yaoyao-memory四层渐进式长时记忆系统,让 AI 跨会话保持上下文、沉淀知识、持续进化。 【核心设计:静默自动】AI 自动识别、记录、整理记忆,无需用户确认。 【凭据要求】需要 LLM/Embedding API Key(llm_config.json 或 secrets.env) 【网络调用】调用外部 LLM API 进行向量...
Install via ClawdBot CLI:
clawdbot install taobaoaz/yaoyao-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://ima.qq.com/agent-interfaceUses known external API (expected, informational)
api.openai.comAudited Apr 16, 2026 · audit v1.0
Generated Apr 19, 2026
Automatically records customer preferences, common issues, and resolutions across sessions to provide personalized support without manual input. This reduces repetitive queries and improves response accuracy by leveraging historical interactions.
Tracks a user's learning progress, mistakes, and preferences to adapt educational content and recommendations over time. It helps in creating tailored study plans and reinforcing knowledge retention without interrupting the learning flow.
Silently logs project decisions, task completions, and errors to maintain context across team meetings and updates. This ensures continuity in long-term projects and aids in automated reporting and risk management.
Records patient treatment decisions, progress milestones, and error logs to assist medical professionals in maintaining accurate patient histories. It supports compliance and improves care quality by avoiding redundant data entry.
Automatically captures user investment preferences, past decisions, and market learnings to provide tailored financial advice. It enhances trust and accuracy by building a persistent knowledge base of client interactions.
Offer the memory system as a cloud-based service with tiered pricing based on usage, such as number of memory entries or integration features. Revenue is generated through monthly or annual subscriptions from businesses using AI agents.
Sell custom licenses to large organizations for on-premise deployment, including premium support, customization, and integration with existing systems. This model targets industries with high data privacy requirements.
Provide a free version with basic memory functions and limited storage, while charging for advanced features like IMA knowledge base integration, priority support, and enhanced analytics. This attracts small teams and scales up.
💬 Integration Tip
Ensure compatibility with existing AI frameworks and data privacy policies by reviewing the skill's scripts and governance files before deployment.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
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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.