YokoCTO Agent
  • Welcome to YokoCTO
  • Getting Started
    • Manifesto
  • Key Features
  • Ecosystem Overview
    • Sonic
    • Yoko
    • YokoCTO's Position in the Ecosystem
  • YokoCTO Architecture
    • Architecture Overview
      • MCP Server
        • Model Layer (Deep-Seek R1)
        • Knowledge Base
        • API Gateway
      • MCP Client (Agent)
        • Agent Core
        • Input Processing
        • Tool Integration
        • Memory & State
        • Output Generation
      • Data Flow and Processing
    • Capabilities and Tools
    • Content Generation
  • Token
    • Token Bonded
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  1. YokoCTO Architecture
  2. Architecture Overview
  3. MCP Server

Knowledge Base

YokoCTO's knowledge base consists of two complementary database systems:

  • Vector Database: Stores information as high-dimensional vectors, enabling semantic search and retrieval of related concepts, market events, and historical patterns

  • Graph Database: Maintains relationships between entities in the crypto ecosystem (projects, founders, investors, technologies) to provide context-aware insights

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Last updated 1 month ago