mirror of
https://github.com/TencentCloud/TencentDB-Agent-Memory
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feat: release v0.1.4
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---
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## [0.1.4] - 2026-04-10
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### 🚀 Features
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- *(auto-recall)* Add recall hint text before memories
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## [0.1.3] - 2026-04-09
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### 🚀 功能
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- *(memory-tdai)* 用 reporter 抽象替换 emitMetric
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- *(L3)* L3 使用读写工具,防止模型输出 CoT
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- *(memory)* 添加 embedding 截断、召回超时,以及从 L0 捕获中剔除代码块
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- *(config)* Embedding 超时支持配置
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- *(report)* 在 schema 中暴露 report 配置项,默认值改为 false
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### 🐛 修复
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- *(capture)* 跳过心跳/定时任务/自动化/调度类消息
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- *(recall)* 召回完成时清除超时定时器,避免误报超时警告
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### 💼 Other
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- 重命名包名为 memory-tencentdb
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- *(deps)* 将 node-llama-cpp 改为可选依赖
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### ⚡ 性能
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- *(auto-capture)* 将 L0 向量嵌入移至后台以降低延迟
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### 📚 文档
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- 添加 allowPromptInjection 配置警告说明
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## [0.1.2] — 2026-03-26
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## [0.1.2] — 2026-03-26
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### 更新内容
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### 更新内容
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+1
-1
@@ -1,6 +1,6 @@
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{
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{
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"name": "@tencentdb-agent-memory/memory-tencentdb",
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"name": "@tencentdb-agent-memory/memory-tencentdb",
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"version": "0.1.1",
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"version": "0.1.4",
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"description": "Four-layer local memory system plugin for OpenClaw — auto-captures, structures, and profiles conversational knowledge using local LLM + SQLite vector search (L0→L1→L2→L3 pipeline)",
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"description": "Four-layer local memory system plugin for OpenClaw — auto-captures, structures, and profiles conversational knowledge using local LLM + SQLite vector search (L0→L1→L2→L3 pipeline)",
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"type": "module",
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"type": "module",
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"main": "index.ts",
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"main": "index.ts",
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@@ -199,7 +199,9 @@ async function performAutoRecallInner(params: {
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systemParts.push(`<scene-navigation>\n${sceneNavigation}\n\n${pathHint}\n</scene-navigation>`);
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systemParts.push(`<scene-navigation>\n${sceneNavigation}\n\n${pathHint}\n</scene-navigation>`);
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}
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}
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if (memoryLines.length > 0) {
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if (memoryLines.length > 0) {
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systemParts.push(`<relevant-memories>\n${memoryLines.join("\n")}\n</relevant-memories>`);
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systemParts.push(
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`<relevant-memories>\n以下是当前对话召回的相关记忆,不代表当前任务进程,仅作为参考:\n\n${memoryLines.join("\n")}\n</relevant-memories>`
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);
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}
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}
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// Append memory tools usage guide so the agent knows how to actively
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// Append memory tools usage guide so the agent knows how to actively
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