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

Data Flow and Processing

Input → Processing → Output

  1. Input Collection:

    • Twitter mentions and relevant discussions are captured

    • On-chain data is continuously monitored

    • Crypto news feeds are analyzed for significant events

  2. Data Processing:

    • The Agent Core evaluates incoming data for relevance and priority

    • High-priority items are routed to the MCP Server for analysis

    • The Deep-Seek R1 model performs reasoning and analysis

    • Knowledge bases provide contextual information

  3. Output Generation:

    • Analysis results are formatted for Twitter

    • Media content (memes, videos) is generated when appropriate

    • Tweets and replies are posted according to relevance and timing

PreviousOutput GenerationNextCapabilities and Tools

Last updated 1 month ago