📄 中文摘要
大多数 OpenClaw 定时任务代理在每次运行时都像金鱼一样，定期执行相同的检查，发送相同的警报，并在下一个周期中忘记一切。监控代理每次运行时都标记相同的过期 PR，因为它不知道昨天已经通知过。通过使用 MemoClaw，可以构建一个能够记住上一次运行的定时任务代理，跳过冗余工作，并随着时间的推移变得更智能。该代理的工作流程包括唤醒、检查、警报和结束，然而，传统的定时任务代理在每个周期中没有记忆，导致重复的工作和低效的监控。
构建一个能够从自身运行中学习的定时任务代理
出处: Building a cron agent that learns from its own runs
发布: 2026年3月6日
📄 English Summary
Building a cron agent that learns from its own runs
Most OpenClaw cron jobs operate like goldfish, running every 30 minutes, performing the same checks, sending the same alerts, and forgetting everything by the next cycle. The monitoring agent flags the same stale PR every run because it lacks memory of previous notifications. This issue can be addressed by implementing MemoClaw, allowing a cron agent to recall its last run, skip redundant tasks, and become smarter over time. The typical workflow involves waking up, checking the status, alerting if necessary, and then terminating. However, traditional cron agents lack memory, leading to repetitive tasks and inefficient monitoring.