memory-cache内存缓存系统

High-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and session context caching. Use for: (1) Saving agent state, (2) Caching API results, (3) Sharing data between sub-agents.

作者: admin | 来源: ClawHub

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V 1.1.9

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概述

安装方式

版本历史

memory-cache

Memory Cache

Standardized Redis-backed caching system for OpenClaw agents.

Prerequisites

- Binary: python3 must be available on the host.
Credentials: REDIS_URL environment variable (e.g., redis://localhost:6379/0).

Setup

1. Copy env.example.txt to .env.
Configure your connection in .env.
Dependencies are listed in requirements.txt.

Core Workflows

1. Store and Retrieve

- Store: INLINECODE7
Fetch: INLINECODE8

2. Search & Maintenance

- Scan: INLINECODE9
Ping: INLINECODE10

Key Naming Convention

Strictly enforce the mema: prefix:

- mema:context:* – Session state.
INLINECODE13 – Volatile data.
INLINECODE14 – Persistent state.

通过对话安装

该技能支持在以下平台通过对话安装：

OpenClaw WorkBuddy QClaw Kimi Claude

方式一：安装 SkillHub 和技能

帮我安装 SkillHub 和 memory-cache-1776420081 技能

方式二：设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源，然后帮我安装 memory-cache-1776420081 技能

通过命令行安装

skillhub install memory-cache-1776420081

下载

⬇ 下载 memory-cache v1.1.9（免费）

文件大小: 5.32 KB | 发布时间: 2026-4-17 20:16

v1.1.9 最新 2026-4-17 20:16

Simplified implementation: removed wrapper script, declared dependencies clearly in metadata, and ensured full manifest inclusion. Addressed all audit flags.