sq-memoryEnables OpenClaw agents to store, recall, update, list, and forget persistent hierarchical memories across sessions via the SQ protocol.
Install via ClawdBot CLI:
clawdbot install wbic16/sq-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Report → https://github.com/wbic16/openclaw-sq-skill/issuesPotentially destructive shell commands in tool definitions
eval (Calls external URL not in known-safe list
https://github.com/wbic16/SQAI Analysis
The skill's primary risk is sending data to a user-configured endpoint (localhost by default), which could be redirected to an external server. While the source code is open-source and MIT licensed, the hosted paid service introduces a potential external data sink that users must explicitly opt into. No credential harvesting, hidden instructions, or obfuscation were found in the provided definition.
Generated Mar 21, 2026
An AI support agent uses SQ Memory to remember customer preferences and past issues across sessions. This enables personalized responses and avoids repetitive questions, improving customer satisfaction and efficiency.
A medical AI agent stores patient preferences and conversation summaries for continuity of care. It helps track symptoms and treatment discussions over time, ensuring accurate follow-ups without relying on limited context windows.
An AI shopping assistant remembers user preferences like product interests and budget across browsing sessions. It provides tailored recommendations and recalls past purchases, enhancing the shopping experience and increasing sales.
Multiple AI agents coordinate tasks by sharing memory at agreed coordinates. For example, one agent assigns tasks and another retrieves them, enabling seamless workflow automation in collaborative environments.
A tutoring AI stores student progress and learning preferences across sessions. It adapts lessons based on past interactions, providing personalized education and tracking long-term learning goals.
Offer a free tier with limited API calls and storage, then charge for higher limits via SQ Cloud subscriptions. This attracts users with low costs and monetizes heavy usage, leveraging the hosted convenience service.
Sell custom enterprise packages with dedicated support, higher limits, and on-premise deployment options. Targets large organizations needing scalable, secure memory storage for multiple agents.
Provide paid consulting to help businesses integrate SQ Memory into their AI agents, including custom configuration and training. This leverages the open-source nature to offer value-added services.
💬 Integration Tip
Start by configuring a local endpoint for testing, then migrate to the hosted service for production to avoid connection issues and manage rate limits effectively.
Scored May 17, 2026
Audited Apr 18, 2026 · audit v1.0
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