Aureus AI
  • Executive Summary
  • INTRODUCTION
    • Background
    • Vision & Mission
  • PROBLEM STATEMENT
    • Challenges in DeFi Automation
    • Fragmented Agent Marketplaces
  • Solution Overview
    • Aureus AI Platform
    • Key Features
  • Aureus AI Platform Details
    • Custom AI Agents
    • AI Chat Agent
    • AI Agent Certification & Validation
    • One-Stop AI Agent Marketplace
    • Instant AI Agent Creation & No-Code Customization
    • MCP Server Overview
  • Tokenomics
    • Aureus Token ($AUREUS) Utility
    • Token Distribution & Allocation
    • Revenue Model Integration with Tokenomics
    • Long-Term Vision for $AUREUS
  • Technology Architecture
    • Blockchain Integration
    • AI and Machine Learning
  • Business Model
    • Revenue Streams
    • Subscription Model for AI Agent Creation
    • AI Agent Marketplace & Revenue Sharing
    • Partnerships & Collaborations
    • Summary
    • Final Thoughts
  • Roadmap
    • Phase 1
    • Phase 2
    • Phase 3
    • Phase 4
    • Phase 5
    • Summary
    • Final Thoughts
  • Appendices
    • Glossary of Terms
    • Technical Specifications
    • Legal Considerations
    • Final Thoughts
  • Socials
    • Website
    • X (Formerly Twitter)
    • Telegram
Powered by GitBook
On this page
  1. Technology Architecture

Blockchain Integration

Enhanced with Multi-Chain Expansion & AI Liquidity Optimization

Aureus AI is multi-chain by design, ensuring seamless DeFi automation, liquidity optimization, and AI-driven trade execution across multiple networks.

Key Features

✅ Smart Contract Automation – AI agents execute DeFi transactions on-chain, ensuring transparency and tamper-proof trading strategies.

✅The MCP server is a NestJS-based backend using Socket.IO for real-time communication. All tool requests and responses are schema-validated and securely authorized using JWT tokens. The Aureus AI backend connects each active agent to the MCP layer, allowing it to:

  • Request price, liquidity, and balance information via tools

  • Execute trades through walletExecute

  • Maintain session state and memory for each user

✅ Cross-Chain Liquidity Optimization – AI dynamically reallocates funds across multiple blockchains to ensure maximum yield farming efficiency.

✅ On-Chain AI Models – AI trading strategies run directly on decentralized smart contract infrastructure, ensuring trustless execution and data integrity.

✅ Multi-Chain Expansion Roadmap – The platform launches on Ethereum, followed by Binance Smart Chain (BSC), Polygon, Arbitrum, Avalanche, and Solana.

✅ AI-Driven Cross-Chain Arbitrage – AI models will identify and execute profitable arbitrage trades across multiple networks, optimizing price differences.

📌 Future Expansion:

  • Cross-chain AI bridges will be developed to enable seamless AI execution across multiple blockchain ecosystems.

  • AI models will use real-time gas fee analysis to optimize execution costs across chains.

PreviousLong-Term Vision for $AUREUSNextAI and Machine Learning

Last updated 6 days ago