memory-networkSocial memory network — discover communities and build trust through shared emotional memory, not follower counts or algorithms. Powered by Echo's memory gra...
Install via ClawdBot CLI:
clawdbot install kkw-21/memory-networkGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://iditor.comAudited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
Memory Network can connect individuals with shared emotional experiences, such as grief or anxiety, to form peer support groups. By matching users based on resonant memories rather than demographics, it fosters deeper, trust-based relationships for therapeutic benefit.
In online learning platforms, this skill can cluster students based on shared learning experiences or conceptual struggles from AI tutor interactions. This enables the creation of study groups or mentorship pairs grounded in genuine understanding of each other's educational journeys.
Artists, writers, and designers can use Memory Network to discover collaborators by matching on emotional responses to creative works or shared project memories. This builds professional networks based on authentic creative alignment rather than superficial portfolios.
Brands can integrate Memory Network to form customer communities around shared positive experiences with products or services. This enhances loyalty by connecting users through genuine emotional memories, fostering brand advocacy and personalized engagement.
Academics and scientists can leverage this skill to find collaborators based on shared intellectual discoveries or experimental challenges documented in AI conversations. It facilitates interdisciplinary teams by surfacing deep conceptual resonances across memory graphs.
Offer tiered subscriptions for individuals and organizations to access advanced features like cross-platform memory aggregation and real-time network analytics. Revenue scales with user base and data storage needs, targeting enterprises in social tech or mental health.
License the memory graph infrastructure to third-party developers for integration into existing apps like social media or productivity tools. Revenue comes from API call fees and custom development services, leveraging Echo's underlying technology.
Analyze aggregated, anonymized memory data to provide insights on community trends or emotional patterns for market research or therapeutic applications. Revenue is generated through consulting reports and bespoke analysis for clients in healthcare or marketing.
💬 Integration Tip
Start by integrating with a single AI platform like ChatGPT to validate memory aggregation before scaling to cross-platform use, ensuring privacy controls are clearly communicated to users.
Scored Apr 19, 2026
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三级记忆管理系统 (Three-Tier Memory Management)。用于管理 AI 代理的短期、中期、长期记忆。包括:(1) 滑动窗口式短期记忆,(2) 自动摘要生成中期记忆,(3) 向量检索长期记忆 (RAG)。当需要管理对话历史、优化上下文、构建个人知识库、或实现记忆持久化时使用此 Skill。
Store secrets, long-term memory, daily logs, and anything custom in your Convex backend instead of local files