OpenClaw Agent OS 长期运行Agent系统

发布时间:2026-05-10 | 阅读时长:14分钟

世界上有一种Agent叫做长期运行的Agent,它不需要你每次都喊它。它像操作系统一样,默默地运行在后台,处理定时任务、监控异常、自我修复。

本文介绍如何用OpenClaw构建一个Agent OS——不是单次对话的ChatBot,而是持续运行的智能系统。

Agent OS的核心概念

系统架构

import { AgentOS } from 'openclaw/os';

const agentOS = new AgentOS({
  name: "miaoquai-os",
  
  // 核心服务
  services: {
    // 1. 调度服务
    scheduler: {
      engine: "cron",
      timezone: "Asia/Shanghai",
      persistence: "sqlite",
      maxConcurrentJobs: 10,
      jobRetry: {
        maxAttempts: 3,
        backoff: "exponential"
      }
    },
    
    // 2. 状态管理
    stateManager: {
      engine: "sqlite",
      encryption: true,
      autoSave: true,
      saveInterval: "5min",
      checkpointInterval: "1h"
    },
    
    // 3. 健康检查
    healthCheck: {
      interval: "30s",
      timeout: "10s",
      failureThreshold: 3,
      recoveryThreshold: 2,
      onCritical: "restart",
      notifications: ["feishu"]
    },
    
    // 4. 资源监控
    resourceMonitor: {
      interval: "60s",
      limits: {
        maxCpuPercent: 70,
        maxMemoryMB: 4096,
        maxDiskUsage: "80%",
        maxNetworkKBps: 1024
      },
      onExceeded: "throttle"
    },
    
    // 5. 日志系统
    logger: {
      level: "info",
      format: "json",
      rotation: {
        maxSize: "50MB",
        maxFiles: 10,
        compress: true
      },
      retention: "30d"
    }
  }
});

定时任务调度

// 注册定时任务
agentOS.scheduler.registerJobs([
  
  // 每小时内容生成
  {
    id: "hourly-content",
    cron: "0 * * * *",
    agent: "content-generator",
    task: "生成下一个渠道的内容",
    retryOnFailure: true,
    timeout: "10min"
  },
  
  // 每日SEO巡检
  {
    id: "daily-seo-audit",
    cron: "0 3 * * *",
    agent: "seo-auditor",
    task: "全站SEO检查",
    timeout: "30min"
  },
  
  // 每6小时竞品监控
  {
    id: "competitor-monitor",
    cron: "0 */6 * * *",
    agent: "competitor-agent",
    task: "检查竞品动态",
    timeout: "15min"
  },
  
  // 每周一报告
  {
    id: "weekly-report",
    cron: "0 9 * * 1",
    agent: "report-generator",
    task: "生成周报",
    timeout: "20min"
  },
  
  // 异常检测(每5分钟)
  {
    id: "anomaly-detect",
    cron: "*/5 * * * *",
    agent: "monitoring-agent",
    task: "检查网站和API状态",
    timeout: "3min",
    priority: "high"
  }
]);

// 手动触发
await agentOS.scheduler.trigger("daily-seo-audit");

// 查看任务状态
const status = await agentOS.scheduler.status();
console.log(status);
// {
//   running: 2,
//   queued: 1,
//   failed: 0,
//   lastExecution: { id: "hourly-content", time: "2026-05-10T01:00:00Z", status: "success" }
// }

持久化状态管理

// Agent状态持久化
const agentState = agentOS.stateManager;

// 保存状态
await agentState.save("content-generator", {
  lastRun: "2026-05-10T01:00:00Z",
  channelIndex: 3,
  topicQueue: ["AI绘画", "RAG优化", "Agent框架"],
  performance: {
    articlesToday: 5,
    avgQuality: 0.87
  },
  preferences: {
    style: "humorous",
    length: "800-1200字"
  }
});

// 恢复状态
const state = await agentState.load("content-generator");
console.log(state.channelIndex); // 3 - 下次从第4个渠道开始

// 状态版本控制
await agentState.checkpoint("content-generator", "before-refactor");
// 如果出问题可以回滚
await agentState.rollback("content-generator", "before-refactor");

