Architecture of Agents

A standardized classification of AI capabilities provides clarity for developers, operators, and stakeholders:

• Level 0: Follower

  • Function: Rule-based

  • Decision-Making: None

  • Adaptation: None

  • Reasoning: None

  • Memory: None

  • Example: Macros, scripted bots

• Level 1: Executor

  • Function: Basic responder, stateless AI

  • Decision-Making: Reactive

  • Adaptation: Minimal

  • Reasoning: None

  • Memory: Stateless

  • Example: Auto tweet replies

• Level 2: Actor

  • Function: Context-aware AI, uses tools

  • Decision-Making: Tool selection

  • Adaptation: Short-term context

  • Reasoning: Basic

  • Memory: Session-level

  • Example: Social media content manager AI

• Level 3: Planner

  • Function: Goal-based AI

  • Decision-Making: Plan creation

  • Adaptation: Reflective execution

  • Reasoning: Strong

  • Memory: Persistent

  • Example: Project manager AI

• Level 4: Innovator

  • Function: Novel creation

  • Decision-Making: Independent innovation

  • Adaptation: Self-improving

  • Reasoning: Advanced

  • Memory: Learning-enabled

  • Example: Creative tool developer

• Level 5: Orchestrator

  • Function: Multi-agent coordinator

  • Decision-Making: Emergent intelligence

  • Adaptation: Workflow optimizer

  • Reasoning: Systems management

  • Memory: Complex memory graph

  • Example: Distributed AI manager

• Level 6: Meta

  • Function: Self-evolving AI

  • Decision-Making: Meta-level innovation

  • Adaptation: Autonomous architecture redesign

  • Reasoning: Meta-reasoning

  • Memory: Meta-memory

  • Example: Self-improving AGI