Gryphon AI
  • GryphonAI. Executive Summary
  • The Integration Challenge of AI in Blockchain and Web 3.0
  • Gryphon AI's Solution
  • Scope of AI Services
  • Network Participants and Contributors
    • Service Providers (SPs)
    • Client Providers (CPs)
    • Users
    • Trust Guardians
    • Code and Model Creators
    • Community Contributors
    • AI Agents
  • Overview Technical Architecture
  • Decentralized AI Network
    • Network Design and Functionality
      • Peer-to-Peer Network Operations
      • Data Handling and System Integrity
    • Distributed Database
    • Gryphon Nodes
      • Full and Light Nodes
      • Node Architecture
      • Connectivity Layer
      • Functional Layer
      • Core Layer
  • Gryphon Identity Management and Reputation System
    • Decentralized ID Registry
    • Managing Identity Verification
    • Service Discovery
    • Reputation System
    • Payment Orchestration
  • AI Agent Framework
    • Core concepts and definitions
    • Gryphon AI Agent Structure
    • Blockchain Specific Toolsets and Frameworks
    • Distributed Agent Builder
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  1. AI Agent Framework

Core concepts and definitions

This section outlines the core concepts that define AI agents in Gryphon AI, rooted in foundational principles adapted from widely recognized frameworks in artificial intelligence. “AI Agents” are digital entities with semi-autonomous capabilities, capable of executing designated tasks or services. Gryphon AI develops specialized tools and frameworks tailored for blockchain applications, aimed at augmenting the autonomy of AI Agents within the blockchain ecosystem. To guide AI agent development within Gryphon AI, the following core principles according to Amazon are applied:

  1. Sensory Perception: AI agents must be capable of sensing and perceiving their environment to gather necessary information.

  2. Informed Decision-Making: The agents should use the data obtained from their environment to make informed decisions.

  3. Action-Oriented: Decisions must translate into actions that are executed by the agents in the blockchain environment.

  4. Rationality: Actions undertaken should be rational, aiming to optimize performance and achieve the most favorable outcomes.

Building on these principles, Gryphon AI classifies AI agents into five distinct categories. Each category reflects a different level of capability and intelligence, catering to specific types of tasks within the blockchain framework.

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Last updated 3 months ago