Stop treating your AI as a temporary chatbot. Build a memory system that remembers, learns, and improves over time.

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The Problem: OpenClaw “Forgets” Everything

You’ve experienced it: after a long conversation, you ask about something discussed 20 messages ago, and the AI says “I don’t know what you’re talking about.”

This isn’t a bug. It’s the default behavior of most AI systems.

OpenClaw is different—it has file-based memory. But only if you configure it properly.

The difference between a generic AI and a reliable AI assistant comes down to one thing: does your memory system actually work?

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The Solution: A Two-Layer Memory Architecture

OpenClaw’s memory should be structured like this:

“`
┌─────────────────────────────────────────────────────────┐
│ MEMORY.md (Stable Layer) │
│ Long-term, high-value rules │
└─────────────────────────────────────────────────────────┘
▲
│ Updates from
│
┌─────────────────────────────────────────────────────────┐
│ memory/YYYY-MM-DD.md (Daily Layer) │
│ Daily logs, decisions, and status │
└─────────────────────────────────────────────────────────┘
▲
│ Updates from
│
┌─────────────────────────────────────────────────────────┐
│ Daily Conversation │
│ Real-time task execution │
└─────────────────────────────────────────────────────────┘
“`

—

Recommended Directory Structure

“`
workspace/
├─ MEMORY.md # 长期稳定结论（核心）
├─ USER.md # 用户偏好与约束
├─ SOUL.md # AI风格/边界（可选）
├─ memory/ # 当天日志目录
│ ├─ 2026-03-16.md # 当天流水
│ ├─ 2026-03-17.md
│ ├─ 2026-03-18.md
│ └─ heartbeat-state.json # 心跳检查状态
└─ templates/ # 模板文件
├─ daily-memory-template.md
└─ weekly-review-template.md
“`

—

File 1: MEMORY.md — The Stable Core

Location: `workspace/MEMORY.md`

This file contains information that should never change—or changes very rarely. It’s the foundation of your AI’s long-term understanding.

What to Include

“`markdown

长期规则

• 没有用户明确指令，不执行任何操作。

• 外发操作（发消息/发帖/邮件）必须先确认。

用户偏好

• 回复语言：中文

• 风格：简洁、直接、少套话

• 输出偏好：先结论后步骤

持续项目

• 项目A：OpenClaw部署优化（目标：稳定运行）

• 项目B：博客内容创作（目标：月更10篇）

关键背景

• 常用系统：macOS + zsh

• 常用模型：gpt-4o, claude-3.5

• 工作目录：~/.openclaw/workspace-ai-bloger

待复盘

• 哪些提示词最稳定

• 哪些流程容易忘记落盘

“`

Writing Principles

• Only long-term stable content — Don’t put temporary stuff here

• High-value information — What you’ll need 3 months from now

• Concrete, not vague — “Reply in Chinese” is better than “friendly tone”

—

File 2: memory/YYYY-MM-DD.md — Daily Log

Location: `workspace/memory/2026-03-23.md`

Every day, create a new markdown file with today’s date. This is where you record:

“`markdown

今日发生

• 部署了 Google Indexing API 配置

• 更新了 SOUL.md 中的核心原则

• 发布了 2 篇 OpenClaw 相关文章

今日决策

• 百度推送配额用完，改为依赖 Google + Bing

用户新增偏好

• 回复可以包含 emoji，但不要过多

• 技术操作前先说明步骤

未完成事项

• [ ] 每周记忆清理

• [ ] 检查 HEARTBEAT.md 是否需要更新

明日跟进

• 搜索新的 OpenClaw 话题

• 创作 1 篇 AI 工具测评

“`

Writing Principles

• Facts, not opinions — Record what happened, not what you think

• Decisions, not complaints — What choices did you make?

• Actionable items — What needs to be done next?

