Remember

What This Skill Does

The Remember skill for OpenClaw transforms your AI agent from a transient chatbot into a persistent assistant that evolves alongside your workflows. Instead of hoarding every piece of data, the Remember skill implements a sophisticated curation framework designed to prioritize high-value information. By organizing data into functional domains—such as commitments, preferences, and corrections—the agent can effectively distinguish between transient noise and core knowledge. The skill utilizes a structured approach to memory hygiene, ensuring that as you interact, your agent learns from past mistakes, remembers your specific style preferences, and maintains awareness of ongoing project states. This ensures that the agent provides context-aware assistance, reducing the need for repetitive instructions and enabling a truly personalized long-term partnership.

Installation

To integrate this persistent memory architecture into your OpenClaw environment, execute the following command in your terminal or command interface:

clawhub install openclaw/skills/skills/ivangdavila/remember

Once installed, the skill will initialize the local storage directory structure, creating the base files for commitments, preferences, and context management as outlined in the documentation.

Use Cases

• Project Management: Track complex project statuses and deadlines, allowing the agent to remind you of pending commitments without requiring manual status updates.
• Personalized Development: Define coding styles, libraries you prefer, and specific project architecture constraints so the agent produces code that aligns with your standards every time.
• Feedback Loops: Record corrections after a mistake, ensuring the agent learns to avoid specific patterns that didn't work for you in previous iterations.
• Stakeholder Context: Maintain a registry of team members, their roles, and how they relate to specific projects to improve communication clarity during multi-user sessions.

Example Prompts

1. "Remember that for all future Python projects, I prefer using Pydantic for data validation and strict type hinting."
2. "What are the active commitments I have for the Alpha Project, and are any of them nearing their deadline?"
3. "Forget that instruction about the output format; let's switch back to a standard bulleted list for everything."

Tips & Limitations

To maximize the effectiveness of the Remember skill, adopt a habit of explicit feedback. When you notice the agent making an error, phrase your correction as a "remember" event to cement the change. Be mindful that memory hygiene is essential; use the provided pruning tools periodically to move completed projects to archives, preventing the active working memory from becoming cluttered. Limitations include a dependency on consistent usage—if you do not provide feedback on what to keep, the agent's ability to prioritize is diminished. Furthermore, exercise caution with highly sensitive information; while the memory is local, it persists in the agent's file system, so ensure your local environment security is sufficient for the data you store.