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在 OpenClaw 中安装
/install memory-tencentdb
功能描述
四层记忆系统插件 — 自动捕获对话、提取结构化记忆、归纳场景、生成用户画像。支持 L0→L1→L2→L3 渐进式管线,本地 SQLite + 腾讯云向量数据库双后端。
使用说明 (SKILL.md)
memory-tencentdb 鈥?鍥涘眰璁板繂绯荤粺
涓?OpenClaw AI Agent 鎻愪緵 L0鈫扡1鈫扡2鈫扡3 闀挎湡璁板繂鑳藉姏銆?
鏋舵瀯
瀵硅瘽寮€濮? 鈫?Auto-Recall: 鍚戦噺/娣峰悎鎼滅储鐩稿叧璁板繂 + 鍔犺浇 Persona 鈫?娉ㄥ叆绯荤粺涓婁笅鏂?
瀵硅瘽缁撴潫
鈫?L0: 褰曞埗瀵硅瘽娑堟伅 鈫?SQLite + JSONL 鍙屽啓
鈫?Pipeline Scheduler: 杈惧埌 N 杞悗瑙﹀彂
鈹溾攢鈹€ L1: LLM 鎻愬彇缁撴瀯鍖栬蹇?+ 鍚戦噺鍘婚噸 鈫?JSONL + SQLite
鈹溾攢鈹€ L2: LLM 褰掔撼鍦烘櫙鍧?鈫?Markdown 鏂囦欢
鈹斺攢鈹€ L3: LLM 鐢熸垚/鏇存柊鐢ㄦ埛鐢诲儚 鈫?persona.md
鍥涘眰璁板繂
| 灞傜骇 | 鍚嶇О | 璇存槑 |
|---|---|---|
| L0 | 瀵硅瘽褰曞埗 | 鍘熷瀵硅瘽娑堟伅鎹曡幏 |
| L1 | 璁板繂鎻愬彇 | 缁撴瀯鍖栬蹇嗭紙persona/episodic/instruction锛? |
| L2 | 鍦烘櫙褰掔撼 | 鍦烘櫙鍧楋紙Scene Block锛? |
| L3 | 鐢ㄦ埛鐢诲儚 | 鐢ㄦ埛浜烘牸鐢诲儚锛圥ersona锛? |
璁板繂绫诲瀷
- persona锛氱敤鎴风殑绋冲畾灞炴€с€佸亸濂姐€佹妧鑳姐€佷环鍊艰
- episodic锛氬瑙傚彂鐢熺殑鍔ㄤ綔銆佸喅瀹氥€佽鍒掓垨缁撴灉
- instruction锛氱敤鎴峰 AI 鐨勯暱鏈熻涓鸿鍒?
瀹夎
clawhub install memory-tencentdb
閰嶇疆
鍦?openclaw.json 涓坊鍔狅細
{
"plugins": {
"allow": ["mx", "memory-tencentdb"],
"load": {
"paths": ["\x3C鎻掍欢璺緞>"]
},
"entries": {
"memory-tencentdb": {
"enabled": true,
"config": {
"llm": {
"enabled": true,
"baseUrl": "https://浣犵殑LLM绔偣/v1",
"model": "浣犵殑妯″瀷ID"
},
"pipeline": {
"everyNConversations": 3
}
}
}
}
}
}
瀛樺偍鍚庣
sqlite锛堥粯璁わ級锛氭湰鍦?SQLite + sqlite-vectcvdb锛氳吘璁簯鍚戦噺鏁版嵁搴?
CLI 鍛戒护
openclaw memory-tdai seed --input conversations.json
鏁呴殰鎺掓煡
濡傛灉 L1 鎻愬彇涓虹┖锛?1. 妫€鏌?plugins.allow 鍖呭惈 "memory-tencentdb"
2. 妫€鏌?plugins.load.paths 鍖呭惈鎻掍欢璺緞
3. 妫€鏌?llm.enabled 涓?true
4. 妫€鏌?LLM 绔偣鍙闂?\r
安全使用建议
Review this before installing in any environment with private or regulated conversations. Confirm who can trigger memory search, whether raw conversation search should be disabled or restricted, set a finite retention period, and use local-only model/storage settings if conversation content must not be sent to third-party services. Also inspect the published package contents for the postinstall patch script before allowing install-time scripts to run.
能力标签
能力评估
Purpose & Capability
The stated purpose matches the advertised capabilities: automatic conversation capture, memory extraction, persona generation, search, and recall into future prompts. These are expected for a long-term memory plugin, but they handle sensitive user data.
Instruction Scope
The README says capture, extraction, persona updates, and recall are enabled by default, L0/L1 retention defaults to no cleanup, and agent-callable tools can search raw conversation history. The docs disclose these functions but do not clearly describe consent, redaction, authorization, or safe scoping boundaries.
Install Mechanism
package.json declares a postinstall command that runs a shell patch script and suppresses errors. The script body is not present in the provided artifact set, and the README does not explain this install-time mutation behavior.
Credentials
The plugin may send conversation-derived content to a configured remote LLM endpoint, embedding service, or TencentDB vector backend. This is coherent with the feature set but needs clearer data-sharing warnings before production use.
Persistence & Privilege
The plugin persists raw conversations, extracted memories, scene summaries, persona files, SQLite/vector data, metadata, and backups. Persistence is purpose-aligned, but default indefinite retention and model-visible recall increase privacy impact.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install memory-tencentdb - 安装完成后,直接呼叫该 Skill 的名称或使用
/memory-tencentdb触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.3.6
Four-layer memory system plugin for OpenClaw - L0/L1/L2/L3 pipeline, SQLite + TencentDB backends
v0.3.5
Four-layer memory system: L0 conversation capture → L1 memory extraction → L2 scene induction → L3 persona generation. Supports local SQLite and Tencent Cloud VectorDB backends.
元数据
常见问题
Memory (TencentDB) 是什么?
四层记忆系统插件 — 自动捕获对话、提取结构化记忆、归纳场景、生成用户画像。支持 L0→L1→L2→L3 渐进式管线,本地 SQLite + 腾讯云向量数据库双后端。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 72 次。
如何安装 Memory (TencentDB)?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install memory-tencentdb」即可一键安装,无需额外配置。
Memory (TencentDB) 是免费的吗?
是的,Memory (TencentDB) 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Memory (TencentDB) 支持哪些平台?
Memory (TencentDB) 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Memory (TencentDB)?
由 paudyyin(@paudyyin)开发并维护,当前版本 v0.3.6。
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