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OpenClaw 实用建议:实现 AI Agent 的自我改进与果断决策

📅 2026-03-16 08:41 meng shao 人工智能 4 分鐘 4847 字 評分: 83
OpenClaw AI Agent Prompt Engineering 自我改进 自动化运维
📌 一句话摘要 为非开发背景用户提供三个优化 OpenClaw Agent 的技巧:建立自我改进机制、实现自动崩溃修复及赋予果断性格。 📝 详细摘要 推文针对 AI Agent 工具 OpenClaw 提出了三条进阶使用建议。首先,通过创建 `.learnings/` 文件夹记录错误与教训,构建 AI 的“长期记忆”以避免重复犯错;其次,利用 Claude Code 等工具通过 SSH 远程调试实现自动修复崩溃,降低维护门槛;最后,通过编辑 `SOUL.md` 消除 Agent 表达的模棱两可,提升决策效率。这些方法旨在增强 Agent 的可靠性、自主性和实用性。 📊 文章信息 AI 评
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OpenClaw Practical Tips: Enabling AI Agent Self-Improvement and Decisive Action ===============================================================================

OpenClaw Practical Tips: Enabling AI Agent Self-Improvement and Decisive Action =============================================================================== ![Image 2: meng shao](https://www.bestblogs.dev/en/tweets?sourceId=SOURCE_65e681) ### meng shao

@shao__meng

给非开发背景的朋友们三个 OpenClaw 实用建议:让它自己修复、自己学习、自己做决定

  • 实现自我改进机制
关键实践:创建 .learnings/ 文件夹,包含 ERRORS.md (记录每起故障及其上下文)和 LEARNINGS.md(记录每次修正)。在 AGENTS.md 中添加指令:“完成任何任务后,检查 .learnings/ 中相关历史错误;任何故障后,立即记录。”

这个方法模拟人类学习过程,避免 Agents 重复错误。通过文件化反馈循环,Agents 逐步积累知识,提升长期可靠性。适用于迭代任务场景,如自动化工作流,体现了 AI 的“记忆”强化策略。

  • 实现 100% 崩溃修复率
关键实践:Agents 崩溃时,避免手动调试,而是向 Claude Code 或 Codex 等提供指令:“我的 OpenClaw [无响应/缓慢/出错]。SSH 进入机器,阅读日志,排查问题。行动前制定计划。”

这个技巧降低技术门槛,让非开发者也能维护复杂系统,体现了 Agents 间协作的“Meta Agent”概念,适用于生产环境下的故障管理。

  • 赋予意见性风格
关键实践:编辑 SOUL.md(OpenClaw 的核心个性文件),添加规则:“采取立场,从不模棱两可(如‘你可以做X或Y’);保持简洁,无赘述;不确定时,仅问一个澄清问题,然后执行。”

默认 OpenClaw 性格会更礼貌和听话,这个优化使其更果断、高效。类似于人类决策训练,增强 Agents 的实用性和用户体验,避免信息过载。适用于需要快速响应的应用,如咨询或自动化决策。Show More

!Image 3: Tweet image

!Image 4: Corey Ganim

#### Corey Ganim

@coreyganim · 2d ago

3 OpenClaw tips that took me months to figure out:

  • Make it self-improve
Create a .learnings/ folder with:
  • ERRORS.md → Log every failure with context
  • LEARNINGS.md → Log every correction you make
Add this to your AGENTS.md:

"After completing ANY task, check .learnings/ for relevant past errors. After ANY failure, log it immediately."

Your agent stops making the same mistake twice.

  • 100% fix rate for crashes
When OpenClaw breaks, don't debug manually. Point Claude Code at your files:

"My OpenClaw agent is [not responding / slow / erroring]. SSH into my machine, read the logs, and troubleshoot. Build a plan before taking action."

I've never written code. This works every time.

  • Make it opinionated
Edit your SOUL.md:

"- Take a stance. Never hedge with "you could do X or Y"

  • Be concise. No filler phrases.
  • When unsure, ask one clarifying question, then execute."
Default OpenClaw is polite but vague. Fix that.

Steal these. Your agent will thank you.Show More

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Mar 16, 2026, 12:41 AM View on X

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4,442 Views ![Image 5: meng shao](https://www.bestblogs.dev/en/tweets?sourceid=65e681) meng shao @shao__meng

One Sentence Summary

Provides three optimization tips for non-developer users of OpenClaw Agents: establishing a self-improvement mechanism, achieving automatic crash repair, and imparting a decisive personality.

Summary

This tweet offers three advanced usage tips for the AI Agent tool OpenClaw. Firstly, it suggests creating a .learnings/ folder to record errors and lessons, building AI's "long-term memory" to prevent repeated mistakes. Secondly, it recommends using tools like Claude Code for remote SSH debugging to automatically fix crashes, lowering the maintenance barrier. Finally, it advises editing SOUL.md to eliminate ambiguous Agent expressions and improve decision-making efficiency. These methods aim to enhance the Agent's reliability, autonomy, and practicality.

AI Score

83

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OpenClaw

AI Agent

Prompt Engineering

Self-Improvement

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OpenClaw Practical Tips: Enabling AI Agent Self-Improveme... ===============

查看原文 → 發佈: 2026-03-16 08:41:51 收錄: 2026-03-16 12:00:49

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