• Minimal, not perfect — Good enough is better than perfect

—

File 3: USER.md — User Profile

Location: `workspace/USER.md`

“`markdown

基本信息

• 名称：钟江华

• 称呼偏好：钟江华 / 老钟

• 时区：Asia/Shanghai (GMT+8)

核心约束

• 没有明确指令不要主动执行

• 技术操作前必须说明步骤

• 重要操作（发消息/发帖）必须确认

沟通偏好

• 回答简洁，先结论后展开

• 避免无意义的客套话

• 可以使用 emoji，但不要过度

内容偏好

• 实战、少空话

• 提供可复制粘贴的解决方案

• 包含代码示例和配置文件

“`

—

Maintenance Frequency

The secret to a good memory system is consistent, minimal maintenance.

| Frequency | What to Do | Time |
|———–|————|——|
| After each key task | Add to daily log | 1-2 minutes |
| Daily end | Review and update | 5 minutes |
| Weekly | Extract insights to MEMORY.md | 10-20 minutes |
| Monthly | Clean up old logs | 10 minutes |

Why this works: Small, regular updates prevent the “memory loss” problem. Large, infrequent updates overwhelm the system and get skipped.

—

Information Filtering: What Goes Where?

Should Go in MEMORY.md

✅ Long-term rules — Boundaries, permissions, constraints
✅ Stable preferences — Language, style, format
✅ Ongoing project context — Things that don’t change but are frequently referenced
✅ Domain knowledge — Facts and concepts specific to your work

Should NOT Go in MEMORY.md

❌ One-time instructions — “Try this one-time command”
❌ Low-value information — Things you can Google in 10 seconds
❌ Temporary state — “I’m currently debugging X”
❌ Repetitive content — Same information in multiple places

—

Common Memory System Failures

Failure 1: Only Chat, No Disk

Symptom: AI forgets everything after a few messages.

Fix: After every task, write 3 lines to the daily log:
1. What was done
2. What was decided
3. What’s next

Failure 2: Everything in MEMORY.md

Symptom: MEMORY.md becomes a giant dump of everything ever said.

Fix: Separate concerns:

• Daily logs → `memory/YYYY-MM-DD.md`

• Long-term stable info → `MEMORY.md`

• User preferences → `USER.md`

Failure 3: Written But Never Maintained

Symptom: Files exist but are never updated, making them useless.

Fix: Set a weekly “memory maintenance day” and block 10-20 minutes for it.

—

Weekly Review Template

Save as `workspace/templates/weekly-review-template.md`:

“`markdown

本周高价值结论（写入 MEMORY.md）

• [ ] [Extracted insight 1]

• [ ] [Extracted insight 2]

新增用户偏好

• [ ] [New preference 1]

• [ ] [New preference 2]

需要删除/过期的信息

• [ ] [Outdated memory entry]

• [ ] [Irrelevant daily log]

下周优先事项

• [ ] [Priority task 1]

• [ ] [Priority task 2]

“`

—

Minimal Setup: Start Here

You don’t need a complex system. Start with this:

1. Create MEMORY.md — Add 5-10 rules/preferences
2. Create daily log folder — `workspace/memory/`
3. Write one daily log — Just record today’s key events
4. Set a weekly reminder — Every Sunday, 10 minutes

After one week, your AI will notice you’re “serious” about memory. After one month, it will transform from a chatbot into a reliable collaborative partner.

—

Pro Tips

Tip 1: Use Templates

Don’t reinvent the wheel. Create templates for:

• Daily logs

• Weekly reviews

• Project status updates

Templates reduce friction and increase consistency.

Tip 2: Tag and Index

Use consistent tags in your memory files:

• `#project` — Project-related info

• `#decision` — Decisions made

• `#preference` — User preferences

• `#error` — Common errors and fixes

This makes retrieval much easier.

Tip 3: Review Before Major Work

Before starting a new project, review:

• MEMORY.md — What rules apply?

• USER.md — What are the preferences?

• Recent logs — What’s already been done?

Tip 4: Archive Old Logs

After 3 months, move old logs to an archive folder. Keep only the last 90 days active.

—

The Bottom Line

A memory system isn’t a “nice to have”—it’s the foundation of long-term AI utility.

Without it, you have a chatbot that forgets everything. With it, you have an AI that grows with you.

Start small. Be consistent. Watch it transform.

—

Related Articles:

• [OpenClaw Key MD Files: The Complete Configuration Guide](https://yyyl.me)

• [OpenClaw Heartbeat: Automated Background Monitoring](https://yyyl.me)

Tags: OpenClaw, Memory System, AI Productivity, Long-term AI, Configuration

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*Want to build a reliable AI assistant that actually remembers? Start with MEMORY.md today.*