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Memory (TencentDB)

Name: Memory (TencentDB)
Author: paudyyin

by paudyyin · GitHub ↗ · v0.3.6 · MIT-0

cross-platform ⚠ suspicious

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Install in OpenClaw

/install memory-tencentdb

Description

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。

README (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-vec
tcvdb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

Usage Guidance

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.

Capability Tags

requires-sensitive-credentials

Capability Assessment

ℹ 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.

How to Use

Make sure OpenClaw is installed (local or Docker)
Run the install command in chat: /install memory-tencentdb
After installation, invoke the skill by name or use /memory-tencentdb
Provide required inputs per the skill's parameter spec and get structured output

Version History

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.

Metadata

Slug memory-tencentdb

Version 0.3.6

License MIT-0

All-time Installs 0

Active Installs 0

Total Versions 2

Frequently Asked Questions

What is Memory (TencentDB)?

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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 72 downloads so far.

How do I install Memory (TencentDB)?

Run "/install memory-tencentdb" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Memory (TencentDB) free?

Yes, Memory (TencentDB) is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Memory (TencentDB) support?

Memory (TencentDB) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Memory (TencentDB)?

It is built and maintained by paudyyin (@paudyyin); the current version is v0.3.6.

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