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{ DECENTRALIZED COGNITIVE COMPUTE }

MINDXPROTOCOL

Deepening intelligent thought simulation and expanding the boundaries of AI compute and cognitive computing — making every inference verifiable and every contribution rewarded.

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$MINDX Fixed Supply
300,000,000
Core Modules
6
Node Network Layers
3
Composable Pipeline Stages
5

01 — THE PROBLEM

The Dilemma of Centralized AI

Most AI services today still rely on centralized GPU clusters and closed computing platforms.

02 — WHAT IS MINDX

What Is MindX

MindX is a distributed computing protocol for AI thought simulation and dynamic intelligent coordination, integrating AI models, GPU compute, AI Agents, and edge inference nodes into a unified AI cognitive coordination network.

01

Mind Engine

A distributed AI inference runtime that drives thought simulation and dynamic decision-making

02

Dynamic Neural Layer

A dynamic neural coordination layer that synchronizes Agents and coordinates node communication and task migration

03

AI Agent Framework

An open Agent framework supporting real-time multi-Agent collaborative decision-making

04

Verification Layer

An on-chain verification layer that records task results, node contributions, and inference proofs

05

Mind Registry

A registry and index of nodes and Agents — the network's point of admission and directory

06

Edge Compute Network

An edge computing network that extends inference capabilities to edge devices

03 — ARCHITECTURE

Technical Architecture

MindX adopts an “off-chain AI inference + on-chain verification” architecture — high-performance inference executes on GPU nodes and the edge network, while task results, node contributions, and inference proofs are synchronized to the on-chain verification layer, balancing high performance, low latency, and high trustworthiness.

  1. 01

    User

    Initiates requests

  2. 02

    Agent

    Coordinates task logic

  3. 03

    Executor

    Executes GPU inference

  4. 04

    Verifier

    Verifies task results

  5. 05

    Settlement

    Completes revenue settlement

04 — APPLICATIONS

Core Applications

  1. 01

    AI Cognitive Inference Verification

    Inference results, GPU execution records, and task states are verified through on-chain structures, bringing AI inference out of the black box

  2. 02

    Agent Framework

    Agents share task states, synchronize inference logic, and make collaborative decisions in real time

  3. 03

    AI Assetization

    AI model access rights, GPU inference services, and Agent networks can all become on-chain digital assets

  4. 04

    Enterprise Automation Integration

    Fast integration via APIs and smart contracts, supporting intelligent customer service, automated risk control, and AI decision-making

  5. 05

    Developer Ecosystem

    SDKs, APIs, Agent toolchains, and GPU inference interfaces for rapid model and Agent deployment

05 — TOKENOMICS

Tokenomics

0

$MINDX · Fixed Total Supply

  1. 01AI inference settlement
  2. 02GPU node rewards
  3. 03Dynamic task coordination
  4. 04AI Agent scheduling
  5. 05DAO governance participation

Node Incentives

Dynamic rewards based on real AI contributions — adjusted dynamically according to node stability, GPU performance, task completion efficiency, and inference quality; long-term stable nodes receive higher task weights and priority scheduling

Long-Term Value

A dynamic deflationary structure, with a portion of protocol revenue allocated to ecosystem buybacks, the node reward pool, and a long-term governance fund

On-chain Contracts

06 — SECURITY & DAO

Security & Governance

Node Reputation System

Continuously records task completion rates, GPU online status, inference quality, and coordination stability; high-reputation nodes receive higher task priority and reward weights, while anomalous nodes face task restrictions and reduced earnings

DAO Governance

The community participates in protocol upgrades, network parameters, and node rule adjustments through proposals and on-chain voting, driving the AI network toward long-term open autonomy

07 — ROADMAP

Roadmap

  1. 01

    01 Foundation Network Deployment

    Deployment of Mind Engine · Core GPU Nodes · Verification Layer · Agent Framework, with an open developer test environment

  2. 02

    02 AI Coordination Expansion

    Expanding the AI Agent network, edge AI inference, and the distributed GPU network, bringing more AI services into the ecosystem

  3. 03

    03 Open AI Cognitive Network

    A global AI cognitive layer · a real-time Agent coordination system · an open intelligent computing market

Join the era of the cognitive coordination network

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