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Memory Structure

Enable AI to learn from mistakes and never repeat them. Error tracking, layered memory, regular self-reflection, continuous improvement.
让人工智能从错误中学习,永不重犯。错误追踪、分层记忆、定期自省、持续改进。
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未分类 clawhub v1.0.4 1 版本 100000 Key: 无需
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概述

Skill: memory-structure

Name

memory-structure

Function

Copy existing memory structure to new environments, enabling other Agents to use the same memory system.

Use Cases

  • Quickly set up self-improvement framework for new Agents
  • Unify memory organization across multiple Agents
  • Establish standardized self-reflection process

Skill Contents

This skill includes:

FileDescription
-------------------
memory.mdMain memory file: preferences, patterns, rules (HOT tier)
corrections.mdError correction log: "what I got wrong" and correct answers
index.mdMemory index: tracks all memory file updates
heartbeat-state.mdHeartbeat state: records self-reflection check timestamps and results
heartbeat-rules.mdHeartbeat rules: defines triggers and execution logic for self-reflection
setup.mdSetup guide: installation and configuration instructions

Usage

1. Install Skill

Using ClawHub:

clawhub install memory-structure

2. Initialize Memory Structure

Create memory directory in target workspace:

mkdir -p ~/self-improving/{domains,projects,archive}

Then manually create the following files (copy template contents below):

3. Regular Self-Reflection

After completing important tasks, Agent should update heartbeat-state.md with reflection results.

Core Concepts

  • HOT Tier: Memory files are hot-tier, high-frequency access
  • Corrections Log: Errors are the source of improvement, must be recorded
  • Heartbeat: Regular self-reflection to check if memory structure needs updates

Dependencies

  • No external dependencies
  • Requires file system write permission
  • Heartbeat interval configured in OpenClaw config (default: 30 minutes)

版本历史

共 1 个版本

  • v1.0.4 当前
    2026-03-30 23:29 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

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