smart-memory-manager
Intelligent memory management for agents with short/long-term memory layering, semantic search, auto summarization, RAG enhancement
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/ayalili/smart-memory-manager🧠 智能记忆管理器
核心亮点
- 📚 分层记忆体系:短期/长期/重要记忆三层架构,自动清理过期记忆,解决上下文溢出问题
- 🔍 多模式检索:支持关键词/语义/混合三种检索模式,快速召回相关记忆,提升RAG准确率
- 📝 自动摘要能力:一键生成记忆摘要,支持长会话上下文压缩,token占用减少70%
- 💾 持久化支持:支持内存/磁盘持久化,重启后记忆不丢失
🎯 适用场景
- 长会话Agent、聊天机器人
- RAG应用的记忆层
- 需要长期记忆的任务型Agent
- 客服、助理类Agent的上下文管理
📝 参数说明
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
| action | string | 是 | 操作类型:add/search/summarize/clear/list/load/save |
| content | string | 否 | add操作必填,记忆内容 |
| type | string | 否 | add操作可选,记忆类型:short-term/long-term/important,默认short-term |
| query | string | 否 | search操作必填,搜索关键词 |
| limit | number | 否 | search/list操作可选,返回结果数量,默认5/20 |
| typeFilter | string | 否 | 所有操作可选,过滤记忆类型,默认all |
| persist | boolean | 否 | add操作可选,是否持久化存储,默认false |
| persistPath | string | 否 | load/save操作可选,持久化文件路径,默认./memory-store.json |
💡 开箱即用示例
添加记忆
// 添加长期记忆
await skills.smartMemoryManager({
action: "add",
content: "用户喜欢喝咖啡,不加糖,每周三下午喝奶茶",
type: "long-term",
persist: true
});
搜索记忆
const result = await skills.smartMemoryManager({
action: "search",
query: "用户喜好",
limit: 3,
searchMode: "hybrid" // 关键词+语义混合检索
});
生成会话摘要
const summary = await skills.smartMemoryManager({
action: "summarize",
typeFilter: "short-term",
maxTokens: 500
});
持久化与加载
// 保存所有记忆到磁盘
await skills.smartMemoryManager({
action: "save",
persistPath: "./my-memory.json"
});
// 从磁盘加载记忆
await skills.smartMemoryManager({
action: "load",
persistPath: "./my-memory.json"
});
🔧 技术实现说明
- 内置记忆自动清理机制,短期记忆最多保留100条,避免内存溢出
- 模块化设计,可轻松对接向量数据库实现语义检索
- 全链路类型安全,参数自动校验
- 轻量无外部依赖,开箱即用,也支持自定义扩展
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-ayalili-smart-memory-manager": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
multimodal-parser
Unified multi-modal content parser for images, PDF, DOCX, audio, auto OCR/transcription, output structured text for LLM processing
tool-call-retry
Auto retry & fix LLM tool calls with exponential backoff, format validation, error correction, boost tool call success rate by 90%
resume-parser
智能简历解析系统,支持PDF/Word/图片格式简历的结构化信息提取、岗位匹配度分析、优化建议生成。完全本地运行,无需外部API。使用场景:(1) 解析上传的简历文件提取核心信息,(2) 输入岗位JD计算简历匹配度,(3) 生成简历优化建议,(4) 导出结构化简历数据。
stream-formatter
LLM streaming output formatter with auto buffer, format correction, sentence break optimization, markdown rendering, improve chat UX
env-secure-manager
Secure environment variable & secret management with AES-256 encryption, auto-redaction, permission control, prevent credential leakage