ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified productivity Safety 4/5

memos-recall

Recall memories from MemOS Cloud before responding. Use this skill when you need context about user's previous conversations, preferences, or decisions.

Why use this skill?

Enhance your OpenClaw agent with MemOS Recall. Automatically retrieve past conversations, project context, and user preferences for a more personalized and consistent AI experience.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/huamu668/huamu668-memos-cloud
Or

What This Skill Does

The memos-recall skill serves as the long-term memory bridge for your OpenClaw agent. By integrating with the MemOS Cloud platform, this skill allows the agent to search through your past interactions, historical decisions, and saved preferences. Instead of relying solely on the immediate context window, the agent proactively queries your personal data archive, ensuring that continuity is maintained across sessions. This transforms the agent from a stateless assistant into a personalized partner that understands your unique history and project context.

Installation

To integrate this memory capability, run the following command in your terminal within the OpenClaw environment: clawhub install openclaw/skills/skills/huamu668/huamu668-memos-cloud Ensure your MemOS environment is properly authenticated so the agent has read access to your cloud-stored records.

Use Cases

This skill is ideal for users who manage complex, long-running projects where context is easily lost. It is particularly useful for:

  • Retrieving specific project statuses or milestones discussed in previous weeks.
  • Clarifying personal preferences regarding work style, code formatting, or document structure.
  • Recalling past decisions or brainstorming sessions to avoid repeating dead-end strategies.
  • Maintaining continuity in long-form writing or research tasks.

Example Prompts

  1. "What was the conclusion regarding the API refactor we discussed last Tuesday?"
  2. "I prefer the minimalist design style I mentioned earlier; please apply that to this new document."
  3. "Summarize the feedback I received on my project proposal during our last few sessions."

Tips & Limitations

To maximize the effectiveness of this skill, try to use specific keywords in your queries. Since the underlying mechanism performs a keyword-based search via memos-api.js, providing clear context helps retrieve the most relevant entries.

Note that this skill is designed for silent failure; if no memory is found or if the API encounters an error, the agent will proceed normally without interrupting your workflow. It is important to remember that this skill is read-only; it focuses on recall rather than modifying your actual MemOS database. Always ensure your sensitive personal data is managed according to your privacy standards, as the agent will have access to the information indexed within your MemOS cloud account.

Metadata

Author@huamu668
Stars2387
Views0
Updated2026-03-09
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-huamu668-huamu668-memos-cloud": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#memory#personalization#productivity#knowledge-management
Safety Score: 4/5

Flags: network-access, file-read, code-execution