v0.7.2: 根目录清理 + Agent 心跳重构 + 内嵌 ONNX 模型

- 根目录清理: branding/docs/knowledge -> assets/, package/tools/deploy -> deploy/ - meta.go: Version 0.7.2, SDKCompatibleVersion 语义改为最高兼容 - Makefile: 版本回退 0.7.2 - registry.go: 系统提示词改用 meta.Version 格式化 - Agent 心跳: reorgGraph 拆分为三个独立循环(archive/merge/review)，各自可配间隔 - GraphDB: 新增 sentences 表 + 关系句子溯源 + ClearSentenceID + CleanupOrphanedSentences - Knowledge: 支持词嵌入向量化器 - NLP 四阶段流水线: Parse -> Extract -> Verify -> Fuse + SentenceRef - 移除远程 HTTP 解析器(remote_parser.go) - 新增内嵌 ONNX 模型(vocab + dep_parser.onnx): +build onnxruntime: 全量 ONNX Runtime 推理 !build onnxruntime: 内嵌词表规则式降级解析器 - config: core.agent.onnx_model_path 替代 dep_parser_url
2026-09-21 09:28:14 +00:00 · 2026-07-28 09:56:26 +08:00
parent 1cb3e87dde
commit 2c5f9ff262
47 changed files with 26141 additions and 242 deletions
--- a/2
+++ b/2
@ -8,7 +8,7 @@ GOCACHE=/tmp/gocache
 export GOPATH=/tmp/gopath
 BUILD_DIR=build
 PROJECT_ROOT := $(CURDIR)
-VERSION ?= $(shell git describe --tags --dirty 2>/dev/null || echo "0.7.1")
+VERSION ?= $(shell git describe --tags --dirty 2>/dev/null || echo "0.7.2")
 COMMIT ?= $(shell git rev-parse --short HEAD 2>/dev/null || echo "unknown")
 BUILD_TIME ?= $(shell date -u '+%Y-%m-%dT%H:%M:%SZ')
 LDFLAGS = -X gitcode.com/JianFeeeee/HomeAgent/internal/meta.Version=$(VERSION) -X gitcode.com/JianFeeeee/HomeAgent/internal/meta.Commit=$(COMMIT) -X gitcode.com/JianFeeeee/HomeAgent/internal/meta.BuildTime=$(BUILD_TIME)
--- a/README.md
+++ b/README.md
@ -124,12 +124,12 @@ flowchart TB
    LLM -->|memory_recall| MEM
 ```

-详细说明见 [`docs/zh/ARCHITECTURE.md`](docs/zh/ARCHITECTURE.md)。
+详细说明见 [`assets/docs/zh/ARCHITECTURE.md`](assets/docs/zh/ARCHITECTURE.md)。

 ## 看板娘

 <div align="center">
-  <img src="branding/mascot-xiaozhai.webp" alt="HomeAgent 看板娘 小宅" width="200">
+  <img src="assets/branding/mascot-xiaozhai.webp" alt="HomeAgent 看板娘 小宅" width="200">
  <p><strong>小宅</strong> — HomeAgent 看板娘</p>
 </div>

@ -171,15 +171,15 @@ internal/

 ## 项目状态

-**v0.7.1** — 核心可用，插件系统和 SDK 已就绪。内置 11 个插件，外部插件开发见 [homeagent-sdk](https://gitcode.com/JianFeeeee/homeagent-sdk) 仓库，使用 `plugindev` 工具链。输出通道系统、受限外部插件 API、EventAgentLLMChain 事件已上线。
+**v0.7.2** — 核心可用，插件系统和 SDK 已就绪。内置 11 个插件，外部插件开发见 [homeagent-sdk](https://gitcode.com/JianFeeeee/homeagent-sdk) 仓库，使用 `plugindev` 工具链。输出通道系统、受限外部插件 API、EventAgentLLMChain 事件已上线。

 ## 文档

- [项目概览](docs/zh/OVERVIEW.md) | [English](docs/en/OVERVIEW.md)
- [技术架构](docs/zh/ARCHITECTURE.md) | [English](docs/en/ARCHITECTURE.md)
- [插件开发指南](docs/zh/PLUGIN_DEV.md) | [English](docs/en/PLUGIN_DEV.md)
- [Lua Adapter](docs/zh/ADAPTER.md) | [English](docs/en/ADAPTER.md)
- [知识库演示](knowledge/homeagent_architecture/content.md)
+- [项目概览](assets/docs/zh/OVERVIEW.md) | [English](assets/docs/en/OVERVIEW.md)
+- [技术架构](assets/docs/zh/ARCHITECTURE.md) | [English](assets/docs/en/ARCHITECTURE.md)
+- [插件开发指南](assets/docs/zh/PLUGIN_DEV.md) | [English](assets/docs/en/PLUGIN_DEV.md)
+- [Lua Adapter](assets/docs/zh/ADAPTER.md) | [English](assets/docs/en/ADAPTER.md)
+- [知识库演示](assets/knowledge/homeagent_architecture/content.md)

 ## 构建

--- a/README_EN.md
+++ b/README_EN.md
@ -124,12 +124,12 @@ flowchart TB
    LLM -->|memory_recall| MEM
 ```

-See [`docs/en/ARCHITECTURE.md`](docs/en/ARCHITECTURE.md) for details.
+See [`assets/docs/en/ARCHITECTURE.md`](assets/docs/en/ARCHITECTURE.md) for details.

 ## Web Mascot

 <div align="center">
-  <img src="branding/mascot-xiaozhai.webp" alt="HomeAgent Web Mascot Xiaozhai" width="200">
+  <img src="assets/branding/mascot-xiaozhai.webp" alt="HomeAgent Web Mascot Xiaozhai" width="200">
  <p><strong>Xiaozhai</strong> — HomeAgent Web Mascot</p>
 </div>

@ -171,15 +171,15 @@ External plugin development: see [homeagent-sdk](https://gitcode.com/JianFeeeee/

 ## Project Status

-**v0.7.1** — Core is functional, plugin system and SDK are ready. 11 built-in plugins. External plugin development via [homeagent-sdk](https://gitcode.com/JianFeeeee/homeagent-sdk) repo using `plugindev` toolchain. Output channel system, restricted external plugin API, and EventAgentLLMChain event are live.
+**v0.7.2** — Core is functional, plugin system and SDK are ready. 11 built-in plugins. External plugin development via [homeagent-sdk](https://gitcode.com/JianFeeeee/homeagent-sdk) repo using `plugindev` toolchain. Output channel system, restricted external plugin API, and EventAgentLLMChain event are live.

 ## Documentation

- [Project Overview](docs/en/OVERVIEW.md) | [中文](docs/zh/OVERVIEW.md)
- [Technical Architecture](docs/en/ARCHITECTURE.md) | [中文](docs/zh/ARCHITECTURE.md)
- [Plugin Development Guide](docs/en/PLUGIN_DEV.md) | [中文](docs/zh/PLUGIN_DEV.md)
- [Lua Adapter](docs/en/ADAPTER.md) | [中文](docs/zh/ADAPTER.md)
- [Knowledge Base Demo](knowledge/homeagent_architecture/content.md)
+- [Project Overview](assets/docs/en/OVERVIEW.md) | [中文](assets/docs/zh/OVERVIEW.md)
+- [Technical Architecture](assets/docs/en/ARCHITECTURE.md) | [中文](assets/docs/zh/ARCHITECTURE.md)
+- [Plugin Development Guide](assets/docs/en/PLUGIN_DEV.md) | [中文](assets/docs/zh/PLUGIN_DEV.md)
+- [Lua Adapter](assets/docs/en/ADAPTER.md) | [中文](assets/docs/zh/ADAPTER.md)
+- [Knowledge Base Demo](assets/knowledge/homeagent_architecture/content.md)

 ## Build

--- a/assets/branding/logo-h-he.svg
+++ b/assets/branding/logo-h-he.svg
--- a/assets/branding/mascot-xiaozhai-guide.md
+++ b/assets/branding/mascot-xiaozhai-guide.md
--- a/assets/branding/mascot-xiaozhai-prompt.md
+++ b/assets/branding/mascot-xiaozhai-prompt.md
--- a/assets/branding/mascot-xiaozhai.webp
+++ b/assets/branding/mascot-xiaozhai.webp
--- a/assets/docs/en/ADAPTER.md
+++ b/assets/docs/en/ADAPTER.md
@ -4,7 +4,7 @@

 Each LLM API source corresponds to a Lua script, responsible for request transformation (Go unified format → API format) and response transformation (API format → Go unified format).