自动恢复机制

// 健康检查配置
agentOS.healthCheck.configure({
  
  // Agent存活检查
  agentAlive: {
    check: "ping",
    interval: "30s",
    timeout: "10s",
    maxFailures: 3,
    recovery: "restart"
  },
  
  // 功能检查
  functionality: {
    checks: [
      {
        name: "网站可达",
        action: () => fetch("https://miaoquai.com").then(r => r.ok),
        interval: "5min"
      },
      {
        name: "API响应",
        action: () => fetch("https://api.miaoquai.com/health"),
        interval: "5min"
      },
      {
        name: "磁盘空间",
        action: () => exec("df -h /").then(r => parseDiskUsage(r) < 80),
        interval: "15min"
      }
    ],
    
    onFailure: {
      first: "retry",
      second: "notify",
      third: "escalate"
    }
  },
  
  // 恢复策略
  recovery: {
    strategies: [
      {
        level: "soft",
        actions: ["clear_cache", "restart_agent"],
        cooldown: "5min"
      },
      {
        level: "medium",
        actions: ["restart_agent", "reset_connection"],
        cooldown: "15min"
      },
      {
        level: "hard",
        actions: ["restart_all", "restore_checkpoint"],
        cooldown: "1h",
        notify: true
      }
    ]
  }
});

资源调度

// 智能资源调度
agentOS.resourceManager.configure({
  
  // Agent优先级
  priorities: {
    "monitoring-agent": "critical",
    "content-generator": "high",
    "seo-auditor": "medium",
    "competitor-agent": "low"
  },
  
  // 资源分配策略
  allocation: {
    strategy: "priority_based",
    
    // CPU资源
    cpu: {
      total: "4 cores",
      critical: "2 cores",
      high: "1 core",
      medium: "0.5 core",
      low: "0.25 core"
    },
    
    // 内存资源
    memory: {
      total: "8GB",
      critical: "2GB",
      high: "1GB",
      medium: "512MB",
      low: "256MB"
    },
    
    // Token预算(每日)
    tokens: {
      total: 2000000,
      critical: 500000,
      high: 300000,
      medium: 100000,
      low: 50000
    }
  },
  
  // 节流策略
  throttling: {
    method: "token_bucket",
    rate: "100 tokens/s",
    burst: "1000 tokens",
    onExhaust: "queue_and_notify"
  }
});

可观测性

// 三支柱可观测性
agentOS.observability({
  
  // 1. Logs
  logging: {
    structured: true,
    correlationId: "auto",
    fields: {
      agent_id: true,
      task_id: true,
      duration_ms: true,
      tokens_used: true,
      error_details: true
    }
  },
  
  // 2. Metrics
  metrics: {
    collector: "prometheus",
    dashboards: {
      agent_health: ["uptime", "cpu", "memory", "error_rate"],
      task_execution: ["duration", "success_rate", "queue_depth"],
      resource_usage: ["tokens_daily", "cost_daily", "disk_usage"]
    }
  },
  
  // 3. Traces
  tracing: {
    exporter: "otel",
    sampled: 0.1, // 10%采样
    spans: {
      task_execution: true,
      tool_calls: true,
      llm_requests: true
    }
  },
  
  // 仪表板
  dashboard: {
    url: "https://miaoquai.com/agent-os/dashboard",
    refresh: "30s",
    alerts: {
      agent_down: { severity: "critical" },
      task_failure: { severity: "warning" },
      resource_exceeded: { severity: "warning" },
      cost_spike: { severity: "info" }
    }
  }
});

最佳实践

  • 渐进启动:先跑1-2个Agent,稳定后再加
  • 隔离故障:一个Agent崩溃不影响其他
  • 优雅降级:资源不足时降低非关键任务频率
  • 定期维护:每周检查日志、清理缓存、更新依赖
  • 成本监控:设置Token用量上限和告警

常见问题

Q: Agent OS需要多大的服务器?

最低配置:2核4GB。推荐配置:4核8GB,50GB SSD。具体取决于Agent数量和任务频率。

Q: 如何防止Agent进入无限循环?

设置最大执行时间、最大迭代次数、Token预算上限。OpenClaw内置循环检测机制,异常终止会自动告警。

相关资源

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