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PythonReactSEOPDF
OpenClaw

Memory Cache

Memory Cache

1999azzar0 installations selon la source☆ 0 Étoiles du dépôt
Voir la source ↗InstallationSKILL.md ↗

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install 1999azzar/memory-cache

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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.
  2. Configure your connection in .env.
  3. Dependencies are listed in requirements.txt.

Core Workflows

1. Store and Retrieve
  • Store: python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py set mema:cache:<name> <value> [--ttl 3600]
  • Fetch: python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py get mema:cache:<name>
2. Search & Maintenance
  • Scan: python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py scan [pattern]
  • Ping: python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py ping

Key Naming Convention

Strictly enforce the mema: prefix:

  • mema:context:* – Session state.
  • mema:cache:* – Volatile data.
  • mema:state:* – Persistent state.

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/1999azzar/memory-cache
Version
—
Commit
d307d3d6d356f86b9ce0fda3e169b3b1468d85d8
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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`.
2. Configure your connection in `.env`.
3. Dependencies are listed in `requirements.txt`.

## Core Workflows

### 1. Store and Retrieve
- **Store**: `python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py set mema:cache:<name> <value> [--ttl 3600]`
- **Fetch**: `python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py get mema:cache:<name>`

### 2. Search & Maintenance
- **Scan**: `python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py scan [pattern]`
- **Ping**: `python3 $WORKSPACE/skills/memory-cache/scripts/cache_manager.py ping`

## Key Naming Convention
Strictly enforce the `mema:` prefix:
- `mema:context:*` – Session state.
- `mema:cache:*` – Volatile data.
- `mema:state:*` – Persistent state.

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