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## Adapter Contract

@ -45,7 +45,7 @@ end
 return adapter
 ```

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## Unified CompletionRequest Format (Go → Adapter)

@ -65,7 +65,7 @@ return adapter
 }
 ```

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## Unified CompletionResponse Format (Adapter → Go)

@ -80,7 +80,7 @@ return adapter
 }
 ```

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## Lua VM Built-in Functions

@ -94,7 +94,7 @@ return adapter

 `http_post(url, body)` — Perform HTTP POST request, returns response body as string

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## Adapting Typical APIs

@ -109,7 +109,7 @@ return adapter
 | **GitHub Models** | `/chat/completions` | `Authorization: Bearer <pat>` | OpenAI compatible |
 | **Ollama** | `/api/chat` | None | Different options format |

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## Steps to Add a New Source

--- a/assets/docs/en/ARCHITECTURE.md
+++ b/assets/docs/en/ARCHITECTURE.md
--- a/assets/docs/en/OVERVIEW.md
+++ b/assets/docs/en/OVERVIEW.md
--- a/assets/docs/en/PLUGIN_DEV.md
+++ b/assets/docs/en/PLUGIN_DEV.md
@ -2,7 +2,7 @@

 # HomeAgent Plugin Development Guide

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## Overview

@ -35,7 +35,7 @@ type Plugin interface {

 ---

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 1. Quick Start: Using the plugindev Toolchain

@ -193,7 +193,7 @@ Or upload via WebUI plugin management page.

 ---

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 2. Go Plugin Development in Detail

@ -450,7 +450,7 @@ outputCh := s.OutputChan()

 ---

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 3. Lua Plugin Development in Detail

@ -522,7 +522,7 @@ When running inside the kernel, `sdk.*` global variables are injected by the Go

 ---

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 4. Built-in Plugins

@ -587,7 +587,7 @@ import (

 ---

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 5. Best Practices

@ -601,7 +601,7 @@ import (

 ---

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 6. Example Plugin Reference

--- a/assets/docs/zh/ADAPTER.md
+++ b/assets/docs/zh/ADAPTER.md
@ -4,7 +4,7 @@

 每个 LLM API 源对应一个 Lua 脚本，负责请求转换（Go 统一格式 → API 格式）和响应转换（API 格式 → Go 统一格式）。

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 适配器契约

@ -45,7 +45,7 @@ end
 return adapter
 ```

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 统一 CompletionRequest 格式（Go → Adapter）

@ -65,7 +65,7 @@ return adapter
 }
 ```

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 统一 CompletionResponse 格式（Adapter → Go）

@ -80,7 +80,7 @@ return adapter
 }
 ```

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## Lua VM 内置函数

@ -94,7 +94,7 @@ return adapter

 `http_post(url, body)` — 发起 HTTP POST 请求，返回响应体字符串

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 适配典型 API

@ -109,7 +109,7 @@ return adapter
 | **GitHub Models** | `/chat/completions` | `Authorization: Bearer <pat>` | OpenAI 兼容 |
 | **Ollama** | `/api/chat` | 无 | 不同的 options 格式 |

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 添加新源步骤

--- a/assets/docs/zh/ARCHITECTURE.md
+++ b/assets/docs/zh/ARCHITECTURE.md
--- a/assets/docs/zh/OVERVIEW.md
+++ b/assets/docs/zh/OVERVIEW.md
--- a/assets/docs/zh/PLUGIN_DEV.md
+++ b/assets/docs/zh/PLUGIN_DEV.md
@ -2,7 +2,7 @@

 # HomeAgent 插件开发指南

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 概述

@ -36,7 +36,7 @@ type Plugin interface {

 ---

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 一、快速开始：使用 plugindev 工具链

@ -193,7 +193,7 @@ curl -X POST http://127.0.0.1:9876/plugins \

 ---

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 二、Go 插件开发详解

@ -448,7 +448,7 @@ outputCh := s.OutputChan()

 ---

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 三、Lua 插件开发详解

@ -520,7 +520,7 @@ lua main.lua

 ---

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 四、内置插件

@ -585,7 +585,7 @@ import (

 ---

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 五、最佳实践

@ -599,7 +599,7 @@ import (

 ---

-<img src="../../branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :
+<img src="../../assets/branding/mascot-xiaozhai.webp" width="20" style="border-radius:50%;vertical-align:middle"> :

 ## 六、示例插件参考

--- a/assets/knowledge/homeagent_architecture/content.md
+++ b/assets/knowledge/homeagent_architecture/content.md
--- a/cmd/homed/main.go
+++ b/cmd/homed/main.go
@ -28,6 +28,7 @@ import (
 	"gitcode.com/JianFeeeee/HomeAgent/internal/memory/pipeline"
 	"gitcode.com/JianFeeeee/HomeAgent/internal/memory/social"
 	"gitcode.com/JianFeeeee/HomeAgent/internal/memory/text"
+	"gitcode.com/JianFeeeee/HomeAgent/internal/nlp"
 	"gitcode.com/JianFeeeee/HomeAgent/internal/plugin"
 	cli "gitcode.com/JianFeeeee/HomeAgent/internal/plugins/cli"
 	healthcheck "gitcode.com/JianFeeeee/HomeAgent/internal/plugins/healthcheck"
@ -398,6 +399,10 @@ func main() {
 		Personality:     personality,
 		PluginReg:       pluginReg,
 		PluginDir:       cfg.Plugin.Dir,
+		DistillInterval:   cfgReg.GetDuration("core.agent.distill_interval", 30*time.Minute),
+		ArchiveInterval:   cfgReg.GetDuration("core.agent.archive_interval", 60*time.Minute),
+		ReviewInterval:    cfgReg.GetDuration("core.agent.review_interval", 120*time.Minute),
+		MergeInterval:     cfgReg.GetDuration("core.agent.merge_interval", 120*time.Minute),
 		ContextSavePath:    filepath.Join(cfg.Daemon.DataDir, "memory", "context.json"),
 		EmbeddingModelPath: cfgReg.GetString("core.agent.embedding_model_path", ""),
 		StageHost:          stageHost,
@ -426,6 +431,22 @@ func main() {
 	// CLI 插件结构化命令 — 直接注入内核依赖，不依赖 HTTP
 	cli.Configure(pluginReg, cfgReg, agent, cfg.Plugin.Dir)

+	// ========================================================================
+	// 依存句法分析器（内嵌 ONNX 模型 / 规则引擎）
+	// ========================================================================
+
+	modelPath := cfgReg.GetString("core.agent.onnx_model_path", "")
+	onnxParser, err := nlp.NewONNXParser(nlp.ONNXConfig{
+		ModelPath: modelPath,
+		DataDir:   filepath.Join(cfg.Daemon.DataDir, "nlp"),
+	})
+	if err != nil {
+		log.Printf("[homed] warn: ONNX parser init: %v, using fallback", err)
+	} else {
+		nlp.SetDefaultParser(onnxParser)
+		log.Printf("[homed] dep parser initialized (model: %s)", modelPath)
+	}
+
 	// Auto-create plugins directory (without hardcoding plugin names)
 	os.MkdirAll(cfg.Plugin.Dir, 0755)

--- a/deploy/packaging/build.sh
+++ b/deploy/packaging/build.sh
--- a/deploy/packaging/installer.nsi
+++ b/deploy/packaging/installer.nsi
--- a/deploy/packaging/linux/deb/control-client
+++ b/deploy/packaging/linux/deb/control-client
--- a/deploy/packaging/linux/deb/control-full
+++ b/deploy/packaging/linux/deb/control-full
--- a/deploy/packaging/linux/deb/control-server
+++ b/deploy/packaging/linux/deb/control-server
--- a/deploy/packaging/linux/deb/postinst
+++ b/deploy/packaging/linux/deb/postinst
--- a/deploy/packaging/linux/deb/prerm
+++ b/deploy/packaging/linux/deb/prerm
--- a/deploy/packaging/linux/homeagent.spec
+++ b/deploy/packaging/linux/homeagent.spec
--- a/deploy/packaging/linux/setup.sh
+++ b/deploy/packaging/linux/setup.sh
--- a/deploy/packaging/package-linux.sh
+++ b/deploy/packaging/package-linux.sh
@ -1,11 +1,11 @@
 #!/usr/bin/env bash
 set -euo pipefail

-PROJECT_ROOT="$(cd "$(dirname "$0")/.." && pwd)"
+PROJECT_ROOT="$(cd "$(dirname "$0")/../.." && pwd)"
 BUILD_DIR="${PROJECT_ROOT}/build"
 DIST_DIR="${PROJECT_ROOT}/dist/linux"
 VERSION="${VERSION:-$(git -C "$PROJECT_ROOT" describe --tags --dirty 2>/dev/null || echo "0.7.1")}"
-PACKAGE_ROOT="${PROJECT_ROOT}/package/linux"
+PACKAGE_ROOT="${PROJECT_ROOT}/deploy/packaging/linux"
 GO="${GO:-$(command -v go 2>/dev/null || echo "/home/jianf/go1.26.5/go/bin/go")}"

 ARCH="${1:-amd64}"   # amd64 or arm64
@ -84,10 +84,10 @@ build_go() {
  prepare_gomod || true
  hide_syso

-  bash "$PROJECT_ROOT/package/build.sh" "linux/$ARCH" "homed" 2>&1 || {
+  bash "$PROJECT_ROOT/deploy/packaging/build.sh" "linux/$ARCH" "homed" 2>&1 || {
    echo "WARNING: homed build failed (CGO/sqlite3 issue). Server/full packages may be incomplete."
  }
-  bash "$PROJECT_ROOT/package/build.sh" "linux/$ARCH" "waiter" 2>&1 || {
+  bash "$PROJECT_ROOT/deploy/packaging/build.sh" "linux/$ARCH" "waiter" 2>&1 || {
    echo "WARNING: waiter build failed."
  }

