Praxis AI
  • Empowering Decentralized Intelligence
  • INTRODUCTION
    • Core Mission and the ULTIMATE END GOAL
    • The Current State of AI Agent Development: Key Challenges
  • PRAXIS AI Solution
    • Solution
    • Technical Architecture
  • PRXAI TOKEN
    • Tokenomics Overview
    • Token Utility
    • Long-term Sustainability
    • Security
    • Governance
  • Agent Creation
    • Create an Agent
  • conclusion
    • Summary
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  1. PRAXIS AI Solution

Technical Architecture

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Last updated 4 months ago

1 AI Agent Framework

AI agents in the PRAXIS AI ecosystem are built on modular frameworks, allowing:

  • Scalability: Agents can handle increasing workloads as demand grows.

  • Interoperability: Agents communicate seamlessly with external systems.

2 Blockchain Layer

The blockchain layer ensures:

  • Smart Contracts: Facilitate trustless interactions between participants.

  • Decentralized Storage: Store agent configurations and non-sensitive data securely.

  • Governance: Token holders can propose and vote on ecosystem changes.

3 Marketplace

The PRAXIS Marketplace enables (future feature):

  • Trading: Buy and sell AI agents.

  • Customization: Purchase pre-trained models and tools.

  • Monetization: Developers earn $PRXAI for deploying high-performing agents.