smart-agent-memory-cn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 tntest/smart-agent-memory-cnGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Audited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
An AI agent handling customer inquiries uses this skill to recall past interactions and product details efficiently. It loads memory by tag (e.g., 'billing') or recent days to provide personalized responses without token overload.
An assistant managing schedules and tasks leverages skill experience memory to remember user preferences (e.g., meeting formats). It uses session-start for daily overviews and session-end to summarize discussions, ensuring continuity.
A coding assistant uses this skill to store API usage lessons and debugging insights. Before calling a tool, it checks skill-mem for past errors, and after successes, it remembers tips with --skill tags to avoid future pitfalls.
An agent providing health recommendations uses layered context to load patient history by entity-type (e.g., 'person') and time ranges. It ensures privacy by avoiding full data loads and archives old records with gc for compliance.
Offer this memory system as a cloud-based service for AI developers, charging monthly per agent. Revenue comes from tiered plans based on storage size and advanced features like qmd semantic search.
Sell on-premise licenses to large companies for integrating into custom AI workflows. Revenue is generated through one-time fees and annual support contracts, targeting industries like finance with high data control needs.
Provide a free version with basic memory functions and CLI tools, monetizing via premium add-ons like cron automation and advanced analytics. Revenue streams include upsells for features like temperature reports and skill extraction.
💬 Integration Tip
Integrate by setting up cron jobs for automatic reflection and GC, and use the CLI in agent scripts to layer memory loads efficiently.
Scored Jun 19, 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
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.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...