openclaw-memory-masterAI Memory System with LLM Wiki
Install via ClawdBot CLI:
clawdbot install cp3d1455926-svg/openclaw-memory-masterGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Hardcoded API key or token pattern found in skill definition
sk-abcdefghi...Calls external URL not in known-safe list
https://github.com/your-username/memory-master.gitAI Analysis
The skill contains a hardcoded API key pattern, which is a direct credential exposure risk. While the external URL appears to be a public repository, the presence of credentials necessitates a high-risk verdict due to the potential for unauthorized access or credential harvesting.
Audited Apr 17, 2026 · audit v1.0
Generated May 8, 2026
An AI assistant that remembers user preferences, past conversations, and emotional states to provide highly personalized interactions over time. Ideal for virtual companions or productivity tools.
A system that curates and maintains a company's internal wiki by proactively updating knowledge from documents and communications, with layered memory architecture for team collaboration.
A support agent that recalls customer history, previous tickets, and sentiment to deliver context-aware responses and escalate appropriately, reducing resolution time.
An adaptive learning assistant that tracks student progress, identifies knowledge gaps, and adjusts teaching style based on emotional cues and past performance.
An AI that remembers patient health data, medication schedules, and emotional well-being to provide timely reminders and empathetic support, integrating with EHR systems.
Offer tiered monthly subscriptions for access to the memory system, with pricing based on storage, number of agents, and advanced features like hybrid search and emotion dimensions.
License the memory stack as a component to other AI companies building agents, chatbots, or virtual assistants, charging a per-agent or per-user fee.
Offer a basic memory layer for free (limited storage and agents) and charge for premium features like OS-level 4-layer architecture and dynamic Top-K search.
💬 Integration Tip
Start with the LLM Wiki curation feature using default settings, then gradually enable the 4-layer OS architecture and emotion dimensions as your use case requires.
Scored Jul 6, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.