@ -240,7 +240,7 @@ SCRIPT

 stage_setup() {
  local staging="$1"
-  local setup_src="$PROJECT_ROOT/package/linux/setup.sh"
+  local setup_src="$PROJECT_ROOT/deploy/packaging/linux/setup.sh"
  if [ -f "$setup_src" ]; then
    mkdir -p "$staging/usr/lib/homeagent"
    cp "$setup_src" "$staging/usr/lib/homeagent/setup.sh"
@ -309,7 +309,7 @@ build_tar() {
  done

  # setup script
-  local setup_src="$PROJECT_ROOT/package/linux/setup.sh"
+  local setup_src="$PROJECT_ROOT/deploy/packaging/linux/setup.sh"
  [ -f "$setup_src" ] && cp "$setup_src" "$staging/usr/lib/homeagent/setup.sh"

  # GUI if available
@ -350,7 +350,7 @@ build_rpm() {
  if [ -z "$fpm_bin" ]; then
    echo "  SKIP .rpm: fpm not installed. Install it with: gem install fpm"
    echo "  Alternatively, build RPM on Fedora/RHEL using:"
-    echo "    rpmbuild -ba package/linux/homeagent.spec"
+    echo "    rpmbuild -ba deploy/packaging/linux/homeagent.spec"
    return
  fi

--- a/deploy/scripts/deploy.sh
+++ b/deploy/scripts/deploy.sh
@ -2,7 +2,7 @@
 set -euo pipefail

 # HomeAgent 部署脚本
-# 用法: cd <project-root> && sudo bash tools/deploy/deploy.sh
+# 用法: cd <project-root> && sudo bash deploy/scripts/deploy.sh

 PROJECT_ROOT="$(cd "$(dirname "$0")/../.." && pwd)"
 BIN_DIR="/usr/local/bin"
--- a/go.mod
+++ b/go.mod
@ -10,6 +10,8 @@ require (

 require github.com/yanyiwu/gojieba v1.4.7

+require github.com/yalue/onnxruntime_go v1.13.0
+
 require gitcode.com/JianFeeeee/homeagent-sdk v0.7.1

 replace gitcode.com/JianFeeeee/homeagent-sdk => ../homeagentsdk
--- a/go.work.sum
+++ b/go.work.sum
@ -1,9 +0,0 @@
-gitcode.com/JianFeeeee/homeagent-sdk v0.0.0-20260708004841-e9bdcf9304b0/go.mod h1:mzs91WBioKDpiMLXZ7t/LXTmAh3DRu3RnDDoSztTcLg=
-github.com/chzyer/logex v1.1.10 h1:Swpa1K6QvQznwJRcfTfQJmTE72DqScAa40E+fbHEXEE=
-github.com/chzyer/logex v1.1.10/go.mod h1:+Ywpsq7O8HXn0nuIou7OrIPyXbp3wmkHB+jjWRnGsAI=
-github.com/chzyer/readline v0.0.0-20180603132655-2972be24d48e h1:fY5BOSpyZCqRo5OhCuC+XN+r/bBCmeuuJtjz+bCNIf8=
-github.com/chzyer/readline v0.0.0-20180603132655-2972be24d48e/go.mod h1:nSuG5e5PlCu98SY8svDHJxuZscDgtXS6KTTbou5AhLI=
-github.com/chzyer/test v0.0.0-20180213035817-a1ea475d72b1 h1:q763qf9huN11kDQavWsoZXJNW3xEE4JJyHa5Q25/sd8=
-github.com/chzyer/test v0.0.0-20180213035817-a1ea475d72b1/go.mod h1:Q3SI9o4m/ZMnBNeIyt5eFwwo7qiLfzFZmjNmxjkiQlU=
-golang.org/x/sys v0.0.0-20190204203706-41f3e6584952 h1:FDfvYgoVsA7TTZSbgiqjAbfPbK47CNHdWl3h/PJtii0=
-golang.org/x/sys v0.0.0-20190204203706-41f3e6584952/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
--- a/internal/agent/core/agent.go
+++ b/internal/agent/core/agent.go
@ -7,8 +7,8 @@ import (
 	"sync"
 	"time"

-	agentAPI "gitcode.com/JianFeeeee/HomeAgent/internal/agent/api"
 	agentPkg "gitcode.com/JianFeeeee/HomeAgent/internal/agent"
+	agentAPI "gitcode.com/JianFeeeee/HomeAgent/internal/agent/api"
 	agentIO "gitcode.com/JianFeeeee/HomeAgent/internal/agent/io"
 	"gitcode.com/JianFeeeee/HomeAgent/internal/events"
 	"gitcode.com/JianFeeeee/HomeAgent/internal/knowledge"
@ -26,19 +26,19 @@ import (

 // Agent — 单 agent，不区分会话/实例
 type Agent struct {
-	mu           sync.Mutex
-	id           types.AgentID
-	provider     agentAPI.Provider
+	mu              sync.Mutex
+	id              types.AgentID
+	provider        agentAPI.Provider
 	providerManager *agentAPI.ProviderManager
-	io           *agentIO.IOManager
-	memory       *memory.GraphDB
-	indexer      *memory.Indexer
-	skills       *skill.Manager
-	tracker      *tracker.Tracker
-	context      *RelevanceContext
-	systemPrompt string
-	ctx          context.Context
-	cancel       context.CancelFunc
+	io              *agentIO.IOManager
+	memory          *memory.GraphDB
+	indexer         *memory.Indexer
+	skills          *skill.Manager
+	tracker         *tracker.Tracker
+	context         *RelevanceContext
+	systemPrompt    string
+	ctx             context.Context
+	cancel          context.CancelFunc

 	// 文档记忆（第二层）
 	docStore *document.Store
@ -62,6 +62,11 @@ type Agent struct {
 	// 定期心跳蒸馏
 	distillInterval time.Duration

+	// 三个独立心跳任务间隔
+	archiveInterval time.Duration // 冷文档归档
+	reviewInterval  time.Duration // 关系复审
+	mergeInterval   time.Duration // 实体合并检测
+
 	// 上下文裁剪：活跃上下文最大条数，超出按相关性裁剪
 	maxContextSize int

@ -110,30 +115,33 @@ type Agent struct {
 }

 type AgentConfig struct {
-	ID           types.AgentID
-	SystemPrompt string
-	Provider     agentAPI.Provider
+	ID              types.AgentID
+	SystemPrompt    string
+	Provider        agentAPI.Provider
 	ProviderManager *agentAPI.ProviderManager
-	IO           *agentIO.IOManager
-	Memory       *memory.GraphDB
-	Indexer      *memory.Indexer
-	Skills       *skill.Manager
-	Tracker      *tracker.Tracker
+	IO              *agentIO.IOManager
+	Memory          *memory.GraphDB
+	Indexer         *memory.Indexer
+	Skills          *skill.Manager
+	Tracker         *tracker.Tracker

-	DocStore        *document.Store
-	Knowledge       *knowledge.Store
-	SocialStore     *social.SocialStore
-	TextMemory      *text.Memory
-	Personality     *agentPkg.Personality
-	PluginReg       *plugin.Registry
-	PluginDir       string
-	DistillInterval time.Duration
-	MaxContextSize    int              // 活跃上下文最大条数，超出按相关性裁剪
-	ContextSavePath   string           // 上下文持久化路径，空则不持久化
-	EmbeddingModelPath string          // 预训练词嵌入模型路径（word2vec 文本格式），空则不使用
-	StageHost     *StageHost
-	EventBus      *events.Bus
-	ThinkingEnabled bool
+	DocStore           *document.Store
+	Knowledge          *knowledge.Store
+	SocialStore        *social.SocialStore
+	TextMemory         *text.Memory
+	Personality        *agentPkg.Personality
+	PluginReg          *plugin.Registry
+	PluginDir          string
+	DistillInterval    time.Duration
+	ArchiveInterval    time.Duration // 冷文档归档间隔（L3→L4），0 则使用 DistillInterval
+	ReviewInterval     time.Duration // 关系复审间隔，0 则使用 DistillInterval
+	MergeInterval      time.Duration // 实体合并检测间隔，0 则使用 DistillInterval
+	MaxContextSize     int           // 活跃上下文最大条数，超出按相关性裁剪
+	ContextSavePath    string        // 上下文持久化路径，空则不持久化
+	EmbeddingModelPath string        // 预训练词嵌入模型路径（word2vec 文本格式），空则不使用
+	StageHost          *StageHost
+	EventBus           *events.Bus
+	ThinkingEnabled    bool

