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中式智慧记忆引擎
作者
skillforge-jojo
· GitHub ↗
· v1.0.0
· MIT-0
73
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当前安装
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版本数
在 OpenClaw 中安装
/install mflow-memory-cn
功能描述
中式智慧记忆引擎 — 基于M-flow知识图谱的长期记忆系统，融合中国人的优秀基因： **仁** — 以用户为中心，理解情感与意图 **义** — 识别责任与承诺，主动履行约定 **礼** — 懂分寸、知进退，适当时机适当行动 **智** — 深度关联推理，举一反三 **信** — 建立信任档案，言行一致追踪 相...
安全使用建议
Before installing: 1) Confirm which requirements are authoritative (the registry metadata or SKILL.md). SKILL.md requests Docker and an LLM_API_KEY — only provide the key if you trust the skill and understand how it will be used. 2) Inspect the referenced setup script (~/.openclaw/skills/mflow-memory/scripts/setup.sh) before running it; it may run containers or arbitrary commands. 3) Review bundled code (already included) and any scripts for network calls or unexpected behavior; the provided modules store data in ~/.mflow-memory-cn — consider privacy implications. 4) Ensure required Python packages (e.g., python-dateutil) will be installed securely or preinstall them in a controlled environment. 5) If you are unsure, run the skill in a sandboxed environment (isolated user account or container) or ask the author for an explicit install manifest and a reproducible, auditable installation script. If you need, I can list the exact files/lines to inspect in the setup script or check the truncated parts of wisdom_engine.py for external network calls.
功能分析
Type: OpenClaw Skill
Name: mflow-memory-cn
Version: 1.0.0
The mflow-memory-cn skill is a sophisticated memory and personality engine that implements a 'Chinese Wisdom' framework (Ren, Yi, Li, Zhi, Xin) for AI agents. It tracks user interactions, emotional states, promises, and relationship levels to provide context-aware responses. All data is stored locally in the user's home directory (~/.mflow-memory-cn) using JSONL files, and the code lacks any network communication, unauthorized file access, or malicious execution patterns. The instructions in SKILL.md are entirely focused on defining the agent's behavioral persona and memory management logic, aligning perfectly with the stated purpose of the skill.
能力标签
能力评估
Purpose & Capability
The skill's name/description (a culturally‑aware long‑term memory engine) matches the included Python modules (memory store, promise tracker, relationship manager, timing, wisdom). Requiring an LLM API key and Docker (as declared in SKILL.md) is plausible for enhanced inference and installing the original M-flow, but the registry metadata shown at the top lists no required env vars or binaries — that is inconsistent. The skill also declares 'extends: mflow-memory' (depends on another skill); this dependency is reasonable but should be explicit in registry metadata.
Instruction Scope
SKILL.md instructs running an external setup script: bash ~/.openclaw/skills/mflow-memory/scripts/setup.sh (i.e., running code from another skill's path). That script could execute arbitrary actions on the host. The instructions ask the agent to use Docker and to enhance/augment the original mflow-memory installation; they do not instruct reading unrelated system files, but directing the agent to run a local setup script in the user's skill directory is a high‑impact operation and should be audited before running.
Install Mechanism
There is no formal install spec even though multiple Python source files are bundled. The SKILL.md requires Docker and calls an external setup script from ~/.openclaw/skills/mflow-memory/scripts/setup.sh (which may not exist and could perform arbitrary installs). Lack of a documented, reproducible install step (and shipping code without package/dependency metadata) increases risk because it's unclear how these files will be deployed/executed and what additional components (containers, pip packages) will be installed.
Credentials
SKILL.md declares LLM_API_KEY which is proportionate for a memory engine that may call a language model. No other credentials are requested. However, the registry summary earlier listed no required env vars (mismatch). The Python code shown writes data under the user's home (~/.mflow-memory-cn) and uses third‑party libraries (e.g., dateutil) that are not declared in the skill metadata — missing dependency declarations are a practical/deployment concern and could cause the skill to attempt to install packages at runtime.
Persistence & Privilege
The skill does not request always:true and appears to store data only under ~/.mflow-memory-cn (per-module files). That is expected for a memory system. However, the runtime instructions to run another skill's setup script and use Docker imply the ability to alter system state and install services/containers; combining persistent storage with external setup scripts increases the blast radius and should be reviewed.
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 mflow-memory-cn - 安装完成后，直接呼叫该 Skill 的名称或使用
/mflow-memory-cn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
Initial release: 五常记忆法融合中国人优秀基因
元数据
常见问题
中式智慧记忆引擎 是什么？
中式智慧记忆引擎 — 基于M-flow知识图谱的长期记忆系统，融合中国人的优秀基因： **仁** — 以用户为中心，理解情感与意图 **义** — 识别责任与承诺，主动履行约定 **礼** — 懂分寸、知进退，适当时机适当行动 **智** — 深度关联推理，举一反三 **信** — 建立信任档案，言行一致追踪 相... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 73 次。
如何安装 中式智慧记忆引擎？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install mflow-memory-cn」即可一键安装，无需额外配置。
中式智慧记忆引擎 是免费的吗？
是的，中式智慧记忆引擎 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
中式智慧记忆引擎 支持哪些平台？
中式智慧记忆引擎 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 中式智慧记忆引擎？
由 skillforge-jojo（@skillforge-jojo）开发并维护，当前版本 v1.0.0。
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