structured-vector-memoryStructured Vector Memory (SVM) / 三层高效记忆存储法。整合 LanceDB Pro 向量引擎 + 三层结构化管理,涵盖:每日记忆整理(Micro Sync + Daily Wrapup)、记忆蒸馏压缩(Weekly Compound)、去重检测、scope 隔离、archive 机...
Install via ClawdBot CLI:
clawdbot install kylin19860916/structured-vector-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
An AI agent handling customer inquiries across multiple channels (e.g., chat, email) uses SVM to maintain context across conversations, store resolved issues, and distill weekly insights into knowledge bases. This reduces repetitive queries and improves response accuracy by leveraging structured memory layers for quick recall and long-term learning.
A content creation AI for platforms like YouTube or blogs uses SVM to track user preferences, past content performance, and editorial guidelines. It automatically captures ideas, syncs daily summaries, and compresses weekly trends to generate tailored content plans and avoid redundancy in topics.
An AI agent managing an online store uses SVM to store supplier details, product specifications, and customer feedback. It isolates financial and inventory data by scope, performs daily wrap-ups on sales trends, and distills weekly reports to optimize pricing and inventory decisions without data overload.
A DevOps AI monitors system logs, incidents, and configuration changes, using SVM to capture real-time events, sync micro-decisions, and archive resolved issues. Weekly compounds clean up low-value data, ensuring efficient troubleshooting and compliance audits with scope isolation for different tech stacks.
Offer SVM as a cloud-based service with tiered plans based on memory size, query volume, and support levels. Revenue comes from monthly subscriptions, with premium features like advanced analytics and priority cron scheduling for enterprises needing high-performance memory management.
Provide tailored SVM setup and optimization for businesses integrating AI agents into existing workflows. Revenue is generated through project-based fees for installation, cron configuration, and ongoing maintenance, targeting industries like finance or healthcare with strict data handling needs.
Distribute SVM as a free plugin for OpenClaw users, with paid upgrades for advanced features like LanceDB Pro integration, automated scope auditing, and enhanced distillation tools. Revenue streams include one-time purchases for premium scripts and annual licenses for enterprise support.
💬 Integration Tip
Ensure Jina API keys are properly configured for embedding and rerank functions, and test cron scripts in a staging environment before deployment to avoid memory corruption.
Scored Jun 19, 2026
Structured reasoning through sequential thinking — break complex problems into steps, solve each independently, verify consistency, synthesize conclusions wi...
LLM-driven epistemic reasoning engine. Evaluates claims against evidence, outputs calibrated confidence and structured belief state (VERIFIED/CONTESTED/UNCER...
Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context duri...
Turn scattered local sources into a source-constrained evidence notebook for incident, release, and maintainer decisions.
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