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Install in OpenClaw
/install mempalace-assistant
Description
MemPalace记忆系统助手 - 基于老四的AI记忆系统。提供结构化记忆存储、快速检索、记忆组织等功能。适用于需要持久化知识、跨会话记忆、语义搜索等场景。
Usage Guidance
Before installing or enabling this skill: 1) Ask the author which Python package provides the 'mempalace' module and verify its source and trustworthiness; 2) Confirm which runtime (Windows 'py' or other Python) is required — the SKILL.md examples assume 'py -3.13'; 3) Ask where the memory data is stored (local path, database, cloud) and whether data is ever sent to external services; 4) If you must run it, install and test the mempalace module in a sandbox or isolated environment first; 5) If you need the skill to be self-contained, request an install spec or packaged release from the author. These steps will reduce surprises caused by the metadata/instruction mismatches.
Capability Analysis
Type: OpenClaw Skill
Name: mempalace-assistant
Version: 1.0.0
The skill bundle provides instructions for an AI agent to interact with a memory management system called 'MemPalace' using a Python CLI module. The SKILL.md file outlines standard operations such as searching, adding, and exporting memory entries without any evidence of malicious intent, data exfiltration, or harmful prompt injections. A local file path reference (D:\coze-local\...) suggests the tool is designed for a specific local environment.
Capability Assessment
Purpose & Capability
Name and description (structured memory, search, persistence) align with the instructions' commands (search/add/list/export). However the SKILL.md's runtime examples invoke 'py -3.13 -m mempalace' which implies a Python module and the Windows 'py' launcher; the skill metadata lists no required binaries or install steps, so there is a mismatch between required runtime components and declared requirements.
Instruction Scope
Instructions are focused on memory operations and do not explicitly instruct reading unrelated system files or environment variables. One provenance line cites a local path (D:\coze-local\simple-agent\skills_learned\mempalace.md) — this suggests the skill was derived from a local file and may depend on local artifacts, but the SKILL.md does not instruct the agent to read that path. The instructions leave unspecified where the mempalace module stores data or whether it sends data externally.
Install Mechanism
There is no install spec (instruction-only), which is low-risk in general, but inconsistent with the examples that require a Python module 'mempalace' and a specific Python launcher. The skill provides no guidance on how to obtain/install that module, so an operator would need to install external code out-of-band.
Credentials
The skill declares no required environment variables, credentials, or config paths. Nothing in SKILL.md asks for secrets or unrelated credentials.
Persistence & Privilege
always is false and there are no install hooks or claims of modifying other skills or system-wide settings. Autonomous invocation is allowed (default) but not combined with other high-risk factors.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mempalace-assistant - After installation, invoke the skill by name or use
/mempalace-assistant - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
初始版本 - 结构化记忆存储和检索
Metadata
Frequently Asked Questions
What is MemPalace记忆系统助手?
MemPalace记忆系统助手 - 基于老四的AI记忆系统。提供结构化记忆存储、快速检索、记忆组织等功能。适用于需要持久化知识、跨会话记忆、语义搜索等场景。 It is an AI Agent Skill for Claude Code / OpenClaw, with 36 downloads so far.
How do I install MemPalace记忆系统助手?
Run "/install mempalace-assistant" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is MemPalace记忆系统助手 free?
Yes, MemPalace记忆系统助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does MemPalace记忆系统助手 support?
MemPalace记忆系统助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created MemPalace记忆系统助手?
It is built and maintained by 534422530 (@534422530); the current version is v1.0.0.
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