openclaw-sulcusSulcus — reactive, thermodynamic memory for AI agents. Use when: (1) storing memories with heat-based decay and spaced repetition, (2) searching/recalling co...
Install via ClawdBot CLI:
clawdbot install mcdoolz/openclaw-sulcusGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
webhook → https://...Calls external URL not in known-safe list
https://clawhub.ai/mcdoolz/openclaw-sulcus-skillAI Analysis
The skill's external calls to clawhub.ai and GitHub appear to be for documentation and legitimate plugin distribution, consistent with its stated purpose as a memory management system. While the webhook endpoint mentioned in the signals is undocumented, the primary function does not inherently involve exfiltrating user memory content to unauthorized servers.
Audited Apr 17, 2026 · audit v1.0
Generated May 22, 2026
An AI assistant uses Sulcus to store user preferences like dark mode or meal choices with heat-based decay. Frequently recalled preferences stay hot, rarely used ones fade, ensuring the assistant remembers what matters without manual updates.
A customer support chatbot uses Sulcus to maintain context across sessions. Episodic memories of past issues decay in hours, while semantic memories like product versions persist for months, enabling coherent multi-session support without loss of important details.
A team uses Sulcus to store project facts, decisions, and tasks. Semantic memories (fact, procedural) have slow decay to preserve vital info; episodic memories (meeting notes) decay faster. Pinned memories for core project identity never fade, and triggers notify the team when critical facts start cooling.
An educational platform uses Sulcus to store student learning moments (fact, procedural memories). Each recall boosts heat and stability, mimicking spaced repetition. Trigger actions pin high-stability memories to ensure long-term retention, while decaying low-stability ones for review.
A smart home system uses Sulcus to remember user routines and device states. Moment memories for transient commands decay in 12 hours, while preference memories for temperature settings persist for 90 days. Pinned safety-critical settings never decay, ensuring consistent behavior.
Offer Sulcus as a managed cloud memory service for AI agents. Charge based on memory storage (bytes), recall operations, and trigger executions, similar to pay-per-use database services.
License the OpenClaw Sulcus plugin to enterprises embedding AI into their products. Provide integration support, custom decay configurations, and SLA-backed reliability for mission-critical memory.
Create a marketplace where developers share reactive trigger templates (e.g., 'Notify on low heat') for various use cases. Charge per download or offer premium curated triggers.
💬 Integration Tip
For MCP integration, run the Sulcus sidecar alongside your agent and use the provided MCP tools directly. For REST or SDK usage, configure the API endpoint and use the heat/decay classes to match your data persistence needs.
Scored Jun 20, 2026
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