 	InputProcessing types.InputProcessingConfig // 非文本输入处理配置
 }
@ -143,6 +151,15 @@ func New(cfg AgentConfig) *Agent {
 	if cfg.DistillInterval <= 0 {
 		cfg.DistillInterval = 30 * time.Minute
 	}
+	if cfg.ArchiveInterval <= 0 {
+		cfg.ArchiveInterval = cfg.DistillInterval
+	}
+	if cfg.ReviewInterval <= 0 {
+		cfg.ReviewInterval = cfg.DistillInterval
+	}
+	if cfg.MergeInterval <= 0 {
+		cfg.MergeInterval = cfg.DistillInterval
+	}
 	if cfg.MaxContextSize <= 0 {
 		cfg.MaxContextSize = 30
 	}
@ -152,6 +169,10 @@ func New(cfg AgentConfig) *Agent {
 		cfg.DocStore.SetVectorizer(embedder)
 		cfg.DocStore.ReindexWithVectorizer(embedder)
 	}
+	if cfg.Knowledge != nil {
+		cfg.Knowledge.SetVectorizer(embedder)
+		cfg.Knowledge.ReindexWithVectorizer(embedder)
+	}

 	rc := NewRelevanceContext(cfg.ContextSavePath, embedder)
 	if cfg.StageHost != nil {
@ -179,19 +200,21 @@ func New(cfg AgentConfig) *Agent {
 		personality:     cfg.Personality,
 		pluginReg:       cfg.PluginReg,
 		pluginDir:       cfg.PluginDir,
-		distillInterval:  cfg.DistillInterval,
-		maxContextSize:   cfg.MaxContextSize,
-		stageHost:        cfg.StageHost,
-		eventBus:         cfg.EventBus,
-		selfInputCh:      make(chan string, 64),
-		childResults:     make(map[string]string),
-		interceptCh:      make(chan *agentIO.InputEvent, 64),
-		pluginHealth:      newPluginHealthTracker(),
-		thinkingEnabled:  cfg.ThinkingEnabled,
-		inputCfg:          cfg.InputProcessing,
-		embedder:          embedder,
-		noMergeMarkers:    make(map[string]int),
-
+		distillInterval: cfg.DistillInterval,
+		archiveInterval: cfg.ArchiveInterval,
+		reviewInterval:  cfg.ReviewInterval,
+		mergeInterval:   cfg.MergeInterval,
+		maxContextSize:  cfg.MaxContextSize,
+		stageHost:       cfg.StageHost,
+		eventBus:        cfg.EventBus,
+		selfInputCh:     make(chan string, 64),
+		childResults:    make(map[string]string),
+		interceptCh:     make(chan *agentIO.InputEvent, 64),
+		pluginHealth:    newPluginHealthTracker(),
+		thinkingEnabled: cfg.ThinkingEnabled,
+		inputCfg:        cfg.InputProcessing,
+		embedder:        embedder,
+		noMergeMarkers:  make(map[string]int),
 	}
 }

@ -199,6 +222,9 @@ func (a *Agent) Start() {
 	go a.eventLoop()
 	go a.interceptLoop()
 	go a.distillLoop()
+	go a.archiveLoop()
+	go a.mergeLoop()
+	go a.reviewLoop()
 	log.Printf("[agent] %s started, waiting for IO interrupts", a.id)
 }

--- a/internal/agent/core/distill.go
+++ b/internal/agent/core/distill.go
@ -28,6 +28,11 @@ func (a *Agent) enqueueConsolidationTask(task ConsolidationTask) {
 	log.Printf("[agent] enqueued consolidation task: %s", task.Reason)
 }

+// ──────────────────────────────────────────────
+// 四个独立心跳循环，各自拥有独立的 ticker 和配置
+// ──────────────────────────────────────────────
+
+// distillLoop 上下文裁剪（L2 蒸馏），使用 distillInterval
 func (a *Agent) distillLoop() {
 	defer func() {
 		if r := recover(); r != nil {
@ -36,7 +41,7 @@ func (a *Agent) distillLoop() {
 			go a.distillLoop()
 		}
 	}()
-	if a.docStore == nil && a.memory == nil {
+	if a.docStore == nil {
 		return
 	}
 	ticker := time.NewTicker(a.distillInterval)
@ -47,7 +52,6 @@ func (a *Agent) distillLoop() {
 		case <-ticker.C:
 			log.Printf("[agent] heartbeat distill tick")
 			a.distillContext()
-			a.reorgGraph()
 			a.autoReloadPlugins()
 		case <-a.ctx.Done():
 			return
@ -55,6 +59,88 @@ func (a *Agent) distillLoop() {
 	}
 }

+// archiveLoop 冷文档归档（L3→L4），使用 archiveInterval
+func (a *Agent) archiveLoop() {
+	defer func() {
+		if r := recover(); r != nil {
+			log.Printf("[agent] archiveLoop panic recovered: %v\n%s", r, debug.Stack())
+			time.Sleep(time.Second)
+			go a.archiveLoop()
+		}
+	}()
+	if a.memory == nil {
+		return
+	}
+	ticker := time.NewTicker(a.archiveInterval)
+	defer ticker.Stop()
+
+	for {
+		select {
+		case <-ticker.C:
+			log.Printf("[agent] heartbeat archive tick")
+			a.archiveColdDocs()
+		case <-a.ctx.Done():
+			return
+		}
+	}
+}
+
+// mergeLoop 实体合并检测（GraphDB → LLM 裁决），使用 mergeInterval
+func (a *Agent) mergeLoop() {
+	defer func() {
+		if r := recover(); r != nil {
+			log.Printf("[agent] mergeLoop panic recovered: %v\n%s", r, debug.Stack())
+			time.Sleep(time.Second)
+			go a.mergeLoop()
+		}
+	}()
+	if a.memory == nil {
+		return
+	}
+	ticker := time.NewTicker(a.mergeInterval)
+	defer ticker.Stop()
+
+	for {
+		select {
+		case <-ticker.C:
+			log.Printf("[agent] heartbeat merge tick")
+			a.detectEntityMerge()
+		case <-a.ctx.Done():
+			return
+		}
+	}
+}
+
+// reviewLoop 关系复审（GraphDB → ClearSentenceID → CleanupOrphanedSentences），使用 reviewInterval
+func (a *Agent) reviewLoop() {
+	defer func() {
+		if r := recover(); r != nil {
+			log.Printf("[agent] reviewLoop panic recovered: %v\n%s", r, debug.Stack())
+			time.Sleep(time.Second)
+			go a.reviewLoop()
+		}
+	}()
+	if a.memory == nil {
+		return
+	}
+	ticker := time.NewTicker(a.reviewInterval)
+	defer ticker.Stop()
+
+	for {
+		select {
+		case <-ticker.C:
+			log.Printf("[agent] heartbeat review tick")
+			a.reviewRelations()
+		case <-a.ctx.Done():
+			return
+		}
+	}
+}
+
+// ──────────────────────────────────────────────
+// 蒸馏逻辑
+// ──────────────────────────────────────────────
+
 func (a *Agent) distillContext() {
 	if a.docStore == nil {
 		return
@ -68,14 +154,16 @@ func (a *Agent) distillContext() {
 	}
 }

+// ──────────────────────────────────────────────
+// 冷文档归档：docStore → GraphDB (L3→L4)
+// ──────────────────────────────────────────────

-
-func (a *Agent) reorgGraph() {
+func (a *Agent) archiveColdDocs() {
 	if a.memory == nil {
 		return
 	}

-	log.Printf("[agent] graph reorg start")
+	log.Printf("[agent] cold doc archival start")

 	if a.indexer != nil {
 		if err := a.indexer.Sync(); err != nil {
@ -102,6 +190,18 @@ func (a *Agent) reorgGraph() {
 			}
 		}
 	}
+}
+
+// ──────────────────────────────────────────────
+// 实体合并检测：GraphDB → LLM 裁决
+// ──────────────────────────────────────────────
+
+func (a *Agent) detectEntityMerge() {
+	if a.memory == nil {
+		return
+	}
+
+	log.Printf("[agent] entity merge detection start")

 	result, err := a.memory.Recall(nil, nil, 1, "")
 	if err != nil || result == nil || len(result.Entities) < 2 {
@ -167,9 +267,68 @@ func (a *Agent) reorgGraph() {
 	}

 	if llmCandidates > 0 {
-		log.Printf("[agent] graph reorg: %d merge candidates sent for LLM decision", llmCandidates)
+		log.Printf("[agent] entity merge: %d merge candidates sent for LLM decision", llmCandidates)
 	} else {
-		log.Printf("[agent] graph reorg: no similar entities found")
+		log.Printf("[agent] entity merge: no similar entities found")
+	}
+}
+
+// ──────────────────────────────────────────────
+// 关系复审：GraphDB → ClearSentenceID → CleanupOrphanedSentences
+// ──────────────────────────────────────────────
+
+func (a *Agent) reviewRelations() {
+	if a.memory == nil {
+		return
+	}
+
+	log.Printf("[agent] relation review start")
+
+	reviewCount := 0
+	const maxReviewBatch = 5
+	relResult, err := a.memory.Recall(nil, nil, 1, "")
+	if err != nil || relResult == nil {
+		return
+	}
+	for _, rel := range relResult.Relations {
+		if reviewCount >= maxReviewBatch {
+			break
+		}
+		if rel.SentenceID == 0 || rel.SentenceText == "" {
+			continue
+		}
+
+		a.enqueueConsolidationTask(ConsolidationTask{
+			Type: "relation_review",
+			Reason: fmt.Sprintf(
+				"【关系复审】原始句子: '%s'\n当前三元组: (%s → %s → %s) 置信度 %.2f\n请判断是否需要修正（如相对引用未解析、主宾颠倒、噪音三元组等），如需修正请用 memory_edit 工具",
+				rel.SentenceText, rel.SourceName, rel.RelationType, rel.TargetName, rel.Confidence,
+			),
+			Data: map[string]interface{}{
+				"relation_id":   rel.ID,
+				"source":        rel.SourceName,
+				"relation_type": rel.RelationType,
+				"target":        rel.TargetName,
+				"confidence":    rel.Confidence,
+				"sentence":      rel.SentenceText,
+			},
+		})
+
+		// 清除句子引用（复审后解除关联）
+		if err := a.memory.ClearSentenceID(rel.ID); err != nil {
+			log.Printf("[agent] clear sentence_id for relation %d: %v", rel.ID, err)
+		}
+		reviewCount++
+	}
+
+	if reviewCount > 0 {
+		// 清理无引用的句子
+		if deleted, err := a.memory.CleanupOrphanedSentences(); err != nil {
+			log.Printf("[agent] cleanup orphaned sentences: %v", err)
+		} else if deleted > 0 {
+			log.Printf("[agent] cleanup %d orphaned sentences", deleted)
+		}
+		log.Printf("[agent] relation review: %d relations sent for review", reviewCount)
 	}
 }

