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中式智慧记忆引擎
by
skillforge-jojo
· GitHub ↗
· v1.0.0
· MIT-0
73
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Install in OpenClaw
/install mflow-memory-cn
Description
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...
Usage Guidance
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.
Capability Analysis
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.
Capability Tags
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mflow-memory-cn - After installation, invoke the skill by name or use
/mflow-memory-cn - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: 五常记忆法融合中国人优秀基因
Metadata
Frequently Asked Questions
What is 中式智慧记忆引擎?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 73 downloads so far.
How do I install 中式智慧记忆引擎?
Run "/install mflow-memory-cn" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 中式智慧记忆引擎 free?
Yes, 中式智慧记忆引擎 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 中式智慧记忆引擎 support?
中式智慧记忆引擎 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 中式智慧记忆引擎?
It is built and maintained by skillforge-jojo (@skillforge-jojo); the current version is v1.0.0.
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