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Openclaw Memory Fix
by
githubxiaohei
· GitHub ↗
· v1.0.0
381
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Install in OpenClaw
/install openclaw-memory-fix
Description
OpenClaw记忆系统优化方案 - 四层架构 + 动态衰减 + 智能检索
Usage Guidance
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.
Capability Analysis
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).
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openclaw-memory-fix - After installation, invoke the skill by name or use
/openclaw-memory-fix - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Openclaw Memory Fix?
OpenClaw记忆系统优化方案 - 四层架构 + 动态衰减 + 智能检索. It is an AI Agent Skill for Claude Code / OpenClaw, with 381 downloads so far.
How do I install Openclaw Memory Fix?
Run "/install openclaw-memory-fix" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Openclaw Memory Fix free?
Yes, Openclaw Memory Fix is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Openclaw Memory Fix support?
Openclaw Memory Fix is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Openclaw Memory Fix?
It is built and maintained by githubxiaohei (@githubxiaohei); the current version is v1.0.0.
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