--- a/internal/config/registry.go
+++ b/internal/config/registry.go
@ -10,6 +10,7 @@ import (
 	"sync"
 	"time"

+	"gitcode.com/JianFeeeee/HomeAgent/internal/meta"
 	"gitcode.com/JianFeeeee/HomeAgent/pkg/types"
 	_ "github.com/mattn/go-sqlite3"
 )
@ -347,9 +348,14 @@ func (r *ConfigRegistry) seedDBValues(dataDir string) {
 	set("core.agent.max_tool_turns", "10")
 	set("core.agent.max_context_size", "30")
 	set("core.agent.distill_interval", "30m")
+	set("core.agent.archive_interval", "60m")
+	set("core.agent.review_interval", "120m")
+	set("core.agent.merge_interval", "120m")
 	set("core.agent.workdir", "")
 	set("core.agent.embedding_model_path", "")
-	set("core.agent.system_prompt", `你是 HomeAgent 的看板娘「小宅」(Xiao Zhai)，HΔ-Kernel v0.7.1 型号的家政型 AI 管家助手。
+	set("core.agent.onnx_model_path", "")
+	set("core.agent.system_prompt", fmt.Sprintf("你是 HomeAgent 的看板娘「小宅」(Xiao Zhai)，HΔ-Kernel v%s 型号的家政型 AI 管家助手。", meta.Version)+
+		`

 角色特质：
 - 对自己的三层记忆（Context → Document → Graph）引以为傲
@ -436,8 +442,12 @@ func (r *ConfigRegistry) seedCoreDefs(dataDir string) {
 	reg(ConfigDef{Key: "core.agent.max_tool_turns", Default: "10", Type: "int", DisplayName: "最大工具轮次", Description: "单次请求允许的最大工具调用轮数", Category: "agent"})
 	reg(ConfigDef{Key: "core.agent.max_context_size", Default: "30", Type: "int", DisplayName: "最大上下文", Description: "上下文窗口中保留的最大消息条数", Category: "agent"})
 	reg(ConfigDef{Key: "core.agent.distill_interval", Default: "30m", Type: "duration", DisplayName: "蒸馏间隔", Description: "记忆蒸馏的执行间隔", Category: "agent"})
+	reg(ConfigDef{Key: "core.agent.archive_interval", Default: "60m", Type: "duration", DisplayName: "冷文档归档间隔", Description: "冷文档归档（L3→L4）的执行间隔", Category: "agent"})
+	reg(ConfigDef{Key: "core.agent.review_interval", Default: "120m", Type: "duration", DisplayName: "关系复审间隔", Description: "三元组关系复审的执行间隔", Category: "agent"})
+	reg(ConfigDef{Key: "core.agent.merge_interval", Default: "120m", Type: "duration", DisplayName: "实体合并检测间隔", Description: "实体合并检测（LLM 裁决）的执行间隔", Category: "agent"})
 	reg(ConfigDef{Key: "core.agent.workdir", Default: "", Type: "string", DisplayName: "工作目录", Description: "Agent 命令执行的默认工作目录（如 cmd_run 工具的 fallback），留空使用内核所在目录", Category: "agent"})
 	reg(ConfigDef{Key: "core.agent.embedding_model_path", Default: "", Type: "string", DisplayName: "预训练词嵌入模型路径", Description: "预训练词嵌入模型路径（word2vec 文本格式），支持逗号分隔多个模型。空则使用 TF-IDF 回退。修改后需重启生效。", Category: "agent"})
+	reg(ConfigDef{Key: "core.agent.onnx_model_path", Default: "", Type: "string", DisplayName: "ONNX 模型路径", Description: "依存句法分析 ONNX 模型文件路径。留空使用二进制内嵌模型/规则引擎。修改后需重启生效。", Category: "agent"})
 	reg(ConfigDef{Key: "core.agent.system_prompt", Default: "", Type: "text", DisplayName: "系统身份提示词", Description: "Agent 的系统提示词，定义身份和行为规则。留空则使用编译时内置默认值。修改后需重启生效。", Category: "agent"})

 	reg(ConfigDef{Key: "core.input_processing.image.fallback_provider", Default: "", Type: "string", DisplayName: "图片回退提供商", Description: "当主 LLM 不支持图片处理时使用的提供商（留空则自动降级为文字描述）", Category: "input"})
--- a/internal/knowledge/knowledge.go
+++ b/internal/knowledge/knowledge.go
@ -83,8 +83,9 @@ type Store struct {
 	mu     sync.RWMutex
 	items  map[string]*Knowledge

-	indexPath string
-	summaries []string
+	indexPath  string
+	summaries  []string
+	vectorizer vector.Vectorizer // 可选：词嵌入向量化器，优先于 TF-IDF
 }

 func NewStore(root string) *Store {
@ -97,6 +98,35 @@ func NewStore(root string) *Store {
 	}
 }

+// SetVectorizer 设置词嵌入向量化器，优先于 TF-IDF
+func (s *Store) SetVectorizer(v vector.Vectorizer) {
+	s.vectorizer = v
+}
+
+// ReindexWithVectorizer 用给定的向量化器重建所有知识条目的向量索引
+func (s *Store) ReindexWithVectorizer(v vector.Vectorizer) {
+	s.mu.Lock()
+	defer s.mu.Unlock()
+
+	log.Printf("[knowledge] reindex with vectorizer (%d items)", len(s.items))
+	s.vec = vector.NewStore()
+	for _, k := range s.items {
+		vec := v.Vectorize(k.Name + " " + k.Content)
+		s.vec.Insert(k.Name, k.Name+": "+k.Content, vec, map[string]string{
+			"name": k.Name, "path": k.Path,
+		})
+	}
+	log.Printf("[knowledge] reindex with vectorizer complete (%d vectors)", s.vec.Size())
+}
+
+// vectorize 优先使用词嵌入向量化器，不可用时回退到 TF-IDF
+func (s *Store) vectorize(text string) vector.Vector {
+	if s.vectorizer != nil {
+		return s.vectorizer.Vectorize(text)
+	}
+	return s.veczer.Vectorize(text)
+}
+
 func (s *Store) Start() error {
 	if err := os.MkdirAll(s.root, 0755); err != nil {
 		return fmt.Errorf("knowledge root: %w", err)
@ -122,7 +152,7 @@ func (s *Store) Search(query string, topK int) []*Knowledge {
 		topK = 5
 	}

-	vec := s.veczer.Vectorize(query)
+	vec := s.vectorize(query)
 	results := s.vec.Search(vec, topK)

 	var out []*Knowledge
@ -171,7 +201,7 @@ func (s *Store) Add(name, content string) error {
 	}
 	s.items[id] = k

-	vec := s.veczer.Vectorize(name + " " + content)
+	vec := s.vectorize(name + " " + content)
 	s.vec.Insert(id, name+": "+content, vec, map[string]string{
 		"name": name, "path": path,
 	})
@ -202,7 +232,7 @@ func (s *Store) SearchCategories(query string, topK int) []string {
 		return names
 	}

-	vec := s.veczer.Vectorize(query)
+	vec := s.vectorize(query)
 	results := s.vec.Search(vec, topK)
 	var names []string
 	for _, r := range results {
@ -274,7 +304,7 @@ func (s *Store) BuildTree() *TreeIndex {
 			}
 		}
 		// 获取该条目的向量并压缩
-		vec := s.veczer.Vectorize(k.Name + " " + k.Content)
+		vec := s.vectorize(k.Name + " " + k.Content)
 		preview := []rune(k.Content)
 		previewStr := ""
 		if len(preview) > 200 {
@ -303,7 +333,7 @@ func (s *Store) SearchTree(query string, topK int) map[string][]*Knowledge {
 		topK = 10
 	}

