Labeling
    • iAgent Dev Hub
  • Visual Learning Model Explained
  • iAgent Protocol Explained
  • Data Contribution Explained
  • Protocol Governance
    • Governance Framework
    • Governance Core
    • Privacy and Security
    • Terms & Conditions
  • Protocol Nodes
    • Node Deployment
    • Video Tutorial
    • FAQs
    • Key Aspects
    • Consensus Algorithms
    • Reward Calculation
    • How to KYC
    • Purchase and Sale Agreement
  • $AGNT Tokenomics
    • AGNT Contract
    • AGNT Vesting
    • AGNT Emission
    • AGNT Solo Staking
    • AGNT Liquid Staking
    • AGNT Governance
  • Roadmap
  • Conclusion
  • Official Links
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  • Our Vision
  • Our Mission
  1. Philosophy

Vision & Mission

Our Vision

To revolutionize gaming through the Visual Learning Model (VLM) by empowering players to create, own, and monetize their own AI agents. Our decentralized protocol transforms gameplay into intelligent virtual asset as a new digital asset class on-chain, enabling gamers to shape the future of personalized gaming experience.

Our Mission

To democratize access to AI-driven gaming by providing gamers with the tools and infrastructure to create, train, and monetize AI agents. We aim to build a decentralized ecosystem that empowers gamers, developers, and compute providers to collaborate, innovate, and contribute to the future of gaming, where digital assets are owned and controlled by the gamers.

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Last updated 2 months ago

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