Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
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johnalbertini14-glitch/openclaw-skills22026年2月26日 更新
免费在 GitHub 公开
memory-cache
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.
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集成工具Redis
查看安装方法包含的文件（7）
- SKILL.md1.4 KB
- _meta.json633 B
- env.example.txt208 B
- references/key-standards.md1.3 KB
- requirements.txt34 B
- scripts/cache_manager.py7.7 KB
- scripts/cache.sh509 B
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
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.
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