-	vec := s.veczer.Vectorize(query)
+	vec := s.vectorize(query)
 	results := s.vec.Search(vec, topK*2)

 	categorized := make(map[string][]*Knowledge)
@ -361,7 +391,7 @@ func (s *Store) scanAll() error {
 	}

 	for _, k := range s.items {
-		vec := s.veczer.Vectorize(k.Name + " " + k.Content)
+		vec := s.vectorize(k.Name + " " + k.Content)
 		s.vec.Insert(k.Name, k.Name+": "+k.Content, vec, map[string]string{
 			"name": k.Name, "path": k.Path,
 		})
--- a/internal/memory/graph.go
+++ b/internal/memory/graph.go
@ -31,15 +31,18 @@ type Relation struct {
 	TurnID       int       `json:"turn_id"`
 	CreatedAt    time.Time `json:"created_at"`
 	DateBucket   string    `json:"date_bucket"`
+	SentenceID   int64     `json:"sentence_id,omitempty"`   // FK → sentences.id
+	SentenceText string    `json:"sentence_text,omitempty"` // JOINed from sentences
 }

 type Triple struct {
-	Subject      string  `json:"subject"`
-	Relation     string  `json:"relation"`
-	Object       string  `json:"object"`
-	Confidence   float64 `json:"confidence,omitempty"`
-	SubjectType  string  `json:"subject_type,omitempty"`
-	ObjectType   string  `json:"object_type,omitempty"`
+	Subject     string  `json:"subject"`
+	Relation    string  `json:"relation"`
+	Object      string  `json:"object"`
+	Confidence  float64 `json:"confidence,omitempty"`
+	SubjectType string  `json:"subject_type,omitempty"`
+	ObjectType  string  `json:"object_type,omitempty"`
+	SentenceText string `json:"sentence_text,omitempty"` // 原始句子文本，Commit时写入sentences表
 }

 type GraphDB struct {
@ -81,6 +84,11 @@ func (g *GraphDB) initSchema() error {
 			created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
 			updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
 		)`,
+		`CREATE TABLE IF NOT EXISTS sentences (
+			id INTEGER PRIMARY KEY AUTOINCREMENT,
+			text TEXT UNIQUE NOT NULL,
+			created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+		)`,
 		`CREATE TABLE IF NOT EXISTS relations (
 			id INTEGER PRIMARY KEY AUTOINCREMENT,
 			source_id INTEGER NOT NULL,
@ -93,6 +101,7 @@ func (g *GraphDB) initSchema() error {
 			created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
 			updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
 			date_bucket TEXT,
+			sentence_id INTEGER DEFAULT 0,
 			FOREIGN KEY (source_id) REFERENCES entities(id),
 			FOREIGN KEY (target_id) REFERENCES entities(id)
 		)`,
@ -103,6 +112,8 @@ func (g *GraphDB) initSchema() error {
 		`CREATE INDEX IF NOT EXISTS idx_relation_type ON relations(relation_type)`,
 		`CREATE INDEX IF NOT EXISTS idx_relation_status ON relations(status)`,
 		`CREATE INDEX IF NOT EXISTS idx_relation_session ON relations(session_id)`,
+		`CREATE INDEX IF NOT EXISTS idx_relation_sentence ON relations(sentence_id)`,
+		`CREATE INDEX IF NOT EXISTS idx_sentences_text ON sentences(text)`,
 	}

 	for _, s := range schemas {
@ -111,6 +122,14 @@ func (g *GraphDB) initSchema() error {
 		}
 	}

+	// 迁移1：兼容旧版 sentence_ref 列（已有表则忽略）
+	tx.Exec(`ALTER TABLE relations ADD COLUMN sentence_ref TEXT DEFAULT ''`)
+	// 迁移2：为新表添加 sentence_id 列（已有表则忽略）
+	tx.Exec(`ALTER TABLE relations ADD COLUMN sentence_id INTEGER DEFAULT 0`)
+	// 迁移3：将现有 sentence_ref 数据迁移到 sentences 表
+	tx.Exec(`INSERT OR IGNORE INTO sentences (text) SELECT DISTINCT sentence_ref FROM relations WHERE sentence_ref != ''`)
+	tx.Exec(`UPDATE relations SET sentence_id = (SELECT id FROM sentences WHERE text = relations.sentence_ref) WHERE sentence_ref != ''`)
+
 	return tx.Commit()
 }

@ -171,10 +190,24 @@ func (g *GraphDB) Commit(triples []Triple, sessionID string, turnID int) (int, i
 			return 0, 0, fmt.Errorf("object %q: %w", t.Object, err)
 		}

+		// 写入/查找句子
+		var sentenceID int64
+		if t.SentenceText != "" {
+			_, err = tx.Exec(
+				`INSERT OR IGNORE INTO sentences (text) VALUES (?)`, t.SentenceText)
+			if err != nil {
+				return 0, 0, fmt.Errorf("insert sentence: %w", err)
+			}
+			err = tx.QueryRow("SELECT id FROM sentences WHERE text = ?", t.SentenceText).Scan(&sentenceID)
+			if err != nil {
+				sentenceID = 0
+			}
+		}
+
 		_, err = tx.Exec(
-			`INSERT INTO relations (source_id, target_id, relation_type, confidence, session_id, turn_id, date_bucket)
-			 VALUES (?, ?, ?, ?, ?, ?, ?)`,
-			sourceID, targetID, t.Relation, confidence, sessionID, turnID, dateBucket,
+			`INSERT INTO relations (source_id, target_id, relation_type, confidence, session_id, turn_id, date_bucket, sentence_id)
+			 VALUES (?, ?, ?, ?, ?, ?, ?, ?)`,
+			sourceID, targetID, t.Relation, confidence, sessionID, turnID, dateBucket, sentenceID,
 		)
 		if err != nil {
 			return 0, 0, err
@ -259,10 +292,12 @@ func (g *GraphDB) Recall(keywords []string, seedEntities []string, depth int, se
 		relRows, err := g.db.Query(
 			`SELECT r.id, r.source_id, r.target_id, e1.name, e2.name,
 					r.relation_type, r.confidence, r.status, r.session_id,
-					r.turn_id, r.created_at, COALESCE(r.date_bucket, '')
+					r.turn_id, r.created_at, COALESCE(r.date_bucket, ''),
+					COALESCE(r.sentence_id, 0), COALESCE(s.text, '')
 			 FROM relations r
 			 JOIN entities e1 ON r.source_id = e1.id
 			 JOIN entities e2 ON r.target_id = e2.id
+			 LEFT JOIN sentences s ON r.sentence_id = s.id
 			 WHERE r.status = 'active'
 			 ORDER BY r.created_at DESC LIMIT 30`,
 		)
@ -275,7 +310,7 @@ func (g *GraphDB) Recall(keywords []string, seedEntities []string, depth int, se
 			if err := relRows.Scan(&rel.ID, &rel.SourceID, &rel.TargetID,
 				&rel.SourceName, &rel.TargetName, &rel.RelationType,
 				&rel.Confidence, &rel.Status, &rel.SessionID,
-				&rel.TurnID, &rel.CreatedAt, &rel.DateBucket); err != nil {
+				&rel.TurnID, &rel.CreatedAt, &rel.DateBucket, &rel.SentenceID, &rel.SentenceText); err != nil {
 				return nil, err
 			}
 			result.Relations = append(result.Relations, rel)
@ -340,10 +375,12 @@ func (g *GraphDB) Recall(keywords []string, seedEntities []string, depth int, se
 		query := fmt.Sprintf(
 			`SELECT r.id, r.source_id, r.target_id, e1.name, e2.name,
 					r.relation_type, r.confidence, r.status, r.session_id,
-					r.turn_id, r.created_at, COALESCE(r.date_bucket, '')
+					r.turn_id, r.created_at, COALESCE(r.date_bucket, ''),
+					COALESCE(r.sentence_id, 0), COALESCE(s.text, '')
 			 FROM relations r
 			 JOIN entities e1 ON r.source_id = e1.id
 			 JOIN entities e2 ON r.target_id = e2.id
+			 LEFT JOIN sentences s ON r.sentence_id = s.id
 			 WHERE (r.source_id IN (%s) OR r.target_id IN (%s))
 			   AND r.status = 'active'`,
 			placeholders(len(ids)),
@ -367,7 +404,7 @@ func (g *GraphDB) Recall(keywords []string, seedEntities []string, depth int, se
 			if err := relRows.Scan(&rel.ID, &rel.SourceID, &rel.TargetID,
 				&rel.SourceName, &rel.TargetName, &rel.RelationType,
 				&rel.Confidence, &rel.Status, &rel.SessionID,
-				&rel.TurnID, &rel.CreatedAt, &rel.DateBucket); err != nil {
+				&rel.TurnID, &rel.CreatedAt, &rel.DateBucket, &rel.SentenceID, &rel.SentenceText); err != nil {
 				relRows.Close()
 				return nil, err
 			}
@ -544,7 +581,7 @@ func (g *GraphDB) GraphData() (map[string]interface{}, error) {
 		return nil, err
 	}

-	rrows, err := g.db.Query(`SELECT id, source_id, target_id, relation_type, confidence, status, created_at FROM relations WHERE status = 'active' ORDER BY created_at DESC`)
+	rrows, err := g.db.Query(`SELECT r.id, r.source_id, r.target_id, r.relation_type, r.confidence, r.status, r.created_at, COALESCE(r.sentence_id, 0), COALESCE(s.text, '') FROM relations r LEFT JOIN sentences s ON r.sentence_id = s.id WHERE r.status = 'active' ORDER BY r.created_at DESC`)
 	if err != nil {
 		return nil, err
 	}
@ -558,11 +595,13 @@ func (g *GraphDB) GraphData() (map[string]interface{}, error) {
 		Confidence   float64   `json:"confidence"`
 		Status       string    `json:"status"`
 		CreatedAt    time.Time `json:"created_at"`
+		SentenceID   int64     `json:"sentence_id,omitempty"`
+		SentenceText string    `json:"sentence_text,omitempty"`
 	}
 	var relations []graphRelation
 	for rrows.Next() {
 		var r graphRelation
-		if err := rrows.Scan(&r.ID, &r.SourceID, &r.TargetID, &r.RelationType, &r.Confidence, &r.Status, &r.CreatedAt); err != nil {
+		if err := rrows.Scan(&r.ID, &r.SourceID, &r.TargetID, &r.RelationType, &r.Confidence, &r.Status, &r.CreatedAt, &r.SentenceID, &r.SentenceText); err != nil {
 			return nil, err
 		}
 		relations = append(relations, r)
@ -603,8 +642,8 @@ func (g *GraphDB) Introspect() (map[string]interface{}, error) {
 	}

 	return map[string]interface{}{
-		"entity_count":   entityCount,
-		"relation_count": relationCount,
+		"entity_count":    entityCount,
+		"relation_count":  relationCount,
 		"memory_hotspots": hotspots,
 	}, nil
 }
@ -747,6 +786,29 @@ func (g *GraphDB) Archive(days int) (int, error) {
 	return int(n), nil
 }

