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Llm Memory Interface Only

Name: Llm Memory Interface Only
Author: xkzs2007

作者 xkzs2007 · GitHub ↗ · v9.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

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在 OpenClaw 中安装

/install llm-memory-interface-only

功能描述

LLM Memory Integration - 纯接口包。提供 Memory、Search、Vector 接口定义，实现由私有包提供。

使用说明 (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

安全使用建议

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.

能力标签

requires-sensitive-credentials

能力评估

✓ 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.

ℹ 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.

ℹ 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.

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 llm-memory-interface-only
安装完成后，直接呼叫该 Skill 的名称或使用 /llm-memory-interface-only 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

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。

元数据

Slug llm-memory-interface-only

版本 9.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题