OpenClaw
10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Memory Cache
Memory Cache
Installation
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install 1999azzar/memory-cacheExaminez 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.
Instructions
Memory Cache
Standardized Redis-backed caching system for OpenClaw agents.
Prerequisites
-
Binary:
python3must be available on the host. -
Credentials:
REDIS_URLenvironment variable (e.g.,redis://localhost:6379/0).
Setup
- Copy
env.example.txtto.env. - Configure your connection in
.env. - 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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