smart-agent-memory跨平台 Agent 长期记忆系统。分层上下文供给 + 温度模型 + Skill经验记忆 + 结构化存储 + 自动归档。三层存储:Markdown(人可读,QMD 可搜索)+ JSON(结构化)+ SQLite/FTS5(高性能全文搜索)。纯 Node.js 原生模块,零外部依赖。
Install via ClawdBot CLI:
clawdbot install beyound87/smart-agent-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
https://clawhub.com/skills/agent-memory-systemAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
AI customer support agents use the skill to recall past interactions with specific customers, loading context by tags like customer ID or issue type. This reduces token usage by avoiding full memory loads and improves response accuracy with layered context from previous resolutions and skill-specific experiences.
Project managers employ the skill to store and retrieve decisions, lessons, and task progress across multiple workspaces. By using session-start for overviews and context commands for specific tags or timeframes, it ensures efficient memory access during planning and review meetings without overwhelming the agent.
Individuals integrate the skill into personal AI assistants to track habits, goals, and reflections. Daily logs and entity tracking for people or tasks help provide tailored advice, while cron jobs automate nightly reflections and weekly GC to maintain memory health and relevance.
Developers use the skill to capture API usage experiences and technical insights via remember commands with skill tags. Before executing tools, skill-mem loads past pitfalls, ensuring accurate documentation generation and reducing errors through structured storage and search capabilities.
Healthcare professionals apply the skill to manage patient histories and treatment plans. By indexing and context loading with entity types like person, it enables quick access to relevant medical facts while maintaining privacy through structured storage and automatic archival of old data.
Offer the memory system as a cloud-based service with tiered plans based on storage capacity and advanced features like enhanced search or analytics. Revenue comes from monthly subscriptions, targeting businesses needing scalable AI agent memory solutions.
Sell on-premise licenses to large organizations requiring high security and customization. Include premium support, training, and integration services, generating revenue through one-time license fees and annual maintenance contracts.
Provide a free basic version with limited storage and features, monetizing through paid add-ons such as advanced cron job automation, priority support, or extended skill libraries. This attracts individual users and small teams while upselling to larger needs.
💬 Integration Tip
Start by running the setup command to inject bootstrap memory into workspaces, then implement cron jobs for automated reflection and GC to maintain system efficiency.
Scored Apr 19, 2026
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