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在 OpenClaw 中安装
/install openclaw-memory-enhancer
功能描述
Edge-optimized RAG memory system for OpenClaw with semantic search. Automatically loads memory files, provides intelligent recall, and enhances conversations...
安全使用建议
This skill is instruction-only and does not include the actual Python files it references; installing it will require cloning the GitHub repo or running pip, which downloads code and possibly models. Before installing or running anything: (1) Inspect the GitHub repository (https://github.com/henryfcb/openclaw-memory-enhancer) — review the code, README, and license. (2) Confirm which directory the tool will read (memory/ and ~/.openclaw/workspace/knowledge-base/) and ensure it won't be pointed at sensitive system or personal files. (3) Be aware the 'edge' path claims zero network activity but the documented install steps and the 'standard' mode do require network access — expect downloads if you follow those steps. (4) If you need strong privacy, prefer the edge workflow only after reviewing the edge script to confirm it truly performs no external network calls. (5) If you are not comfortable auditing the repo, avoid cloning/running provided scripts or run them in an isolated environment (VM/container) first.
功能分析
Type: OpenClaw Skill
Name: openclaw-memory-enhancer
Version: 0.1.0
The OpenClaw Memory Enhancer skill documentation (`SKILL.md`) describes a local, privacy-focused memory system for AI agents. It explicitly states that all data is stored locally, with no network requests or external API calls. The instructions and usage examples detail local file operations (reading from a designated `memory/` directory, writing to `~/.openclaw/workspace/knowledge-base/`, searching, adding, exporting) which are consistent with its stated purpose. There are no indications of prompt injection attempts, data exfiltration, unauthorized command execution, or other malicious intent within the provided documentation.
能力评估
Purpose & Capability
The described capabilities (local semantic memory, auto-load from a memory/ folder, edge and standard versions) align with requiring only python3. However, the skill bundle contains no code files — SKILL.md references scripts (memory_enhancer_edge.py, memory_enhancer.py) and Python modules that are not included, so the instructions assume you'll fetch code from the GitHub homepage or ClawHub. This is plausible but worth noting.
Instruction Scope
The instructions direct the agent/user to load and automatically read all files from a 'memory/' directory and to store data under ~/.openclaw/workspace/knowledge-base/. That behavior is expected for a memory tool, but it can expose arbitrary local files if the directory is misconfigured or symlinked. The SKILL.md also asserts 'No network requests / No data leaves your device' while simultaneously documenting git clone and pip installs and an optional 'standard' mode that downloads models—this is a contradictory privacy claim that should be clarified.
Install Mechanism
There is no formal install spec in the bundle. The SKILL.md recommends git clone from a GitHub repo and (optionally) pip install for dependencies. Those are standard and traceable install mechanisms, but they will fetch code and packages from the network; verify the GitHub repository contents and maintainers before cloning or running scripts.
Credentials
The skill requests only python3 and declares no environment variables or credentials, which is proportionate to its stated purpose.
Persistence & Privilege
The skill does not request always: true and does not declare any elevated platform privileges. It is user-invocable and can be invoked autonomously by default, which is the normal platform behavior.
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-enhancer - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-memory-enhancer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
v0.1.0
- Initial release of openclaw-memory-enhancer.
- Adds semantic search and automatic memory file loading for OpenClaw.
- Enables intelligent, contextual recall of past conversations and knowledge.
- Two versions included: Edge (<10MB, Python stdlib, for Jetson/Raspberry Pi) and Standard (better accuracy, more resources).
- 100% local storage for privacy; no network or cloud required.
- Automatic management of memory files and support for several memory types (logs, instructions, Q&A, preferences, etc.).
元数据
常见问题
Openclaw Memory Enhancer 是什么？
Edge-optimized RAG memory system for OpenClaw with semantic search. Automatically loads memory files, provides intelligent recall, and enhances conversations... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 773 次。
如何安装 Openclaw Memory Enhancer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-memory-enhancer」即可一键安装，无需额外配置。
Openclaw Memory Enhancer 是免费的吗？
是的，Openclaw Memory Enhancer 完全免费（开源免费），可自由下载、安装和使用。
Openclaw Memory Enhancer 支持哪些平台？
Openclaw Memory Enhancer 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 Enhancer？
由 henry（@henryfcb）开发并维护，当前版本 v0.1.0。
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