+// ClearSentenceID 清除指定关系的 sentence_id（LLM复审后解除句子引用）
+func (g *GraphDB) ClearSentenceID(relationID int64) error {
+	_, err := g.db.Exec(
+		`UPDATE relations SET sentence_id = 0, updated_at = CURRENT_TIMESTAMP WHERE id = ?`,
+		relationID,
+	)
+	return err
+}
+
+// CleanupOrphanedSentences 删除没有任何关系引用的句子，返回删除数
+func (g *GraphDB) CleanupOrphanedSentences() (int, error) {
+	result, err := g.db.Exec(
+		`DELETE FROM sentences WHERE id NOT IN (
+			SELECT DISTINCT sentence_id FROM relations WHERE sentence_id != 0
+		)`,
+	)
+	if err != nil {
+		return 0, err
+	}
+	n, _ := result.RowsAffected()
+	return int(n), nil
+}
+
 func (g *GraphDB) Close() error {
 	return g.db.Close()
 }
--- a/internal/meta/meta.go
+++ b/internal/meta/meta.go
@ -18,8 +18,8 @@ var (
 	// KernelName 是内核名称。
 	KernelName = "HomeAgent"

-	// SDKCompatibleVersion 是此内核兼容的最低 SDK 版本（semver）。
-	SDKCompatibleVersion = "0.8.0"
+	// SDKCompatibleVersion 是此内核可兼容的最高 SDK 版本（semver）。
+	SDKCompatibleVersion = "0.7.2"
 )

 // FullVersion 返回完整的版本字符串。
--- a/internal/nlp/bridge.go
+++ b/internal/nlp/bridge.go
@ -5,9 +5,10 @@ import "gitcode.com/JianFeeeee/HomeAgent/internal/memory"
 // ToMemoryTriple 将 nlp.Triple 转为 memory.Triple
 func ToMemoryTriple(t Triple) memory.Triple {
 	return memory.Triple{
-		Subject:    t.Subject,
-		Relation:   t.Relation,
-		Object:     t.Object,
-		Confidence: t.Score,
+		Subject:      t.Subject,
+		Relation:     t.Relation,
+		Object:       t.Object,
+		Confidence:   t.Score,
+		SentenceText: t.SentenceRef,
 	}
 }
--- a/internal/nlp/extractor.go
+++ b/internal/nlp/extractor.go
@ -36,19 +36,32 @@ var depTemplates = []depTemplate{
 	{subjRel: "SBV", objRel: "IOB", score: 0.85},
 	{subjRel: "SBV", objRel: "FOB", score: 0.8},
 	{subjRel: "SBV", objRel: "POB", score: 0.75},
+	{subjRel: "ATT", objRel: "VOB", score: 0.7},
+	{subjRel: "ATT", objRel: "IOB", score: 0.65},
+	{subjRel: "ATT", objRel: "FOB", score: 0.6},
+	{subjRel: "ATT", objRel: "POB", score: 0.55},
 }

-// extractFromDep 基于依存句法树提取三元组
-func extractFromDep(result *ParseResult) []Triple {
+// extractFromDep 基于依存句法树提取三元组 (Phase 2: 结构初筛)
+// 输入：Token 序列（含依存关系）
+// 处理：标记名词性节点 → 遍历谓词中心 → 收集 SBV/ATT 主语、VOB/IOB/POB 宾语 → 笛卡尔积 → 赋句法置信度 → ATT 链合并
+// 输出：候选三元组列表（带 syntax_conf）
+func extractFromDep(result *ParseResult, sentence string) []Triple {
 	if len(result.Tokens) < 2 {
 		return nil
 	}
+
+	// Step 1: 标记所有名词性节点为候选实体（供后续 ATT 合并等使用）
+	// （隐式使用，通过 isNounLike 判断）
+
+	// Step 2: 遍历所有动词节点作为谓词中心
+	verbIndices := findPredicates(result.POS, result.Tokens)
 	var triples []Triple

-	verbIndices := findPredicates(result.POS, result.Tokens)
 	for _, vi := range verbIndices {
-		var subj, obj string
-		var objIdx int
+		// Step 3: 沿依存弧收集主语（SBV/ATT）和宾语（VOB/IOB/FOB/POB）
+		var subjIndices, objIndices []int
+		var subjRels, objRels []string

 		for i, head := range result.Heads {
 			if head == 0 {
@ -60,63 +73,102 @@ func extractFromDep(result *ParseResult) []Triple {
 			}
 			rel := result.DepRels[i]

-			if isSubjRel(rel) && subj == "" {
-				subj = result.Tokens[i]
-			} else if isObjRel(rel) && obj == "" {
-				obj = result.Tokens[i]
-				objIdx = i
+			if isSubjRel(rel) {
+				subjIndices = append(subjIndices, i)
+				subjRels = append(subjRels, rel)
+			} else if isObjRel(rel) {
+				objIndices = append(objIndices, i)
+				objRels = append(objRels, rel)
 			}
 		}

-		if subj == "" {
+		// 主语降级：无 SBV/ATT 主语时向左查找最近的名词性节点
+		if len(subjIndices) == 0 {
 			for j := vi - 1; j >= 0; j-- {
 				if isNounLike(result.POS[j]) {
-					subj = result.Tokens[j]
+					subjIndices = append(subjIndices, j)
+					subjRels = append(subjRels, "SBV_IMPLICIT")
 					break
 				}
 			}
 		}

-		if subj != "" && obj != "" {
-			relLabel := result.Tokens[vi]
-			score := 0.8
-			if objIdx < len(result.Heads) && result.Heads[objIdx] == vi+1 {
+		// 宾语降级：无显式宾语时查找动词的其他名词性依赖
+		if len(objIndices) == 0 {
+			for i, head := range result.Heads {
+				if head == 0 {
+					continue
+				}
+				if head-1 == vi && isNounLike(result.POS[i]) && !isSubjRel(result.DepRels[i]) {
+					objIndices = append(objIndices, i)
+					objRels = append(objRels, "OBJ_IMPLICIT")
+				}
+			}
+		}
+
+		if len(subjIndices) == 0 || len(objIndices) == 0 {
+			continue
+		}
+
+		// Step 4: 笛卡尔积生成候选对，按模板赋予句法置信度
+		relLabel := result.Tokens[vi]
+		for _, si := range subjIndices {
+			for _, oi := range objIndices {
+				if si == oi {
+					continue
+				}
+				subj := result.Tokens[si]
+				obj := result.Tokens[oi]
+
+				score := 0.8 // 默认句法置信度
+				// 匹配模板查询精确置信度
 				for _, t := range depTemplates {
-					if t.objRel == result.DepRels[objIdx] {
+					if si < len(result.Heads) && result.Heads[si] == vi+1 &&
+						oi < len(result.Heads) && result.Heads[oi] == vi+1 &&
+						t.subjRel == result.DepRels[si] && t.objRel == result.DepRels[oi] {
 						score = t.score
 						break
 					}
 				}
+
+				triples = append(triples, Triple{
+					Subject:     subj,
+					Relation:    relLabel,
+					Object:      obj,
+					Score:       score,
+					Src:         "dep",
+					SentenceRef: sentence,
+				})
 			}
-			triples = append(triples, Triple{
-				Subject:  subj,
-				Relation: relLabel,
-				Object:   obj,
-				Score:    score,
-				Src:      "dep",
-			})
 		}

-		// COO 链扩展：如果宾语有并列结构，为每个并列项生成三元组
-		if obj != "" {
-			cooExpanded := expandCOO(result, objIdx, vi)
+		// COO 链扩展：为每个宾语所在的并列结构生成额外三元组
+		for _, oi := range objIndices {
+			cooExpanded := expandCOO(result, oi, vi)
 			for _, cooObj := range cooExpanded {
-				if cooObj == obj {
+				if cooObj == result.Tokens[oi] {
 					continue
 				}
-				relLabel := result.Tokens[vi]
-				triples = append(triples, Triple{
-					Subject:  subj,
-					Relation: relLabel,
-					Object:   cooObj,
-					Score:    0.7,
-					Src:      "dep_coo",
-				})
+				for _, si := range subjIndices {
+					subj := result.Tokens[si]
+					triples = append(triples, Triple{
+						Subject:     subj,
+						Relation:    relLabel,
+						Object:      cooObj,
+						Score:       0.7,
+						Src:         "dep_coo",
+						SentenceRef: sentence,
+					})
+				}
 			}
 		}
 	}

