lifeos-memory
Gives your OpenClaw a powerful dashboard-ready memory system with milestones, prompt engineering, and Obsidian compatibility. Creates structured projects with milestones and tasks, expands simple prompts into detailed agent instructions, and maintains a backlog system for intelligent fact extraction.
Why use this skill?
Transform OpenClaw into a powerful, milestone-driven productivity system. Organize projects, expand prompts into agent instructions, and sync with Obsidian.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/7d-codes/lifeos-memoryWhat This Skill Does
LifeOS Memory is a comprehensive organizational framework designed for OpenClaw to transform a loose collection of tasks into a structured, milestone-driven productivity ecosystem. It manages project life cycles by categorizing tasks into hierarchical projects and milestones, allowing you to maintain a clean workspace. The skill utilizes a unique prompt-engineering pipeline that converts casual requests into detailed, agent-specific instructions, ensuring your primary agent remains efficient while delegating complex sub-tasks to specialized sub-agents. It also integrates a fact-extraction layer that periodically processes daily logs to store universal truths in a structured JSON schema, while maintaining Obsidian-compatible formatting for seamless note-taking.
Installation
To integrate LifeOS Memory into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/7d-codes/lifeos-memory
Ensure you have your workspace initialized, as the skill will automatically generate the required directory tree under ~/.openclaw/workspace/, including subdirectories for daily logs, project metadata, and task-specific JSON definitions.
Use Cases
- Project Management: Track complex multi-phase projects like university applications or software development with granular milestone tracking and deadline management.
- Knowledge Management: Use the daily backlog system to capture scattered thoughts, which the agent then automatically extracts into searchable facts and actionable tasks.
- Contextual Continuity: Maintain long-term memory across sessions, ensuring the agent knows the context of your previous work without needing a full prompt refresh.
Example Prompts
- "Start a new project for 'personal-website' and create a milestone for 'design-research' with high priority."
- "Extract all project facts from yesterday's daily notes and update the project meta files accordingly."
- "I need to finish the 'writing' milestone for 'blog-post-series'. Create a task for drafting the introduction and provide a detailed agent instruction set for it."
Tips & Limitations
Tips: Always use the [[note]] syntax to link your tasks to other files, as this maximizes the compatibility with Obsidian. Regularly review the memory-index.json to ensure your project identifiers are consistent. For the best performance, schedule an overnight review to validate your project structures and ensure your backlog is being cleaned periodically.
Limitations: This skill is highly structured and requires a consistent directory naming convention. Modifying the file structure manually may cause index mismatches in the graph visualization. The skill assumes you are comfortable with basic filesystem management through OpenClaw.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-7d-codes-lifeos-memory": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read