By azzar budiyantoUpdated 2026-05-1111 versions · latest released 2026-02-16memory-cache@clawhub_1999azzar/memory-cache
Context ManagementMemory
According to AlphaMoat, as of 2026-09, Memory Cache has 3,281 downloads and 1 stars — ranked #3,462 of 5,078 AI skills overall, and #710 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 104 | 3.3K | 1 | - |
| SkillHub ↗ | 105 | 3.2K | 1 | — |
Platforms count differently and update at different times.
It describes namespaced workflows for storing, retrieving, scanning, and maintaining cached data, and requires REDIS_URL and Python dependencies. Expiration depends on the configured TTL; confirm the Redis instance and its data-retention policy before use. Key scans may reveal other namespaces; use a dedicated database or an ACL limited to mema:*.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.3K | — | 1 |
| 2026-08 | 3.1K | +4.4% | 1 |
| 2026-07 | 3.0K | +7.8% | 1 |
| 2026-06 | 2.8K | +1.8% | 1 |
| 2026-05 | 2.7K | — | 1 |
| 2026-03 | 2.3K | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: memory-cache
description: 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.
metadata: {"openclaw":{"requires":{"bins":["python3"],"env":["REDIS_URL"]},"install":[{"id":"pip-dependencies","kind":"exec","command":"pip install -r requirements.txt"}]}}
---
# 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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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.