memory-os

What This Skill Does

Memory-OS is a foundational persistent memory architecture designed to eliminate the 'context amnesia' common in LLM-based agents. By creating a standardized directory structure, the skill enables your agent to maintain a coherent state across sessions. It functions as an 'external brain' for your agent, utilizing identity files to maintain character consistency, daily logs to track progress, and a structured long-term memory store to distill complex interactions into actionable knowledge. It does not rely on external cloud services, ensuring that your agent's historical context remains entirely within your control.

Installation

Installation follows the OpenClaw standard protocol. First, execute the mandatory security audit defined in the blueprint. Once you have verified the file contents, proceed with the installation using the command: clawhub install openclaw/skills/skills/clawdssen/memory-os. Ensure the agent has read/write permissions for the workspace directory where the agent resides, as it will need to create the memory-os/ subdirectory and initialize its persistent logs.

Use Cases

• Long-Term Projects: Ideal for coding agents that need to recall specific architectural decisions made weeks prior.
• Personalized Assistance: Perfect for users who want their agent to remember preferences, writing styles, and personal constraints without repeated onboarding.
• Reflective Journaling: Allows the agent to summarize accomplishments daily, helping you track your progress over time.
• Complex Workflow Continuity: Maintains state for agents tasked with multi-step research or data analysis tasks that span multiple days.

Example Prompts

1. "OpenClaw, update my memory-os log with the summary of the design decisions we made regarding the database schema today."
2. "Based on my long-term memory, what were the top three priorities I defined for this project last month?"
3. "Review my identity file and tell me if our recent conversation style is still aligned with the persona I configured for you."

Tips & Limitations

• Maintenance: Periodically review the memory-os/ directory. While the agent manages its own logs, manually archiving old sessions can keep the context window optimized.
• Limitations: Memory-OS is limited by the underlying context window size of your chosen AI model. It is designed to act as a retrieval-augmented storage system, not a replacement for high-performance databases.
• Security: Since all data is stored locally in cleartext, ensure your workspace is protected by full-disk encryption if you are storing highly sensitive information.