Memory Cache

High-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and JSON serialization for session context and API...

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Last updated: April 29, 2026

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Quick Start

Manual Installation

No automatic installation available. Please visit the source repository for installation instructions.

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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

Copy
```
env.example.txt
```
to
```
.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.

Memory Cache

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Quick Start

Manual Installation

TEAR & SHARE

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Memory Cache

Prerequisites

Setup

Core Workflows

1. Store and Retrieve

2. Search & Maintenance

Key Naming Convention

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