1.6 基础理论
定义
- 伯克利教材《AI Agents》。N8N 博客介绍 AI 智能体工作流。

flowchart TD
%% --- 样式(安全) ---
classDef env fill:#f7e8f0,stroke:#c2185b,stroke-width:2px,rx:12,ry:12,color:#111;
classDef agent fill:#e8f7f0,stroke:#0f9d58,stroke-width:2px,rx:12,ry:12,color:#111;
classDef comp fill:#e6f0fb,stroke:#1a73e8,stroke-width:1.5px,rx:8,ry:8,color:#111;
classDef action fill:#fff5cc,stroke:#eab308,stroke-width:1.5px,rx:8,ry:8,color:#111;
%% --- 环境 ---
subgraph ENV["环境"]
PERCEPTS["感知输入"]
ACTIONS["动作"]
end
class ENV env
%% --- 智能体 ---
subgraph AG["AI 智能体"]
S["传感器<br/>(输入、API、webhook)"]
PERCEPTION["感知层<br/>(预处理、嵌入)"]
KB["知识库 / 记忆<br/>(事实、向量、状态)"]
REASON["推理引擎<br/>(LLM+提示词、规则、RL)"]
PLAN["规划与目标<br/>(分解、调度)"]
LEARN["学习模块<br/>(反馈、微调、RL)"]
ACT["执行器<br/>(API、命令、输出)"]
end
class AG agent
class S,PERCEPTION,KB,REASON,PLAN,LEARN,ACT comp
%% --- 流程 ---
PERCEPTS --> S --> PERCEPTION --> KB
PERCEPTION --> REASON
KB --> REASON
REASON --> PLAN --> ACT
LEARN --> KB
LEARN --> REASON
ACT --> ACTIONS
- LangChain 创始人 Harrison 对智能体的定义
- 环境智能体(Ambient Agents):环境智能体持续监听事件流并据此行动,可同时处理多个事件。
- 12-Factor Agents——构建可靠 LLM 应用的原则


