A smart session summary hook that automatically extracts and archives structured insights from your AI interactions into daily markdown logs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install session-memory-structured
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 session-memory-structured 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 Session Memory Structured?
Session Memory Structured is a specialized tool designed for the Openclaw Skills ecosystem. It serves as a session summary hook that activates whenever a user resets or starts a new session. By analyzing the immediate history of user and assistant interactions, it cleanses and distills complex dialogues into a clean, four-part structured summary.
This skill is essential for developers and power users who need to maintain a persistent, searchable trail of their AI-assisted workflows without manual copying. By archiving these insights into daily markdown files within a dedicated memory directory, it ensures that your context is never lost and your long-term project knowledge remains accessible.
Session Memory Structured Use Cases
- Automatically documenting coding sessions and architectural decisions after a task is completed.
- Maintaining a daily developer journal by archiving AI interactions into date-based markdown files.
- Streamlining context handovers when switching between different projects or focus areas within Openclaw Skills.
- Creating a searchable history of prompts and solutions for long-term knowledge management.
How Session Memory Structured Works
- The skill monitors for the specific Openclaw Skills events:
command:neworcommand:reset. - Upon trigger, it reads the local session file from your machine to capture the most recent message history.
- It processes the text through your configured LLM service to filter noise and extract key takeaways.
- It generates a standardized four-part structured summary based on the session content.
- The final summary is appended to a file located at
memory/YYYY-MM-DD.mdwithin your workspace.
Session Memory Structured Setup
To install this skill within your Openclaw environment, use the following steps:
# Navigate to your Openclaw skills directory
cd path/to/openclaw/skills
# Clone or download the session-memory-structured skill
# Ensure your workspace has a 'memory' folder created
mkdir -p memory
Note: Ensure your model service is correctly configured in your global settings, as this skill utilizes your active LLM to perform the summarization.
Session Memory Structured Data Schema & Taxonomy
The skill maintains a highly organized directory structure to ensure easy retrieval of past session data. Summaries are stored using a temporal taxonomy:
| File Path | Description | Format |
|---|---|---|
memory/YYYY-MM-DD.md |
Daily log file containing all session summaries for that specific date. | Markdown |
Summary Structure:
- Context: The initial state or problem being addressed.
- Actions: Key steps taken during the session.
- Results: The final outcome or solution achieved.
- Next Steps: Pending tasks or follow-up items for future sessions.
Session Memory Structured Advanced Features
- Event-driven automation triggered specifically by session lifecycle commands.
- Local-first processing that respects privacy by using your own configured model endpoints.
- Structured four-block output optimized for both human readability and future AI context re-injection.
- Zero hard-coded API keys in the project directory for enhanced security.
SKILL.md
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