📖Agent: The Next-Generation App

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Unlike traditional Internet apps that simply "return a result when you tap a button," an Agent in the AI era can understand context, make autonomous decisions, and execute tasks.
A mature Agent usually comprises four core "organs": Environment, Perception, Brain, and Action. They mesh together like gears to form a closed loop, allowing the Agent to truly operate in the world.
  1. Environment
      2. The external world in which the Agent lives. Through the Agent Prompting Interface, the Agent perceives and receives all kinds of information from the environment—including user commands, physical-world cues, and the behavior of other entities.
  1. Perception
      2. Handles and fuses multimodal inputs from the environment—text, images, audio, etc. It converts raw data into vector representations consumed by the planning engine. A well-designed perception system ensures that the Agent accurately understands both environmental states and user intents.
  1. Brain
      2. The core decision center, made up of:
      • Long-Term Memory Processor
        • Efficiently extracts relevant experiences and reflections
        • Dynamically adjusts personality traits
        • Maintains world-knowledge context
        • Manages working memory
      • Planning Engine
        • Works in tandem with the dialogue module
        • Invokes on-chain wallet operations
        • Draws up action plans and decisions
        • Evaluates outcomes and feeds back
      • Knowledge Storage
        • Memory Store: short-term interaction data
        • Knowledge Base: long-term system knowledge
        • Continuous learning to keep improving
  1. Action
      2. Executes the Agent’s decisions:
      • Text Output: conversational replies
      • Tool Calls: external APIs & services
      • Physical Interaction: control robots or other devices
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The overall architecture forms a full feedback loop for continuous optimization:
  • Perceive environmental input
  • Analyze and understand information
  • Plan and decide on actions
  • Execute and evaluate
  • Update the knowledge base
  • Optimize future decisions
Modular design enables creators to plug & play components with ease. An Agent can tackle complex tasks and continually improve via feedback—meeting highly individualized needs far better than legacy apps.
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