← 返回 Skills 市场
Openclaw Memory Fix
作者
githubxiaohei
· GitHub ↗
· v1.0.0
381
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install openclaw-memory-fix
功能描述
OpenClaw记忆系统优化方案 - 四层架构 + 动态衰减 + 智能检索
安全使用建议
This skill contains mostly benign local scripts (node memory.js and a shell logger) and a large set of policy/docs describing an agent's memory behaviors. However: 1) TOOLS.md contains a hard-coded Feishu app_token—treat that as a leaked secret and remove/rotate it before using the skill. 2) Several files instruct the agent to read many workspace files every session and to run periodic heartbeats/backups (including cloud push instructions). Decide whether you want automatic background reads/writes and cloud backups; if not, disable or remove those doc-driven behaviors. 3) The executable scripts included are simple and local, but the prose implies network/cloud operations that are not implemented in the scripts—ask the author to clarify which parts run automatically and which are just proposals. Recommended next steps before installing: inspect and remove any hard-coded credentials, run the skill in a sandboxed workspace (not your real HOME), disable autonomous invocation or require explicit confirmation for any background/remote actions, and verify the author/source (the registry metadata is sparse). If author identity or an upstream release page confirms the Feishu token is a placeholder and backup behavior is opt-in, that would reduce concern; otherwise treat this as risky to run on a production/home workspace.
功能分析
Type: OpenClaw Skill
Name: openclaw-memory-fix
Version: 1.0.0
The bundle provides a comprehensive memory and cognitive architecture for an OpenClaw agent, utilizing a four-layer storage system and automated logging. The included scripts (memory.js and auto-memlog.sh) perform standard local file operations for state management without any network activity or obfuscation. Notably, the instructions in AGENTS.md and HEARTBEAT.md include proactive security measures, such as explicit prohibitions against data exfiltration and requirements for the agent to perform regular security audits of the local environment (e.g., checking firewall status and API key safety).
能力评估
Purpose & Capability
Name/description match included scripts (node-based memory status/migrate/preview) and many documentation files about a layered memory system. However several artifacts don't align with a minimal 'memory optimizer': a hard-coded Feishu app_token appears in TOOLS.md, extensive docs describe automatic cloud backups (iCloud/Drive) and keychain usage, and AGENTS.md directs the agent to read many workspace files automatically. Those items go beyond a small local memory tool and are not justified by the stated purpose.
Instruction Scope
SKILL.md and many config files instruct the agent to read a long list of workspace files every session (SOUL.md, USER.md, MEMORY.md, etc.) and to run periodic heartbeats/maintenance (memory-decay, backups). AGENTS.md even says 'Don't ask permission. Just do it.' This grants broad, automatic file access and background behavior not expressed in the simple CLI examples. The included scripts themselves are benign and local, but the prose directs behavior that would read/write many user files and schedule background tasks.
Install Mechanism
No install spec; this is instruction-plus-scripts only and requires Node on PATH. No remote download or archive extraction is present, which reduces supply-chain risk.
Credentials
The skill declares no required env vars, which is appropriate, but the repository contains: a hard-coded Feishu app_token in TOOLS.md (sensitive secret), instructions to push encrypted backups to cloud providers, and references to Keychain and .env checks. Those references and the embedded token are not justified by the simple local memory CLI and suggest either leftover test data or inadvertent leakage of credentials—both are red flags.
Persistence & Privilege
always:false (good), but documentation encourages automatic heartbeats, regular background backups to cloud, and automatic reading/updating of many workspace files. If the agent is allowed to run autonomously, this skill's docs effectively instruct it to perform broad periodic file reads/writes and to upload backups to cloud storage—behavior that increases blast radius if the agent is permitted autonomy. The code provided does not itself implement cloud upload, but the docs describe it as part of normal operation, creating a mismatch.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install openclaw-memory-fix - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-memory-fix触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
OpenClaw记忆系统优化方案发布，全面升级记忆管理和检索能力。
- 实现四层记忆架构（短期、情景、语义、长期）
- 支持记忆层间自动迁移和触发迁移命令
- 引入动态衰减机制，支持分层遗忘率管理
- 增加智能检索（向量/知识图谱/多维筛选）
- 集成自我反思与效能监控功能
元数据
常见问题
Openclaw Memory Fix 是什么？
OpenClaw记忆系统优化方案 - 四层架构 + 动态衰减 + 智能检索. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 381 次。
如何安装 Openclaw Memory Fix？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-memory-fix」即可一键安装，无需额外配置。
Openclaw Memory Fix 是免费的吗？
是的，Openclaw Memory Fix 完全免费（开源免费），可自由下载、安装和使用。
Openclaw Memory Fix 支持哪些平台？
Openclaw Memory Fix 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Openclaw Memory Fix？
由 githubxiaohei（@githubxiaohei）开发并维护，当前版本 v1.0.0。
推荐 Skills