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Install in OpenClaw
/install llm-memory-interface-only
Description
LLM Memory Integration - 纯接口包。提供 Memory、Search、Vector 接口定义，实现由私有包提供。
README (SKILL.md)
LLM Memory Integration - 纯接口包
⚠️ 重要说明
本包为纯接口定义包，不包含任何实现代码。
| 组件 | 本包 | 私有包 |
|---|---|---|
| 接口定义 | ✅ | - |
| 实现代码 | ❌ | ✅ |
| 网络访问 | ❌ | ✅ |
| 原生扩展 | ❌ | ✅ |
接口列表
MemoryInterface
记忆管理接口：add, get, update, delete, list
SearchInterface
搜索接口：search, hybrid_search, fts_search
VectorInterface
向量接口：embed, embed_single, similarity, batch_embed
获取完整实现
# 克隆私有包
git clone https://cnb.cool/llm-memory-integrat/llm.git
# 或查看私有包说明
# https://cnb.cool/llm-memory-integrat/llm
使用示例
from src.interfaces import MemoryInterface, SearchInterface, VectorInterface
# 实现这些接口
class MyMemory(MemoryInterface):
def add(self, content, metadata=None):
# 你的实现
pass
# ... 其他方法
纯接口包 v9.0.0 - 无实现、无风险
Usage Guidance
This package appears to be a harmless, interface-only library. Before you install or run anything from the external implementation repository referenced in the README (https://cnb.cool/llm-memory-integrat/llm.git): 1) Inspect that implementation's code for network calls, subprocess usage, or credential consumption; 2) Prefer cloning from trusted/official hosts when possible; 3) If the implementation requires API keys (VectorConfig.api_key), only provide keys with appropriate least privilege and rotate them if needed; 4) Treat the cnb.cool repository as unverified until you audit it or obtain the implementation from a known source. If you only need the abstract interfaces and will implement them yourself, no additional risk is introduced by this package.
Capability Tags
Capability Assessment
Purpose & Capability
The name/description say this is a pure interface package and the included Python files are abstract base classes and dataclasses defining Memory, Search, and Vector interfaces. No unrelated binaries, env vars, or capabilities are requested — the declared purpose matches the code.
Instruction Scope
SKILL.md consistently states this is an interface-only package with no network/file/subprocess usage, and runtime instructions do not ask the agent to read local secrets. However, the README suggests cloning an external private repository (https://cnb.cool/llm-memory-integrat/llm.git) to obtain implementations. That cloning step would be a network operation performed by the user (not the skill itself) and is optional, so the skill's runtime instructions remain limited; still, the documentation claim 'network: false' is slightly misleading because it points users to an external repo.
Install Mechanism
There is no install spec and no code that would be executed at install time. The package.json references a repository URL hosted on cnb.cool (an external/unfamiliar domain). While the skill itself doesn't auto-download code, the README's guidance to git clone that URL means installing the implementation would involve fetching code from an unvetted host — review that implementation before running it.
Credentials
The skill declares no required environment variables or credentials. The VectorConfig dataclass includes optional fields like api_key and base_url, which is reasonable for an interface (implementations may require keys), but the interface package itself does not request or store secrets.
Persistence & Privilege
The skill does not request persistent/always-on presence (always: false) and does not modify other skills or system settings. Autonomous invocation is allowed by default (disable-model-invocation: false) but this is standard and not a red flag here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install llm-memory-interface-only - After installation, invoke the skill by name or use
/llm-memory-interface-only - Provide required inputs per the skill's parameter spec and get structured output
Version History
v9.0.0
纯接口包：移除所有实现代码，仅保留接口定义。无网络访问、无hooks、无原生扩展。
Metadata
Frequently Asked Questions
What is Llm Memory Interface Only?
LLM Memory Integration - 纯接口包。提供 Memory、Search、Vector 接口定义，实现由私有包提供。 It is an AI Agent Skill for Claude Code / OpenClaw, with 79 downloads so far.
How do I install Llm Memory Interface Only?
Run "/install llm-memory-interface-only" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Llm Memory Interface Only free?
Yes, Llm Memory Interface Only is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Llm Memory Interface Only support?
Llm Memory Interface Only is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Llm Memory Interface Only?
It is built and maintained by xkzs2007 (@xkzs2007); the current version is v9.0.0.
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