A local caching skill that saves frequently used context fragments to minimize redundant processing and token usage in AI agent sessions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install context-memoize
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 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?
Context Memoize is a specialized utility designed to enhance the memory persistence of AI coding agents. By providing a mechanism to store and retrieve specific context fragments, it allows developers to maintain continuity across multiple sessions without manually re-entering background information. As a lightweight component of the Openclaw Skills ecosystem, it leverages simple file-based storage to ensure that your most critical project context is always available when you need it.
This skill addresses the common challenge of context window limitations and repetitive prompting. By memoizing specific fragments, the agent can quickly reload established parameters, architectural decisions, or business logic, making it an indispensable tool for long-term project maintenance within Openclaw Skills.
Context Memoize Skill Use Cases
- Reducing token consumption by caching large documentation or code snippets.
- Preserving architectural guidelines across separate AI agent interactions.
- Pre-loading session-specific environment data during agent initialization.
- Managing multiple context fragments for complex, multi-stage development workflows.
How Context Memoize Skill Works
- The user initiates the caching process using a trigger phrase such as memoize this context.
- The skill captures the relevant context fragment from the current session.
- The fragment is appended to a persistent local file located at ~/.openclaw/context-cache/fragments.md.
- During subsequent agent startups, the integration script checks for the existence of this file.
- If fragments exist, they are automatically piped into the agent's initial context, restoring the memoized information.
Context Memoize Skill Setup
To get started with this skill within your Openclaw Skills environment, ensure the storage directory is initialized:
mkdir -p ~/.openclaw/context-cache/
You can then integrate the loading mechanism into your AGENTS.md session startup configuration to ensure cached data is always available.
Context Memoize Skill Data Schema & Taxonomy
The skill utilizes a straightforward directory structure to manage stored fragments:
| Path | Purpose | Format |
|---|---|---|
~/.openclaw/context-cache/ |
Primary storage directory for cached data | Directory |
fragments.md |
Cumulative storage of all saved context snippets | Markdown |
AGENTS.md |
Integration point for loading fragments at runtime | Shell Script |
Context Memoize Skill Advanced Features
- Session Startup Hooks: Automatically injects historical fragments into new agent sessions via AGENTS.md.
- Multilingual Trigger Support: Recognizes both English and Chinese commands for broader accessibility.
- Simple Cache Control: Easy management of stored data through standard CLI commands to list or clear the fragment cache.
- Low-Latency Retrieval: Uses local file system I/O for near-instantaneous context loading compared to cloud-based alternatives.
SKILL.md
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