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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AI Agent Framework

The integration of AI Agents with blockchain capabilities opens new realm of possibilities. The decentralized nature of blockchain enhances the autonomy and trustworthiness of AI Agents, allowing them to execute tasks with a higher degree of security and efficiency. In the Gryphon AI ecosystem, this translates into more reliable and transparent agent operations, from data handling to transaction execution.

Reflecting principles outlined by AI expert Andrew Ng, the table below presents the essential elements of autonomous agent systems in Gryphon AI: Planning, Reflection, Tools, and Multi-Agent Systems, all adapted for effective blockchain integration.

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Last updated 3 months ago