# 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