first build nexus

This commit is contained in:
billyshen
2026-03-23 20:57:45 +08:00
parent acb58c5684
commit e312026141
400 changed files with 52448 additions and 0 deletions

View File

@@ -0,0 +1,574 @@
#openclaw #agent #telegram
```table-of-contents
```
---
# OpenClaw 多 Agent 自动化系统架构笔记 (Advanced)
Author: Billy
Purpose: 构建基于 OpenClaw + Telegram + n8n 的 AI 自动化控制系统
---
# 1 系统总体架构
**目标:**
构建一个 **AI Automation Control Center**
**核心组件:**
- OpenClaw Gateway
- 多 Agent
- Telegram Interface
- n8n Workflow Engine
**系统架构:**
```
Telegram
Telegram Bot
n8n
(Command Router)
OpenClaw Gateway
┌────────┬────────┬────────┐
▼ ▼ ▼ ▼
Router Dev Research Ops
Agent Agent Agent Agent
```
**系统功能:**
| 组件 | 作用 |
|------|------|
| Telegram | 用户交互 |
| n8n | 任务路由 |
| OpenClaw | AI Agent Runtime |
| Agents | 任务执行 |
---
# 2 OpenClaw 基础目录结构
**默认路径:** `~/.openclaw/`
**结构:**
```
.openclaw/
├── agents/
│ │
│ ├── main/
│ │ └── agent/
│ │ ├── authprofile.json
│ │ └── models.json
│ │
│ └── research/
│ └── agent/
│ ├── authprofile.json
│ └── models.json
└── workspace/
├── skills/
├── memory/
├── identity/
│ └── Identity.md
├── logs/
├── devices/
├── completions/
└── canvas/
```
**说明:**
| 目录 | 作用 |
|------|------|
| agents | Agent Profile |
| workspace | 运行数据 |
| skills | 技能插件 |
| memory | AI记忆 |
| identity | System Prompt |
| logs | 日志 |
---
# 3 多 Agent 设计
**创建 Agent**
```bash
openclaw agent create dev
openclaw agent create research
openclaw agent create ops
openclaw agent create orchestrator
```
**推荐 Agent 列表:**
| Agent | 职责 |
|-------|------|
| orchestrator | 任务调度 |
| dev | 编程 |
| research | 搜索分析 |
| ops | 服务器运维 |
| data | 数据处理 |
**推荐结构:**
```
agents/
├── orchestrator/
├── dev/
├── research/
├── ops/
└── data/
```
---
# 4 Agent Identity 设计
Identity 代表System Prompt
**建议放在:** `agents/dev/agent/identity.md`
**示例:**
```
You are DevAgent.
Responsibilities:
- write code
- debug programs
- generate scripts
- create docker configurations
```
**Research Agent**
```
You are ResearchAgent.
Responsibilities:
- research information
- summarize technical topics
- analyze documents
```
---
# 5 Skills 机制
**Skills 目录:** `workspace/skills`
**示例:**
```
skills/
├── browser
├── filesystem
├── python
├── telegram
└── self-improving-agent
```
**特点:**
- 所有 Agent 共享
- 类似插件
---
# 6 Memory 设计
**默认 memory** `workspace/memory`
默认共享。
**memory 类型:**
```
memory/
├── episodic
├── semantic
└── vector
```
**推荐 Memory 分层:**
```
memory/
├── system
├── dev
├── research
└── ops
```
这样避免memory pollution
**Agent 指定 namespace**
```json
{
"memoryNamespace": "dev"
}
```
---
# 7 模型配置
每个 Agent 独立:`agents/<agent>/agent/models.json`
**示例:**
```json
{
"default": "gpt-4o-mini",
"models": {
"gpt-4o-mini": {
"provider": "openai",
"model": "gpt-4o-mini"
},
"deepseek-coder": {
"provider": "openai-compatible",
"base_url": "https://api.deepseek.com/v1",
"model": "deepseek-coder"
}
}
}
```
**推荐模型分配:**
| Agent | Model |
|-------|-------|
| orchestrator | gpt-4o-mini |
| dev | deepseek-coder |
| research | gpt-4o |
| ops | claude-sonnet |
**优点:**
- 降低成本
- 提升能力
---
# 8 Agent 切换
**切换 active agent**
```bash
openclaw agent use research
```
**行为:**
```
current_agent = research
```
下一条消息:
```
Telegram → research agent
```
不需要重启 Gateway。
---
# 9 Telegram 集成
OpenClaw 支持Telegram Bot
**结构:**
```
Telegram
OpenClaw Gateway
```
**默认:** 所有消息 → active agent
---
# 10 Telegram 指令体系
**推荐命令:**
```
/dev
/research
/ops
/data
/help
```
**示例:**
```
/dev 写一个python脚本
/research 查一下OpenClaw架构
/ops restart docker
```
在 BotFather 设置:`/setcommands`
**示例:**
```
dev - coding tasks
research - research tasks
ops - server tasks
```
---
# 11 n8n Command Router
推荐使用n8n 进行任务路由。
**架构:**
```
Telegram
n8n
OpenClaw
```
**Workflow**
```
Telegram Trigger
Parse Command
Agent Router
HTTP → OpenClaw
```
**解析示例:**
```javascript
const msg = $json.message.text
if(msg.startsWith("/dev")){
return {agent:"dev"}
}
if(msg.startsWith("/research")){
return {agent:"research"}
}
```
---
# 12 Router Agent
Router Agent 负责Task Distribution
**Prompt 示例:**
```
You are a routing agent.
Rules:
/dev → DevAgent
/research → ResearchAgent
/ops → OpsAgent
```
---
# 13 推荐系统架构
Mac Mini AI Control Center
```
Mac Mini
├─ OpenClaw Gateway
├─ n8n
└─ Telegram Bot
Agents
├─ orchestrator
├─ dev
├─ research
├─ ops
└─ data
```
**数据流:**
```
Telegram
n8n Router
OpenClaw
Agents
```
---
# 14 高级玩法
**支持:**
### 多服务器 Agent
```
Mac Mini
orchestrator
Ubuntu Server
dev agent
NAS
data agent
```
**通信:**
```
HTTP
Redis
MQ
```
---
# 15 最佳实践
### 1 Agent 专业化
**正确:**
```
dev-agent
ops-agent
research-agent
```
**错误:**
```
python-agent
browser-agent
```
---
### 2 模型分工
不要所有 agent 使用同一个模型。
**否则:**
```
multi-agent ≈ single-agent
```
---
### 3 Memory 分层
**推荐:**
```
memory/
├── system
├── dev
├── research
└── ops
```
---
### 4 Router 统一入口
**不要:**
```
Telegram → 各 agent
```
**应该:**
```
Telegram → Router → Agents
```
---
# 16 最终架构总结
**最终系统:**
```
Telegram
n8n Router
OpenClaw Gateway
┌──────────────┬──────────────┬──────────────┐
DevAgent ResearchAgent OpsAgent
```
**系统特点:**
- 多 Agent
- 多模型
- 自动任务分发
- Telegram 控制
- 自动化工作流
---
# 17 未来扩展
**未来可扩展:**
- AI 自动任务
- 自动服务器运维
- 自动代码生成
- 自动数据分析
- 自动监控告警
**目标:** 构建 Personal AI Operations Center