A high-performance caching utility designed to store and reuse frequently accessed context fragments to minimize AI processing overhead.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install context-memoize-cache
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install context-memoize-cache using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Context Memoize Skill?
The Context Memoize Skill is a technical utility built to enhance the efficiency of AI agents by locally caching essential context fragments. In the world of Openclaw Skills, managing token consumption and processing speed is critical; this skill addresses those needs by providing a persistent file-based storage system for frequently reused data.
By saving specific fragments of a conversation or project context, users can ensure that their AI agents have immediate access to historical or foundational data without the need for repetitive re-processing. This not only speeds up response times but also ensures consistency across multiple agent sessions, making it an indispensable tool for complex development workflows.
Context Memoize Skill Use Cases
- Reducing token costs by caching large documentation fragments instead of re-sending them in every prompt.
- Maintaining architectural context across different coding sessions to ensure code quality.
- Storing session-specific variables or business logic that the AI needs to remember long-term.
- Accelerating agent startup times by pre-loading essential environment context via Openclaw Skills integrations.
How Context Memoize Skill Works
- The user provides a command such as "memoize this context" to trigger the caching mechanism.
- The skill captures the specified content fragment from the active session.
- The captured data is appended to a local markdown file located at ~/.openclaw/context-cache/fragments.md.
- During the initialization of a new agent session, the startup script checks for the existence of this cache file.
- If found, the cached fragments are automatically injected into the session context, providing the agent with immediate background knowledge.
Context Memoize Skill Setup
To get started with this skill in your Openclaw Skills setup, follow these configuration steps:
# Create the required directory for context storage
mkdir -p ~/.openclaw/context-cache/
# Verify or create the fragments file
touch ~/.openclaw/context-cache/fragments.md
To ensure your agents automatically benefit from the cache, add the following logic to your session startup configuration (AGENTS.md):
if [ -f ~/.openclaw/context-cache/fragments.md ]; then
cat ~/.openclaw/context-cache/fragments.md
fi
Context Memoize Skill Data Schema & Taxonomy
The skill utilizes a streamlined file-system taxonomy to manage its data efficiently:
| Attribute | Value | Description |
|---|---|---|
| Storage Path | ~/.openclaw/context-cache/ | The primary directory for cached artifacts. |
| Data Format | Markdown (.md) | Allows for human-readable and agent-parsable context storage. |
| Primary File | fragments.md | An aggregate file containing all saved context strings. |
| Management | CLI-based | Users can list or delete the cache using standard bash commands. |
Context Memoize Skill Advanced Features
- Multi-lingual support for triggers including both English and Chinese commands.
- Seamless integration with session startup hooks for automated context injection.
- Persistent file-based caching that survives agent reboots and system restarts.
- Lightweight footprint optimized for high-speed Openclaw Skills development environments.
SKILL.md
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