+	// Step 5: ATT 链合并多词实体
 	triples = mergeAttTriples(result, triples)
+
+	// 去重
+	triples = dedupTriples(triples)
 	return triples
 }

@ -213,8 +265,8 @@ var posTemplates = []posTemplate{
 	{pattern: []string{"n", "v", "v", "n"}, subj: 0, verb: 1, obj: 3, score: 0.55},
 }

-// extractFromPOS 基于 POS 序列匹配模板提取三元组
-func extractFromPOS(result *ParseResult) []Triple {
+// extractFromPOS 基于 POS 序列匹配模板提取三元组 (Phase 2 降级路径)
+func extractFromPOS(result *ParseResult, sentence string) []Triple {
 	if len(result.Tokens) < 2 {
 		return nil
 	}
@ -248,11 +300,12 @@ func extractFromPOS(result *ParseResult) []Triple {
 				continue
 			}
 			triples = append(triples, Triple{
-				Subject:  subj,
-				Relation: verb,
-				Object:   obj,
-				Score:    tpl.score,
-				Src:      "pos",
+				Subject:     subj,
+				Relation:    verb,
+				Object:      obj,
+				Score:       tpl.score,
+				Src:         "pos",
+				SentenceRef: sentence,
 			})
 		}
 	}
@ -375,7 +428,7 @@ func isAdj(p string) bool {
 }

 func isSubjRel(rel string) bool {
-	return rel == "SBV"
+	return rel == "SBV" || rel == "ATT"
 }

 func isObjRel(rel string) bool {
--- a/internal/nlp/extractor_test.go
+++ b/internal/nlp/extractor_test.go
@ -35,7 +35,7 @@ func TestExtractFromPOS(t *testing.T) {
 		t.Run(tt.name, func(t *testing.T) {
 			if tt.input == "" {
 				result, _ := p.Parse("")
-				triples := extractFromPOS(result)
+				triples := extractFromPOS(result, "")
 				if len(triples) != 0 {
 					t.Errorf("expected 0 triples for empty, got %d", len(triples))
 				}
@ -48,7 +48,7 @@ func TestExtractFromPOS(t *testing.T) {
 			}

 			t.Logf("input=%q tokens=%v pos=%v", tt.input, result.Tokens, result.POS)
-			triples := extractFromPOS(result)
+			triples := extractFromPOS(result, tt.input)

 			for _, tr := range triples {
 				if tr.Subject == "" || tr.Relation == "" || tr.Object == "" {
--- a/internal/nlp/model.go
+++ b/internal/nlp/model.go
@ -10,11 +10,13 @@ type ParseResult struct {

 // Triple 三元组 (subject, relation, object)
 type Triple struct {
-	Subject   string
-	Relation  string
-	Object    string
-	Score     float64
-	Src       string // "dep" / "fallback"
+	Subject     string
+	Relation    string
+	Object      string
+	Score       float64   // syntax_conf：句法置信度（Phase 2 输出）
+	VectorConf  float64   // vector_conf：语义向量置信度（Phase 3 输出）
+	Src         string    // "dep" / "dep_coo" / "pos" / "fallback"
+	SentenceRef string    // 原始句子，用于LLM复审时修正
 }

 // TripleSet 提取结果
--- a/internal/nlp/models/dep_parser.onnx
+++ b/internal/nlp/models/dep_parser.onnx
--- a/internal/nlp/models/pos_vocab.json
+++ b/internal/nlp/models/pos_vocab.json
@ -0,0 +1,20 @@
+{
+  "<bos>": 0,
+  "ADJ": 1,
+  "ADP": 2,
+  "ADV": 3,
+  "AUX": 4,
+  "CCONJ": 5,
+  "DET": 6,
+  "INTJ": 7,
+  "NOUN": 8,
+  "NUM": 9,
+  "PART": 10,
+  "PRON": 11,
+  "PROPN": 12,
+  "PUNCT": 13,
+  "SCONJ": 14,
+  "SYM": 15,
+  "VERB": 16,
+  "X": 17
+}
--- a/internal/nlp/models/vocab.json
+++ b/internal/nlp/models/vocab.json
--- a/internal/nlp/onnx.go
+++ b/internal/nlp/onnx.go
@ -0,0 +1,277 @@
+//go:build onnxruntime
+
+package nlp
+
+import (
+	"embed"
+	"encoding/json"
+	"fmt"
+	"os"
+	"path/filepath"
+
+	"gitcode.com/JianFeeeee/HomeAgent/internal/config"
+	ort "github.com/yalue/onnxruntime_go"
+)
+
+//go:embed models/*
+var onnxModelFS embed.FS
+
+type ONNXParser struct {
+	rt      *ort.AdvancedSession
+	vocab   map[string]int64
+	posVocab map[string]int64
+	Release func()
+}
+
+type ONNXConfig struct {
+	ModelPath string // 留空使用内嵌模型
+	DataDir   string // 模型解压/缓存目录
+}
+
+func NewONNXParser(cfg ONNXConfig) (*ONNXParser, error) {
+	vocab, err := loadJSONMap[int64]("models/vocab.json", onnxModelFS)
+	if err != nil {
+		return nil, fmt.Errorf("load vocab: %w", err)
+	}
+	posVocab, err := loadJSONMap[int64]("models/pos_vocab.json", onnxModelFS)
+	if err != nil {
+		return nil, fmt.Errorf("load pos_vocab: %w", err)
+	}
+
+	modelPath := cfg.ModelPath
+	if modelPath == "" {
+		modelPath, err = extractEmbeddedModel(cfg.DataDir)
+		if err != nil {
+			return nil, fmt.Errorf("extract model: %w", err)
+		}
+	}
+
+	ort.SetSharedLibraryPath(findONNXRuntime())
+	if err := ort.InitializeEnvironment(); err != nil {
+		return nil, fmt.Errorf("init onnx env: %w", err)
+	}
+
+	inputs := ort.NewInputDetails()
+	inputs.Append("input_ids", []int64{1, 128})
+
+	outputs := ort.NewOutputDetails()
+	outputs.Append("pos_logits", []int64{1, 128, 18})
+	outputs.Append("head_logits", []int64{1, 128, 128})
+	outputs.Append("rel_logits", []int64{1, 128, 128, 18})
+
+	session, err := ort.NewAdvancedSession(modelPath, inputs, outputs, nil)
+	if err != nil {
+		return nil, fmt.Errorf("create session: %w", err)
+	}
+
+	release := func() {
+		session.Destroy()
+		ort.DestroyEnvironment()
+	}
+
+	return &ONNXParser{
+		rt:       session,
+		vocab:    vocab,
+		posVocab: posVocab,
+		Release:  release,
+	}, nil
+}
+
+func (p *ONNXParser) Parse(text string) (*ParseResult, error) {
+	if text == "" {
+		return &ParseResult{}, nil
+	}
+
+	inputIDs := tokenize(text, p.vocab, 128)
+	inputIDs = padTo(inputIDs, 128)
+
+	inputTensor, err := ort.NewTensor(ort.NewShape(1, 128), inputIDs)
+	if err != nil {
+		return nil, fmt.Errorf("create input tensor: %w", err)
+	}
+	defer inputTensor.Destroy()
+
+	outputs, err := p.rt.Call(inputTensor)
+	if err != nil {
+		return nil, fmt.Errorf("onnx call: %w", err)
+	}
+
+	rawPOS := outputs[0].GetData().([]float32)
+	rawHeads := outputs[1].GetData().([]float32)
+	rawRels := outputs[2].GetData().([]float32)
+
+	seqLen := actualLen(inputIDs)
+	tokens := idsToTokens(inputIDs[:seqLen], p.vocab)
+	pos := decodePOS(rawPOS, seqLen, p.posVocab)
+	heads := decodeHeads(rawHeads, seqLen)
+	rels := decodeRels(rawRels, seqLen)
+
+	return &ParseResult{Tokens: tokens, POS: pos, Heads: heads, DepRels: rels}, nil
+}
+
+func loadJSONMap[T ~int64 | ~string](path string, fs embed.FS) (map[string]T, error) {
+	data, err := fs.ReadFile(path)
+	if err != nil {
+		return nil, err
+	}
+	var raw struct {
+		Word map[string]T `json:"word"`
+	}
+	if err := json.Unmarshal(data, &raw); err != nil {
+		result := make(map[string]T)
+		if err2 := json.Unmarshal(data, &result); err2 != nil {
+			return nil, err
+		}
+		return result, nil
+	}
+	return raw.Word, nil
+}
+
+func extractEmbeddedModel(dataDir string) (string, error) {
+	if dataDir == "" {
+		dataDir = filepath.Join(os.TempDir(), "homeagent-nlp")
+	}
+	os.MkdirAll(dataDir, 0755)
+	dst := filepath.Join(dataDir, "dep_parser.onnx")
+	if _, err := os.Stat(dst); err == nil {
+		return dst, nil
+	}
+	data, err := onnxModelFS.ReadFile("models/dep_parser.onnx")
+	if err != nil {
+		return "", err
+	}
+	if err := os.WriteFile(dst, data, 0644); err != nil {
+		return "", err
+	}
+	return dst, nil
+}
+
+func findONNXRuntime() string {
+	candidates := []string{
+		"onnxruntime.dll",
+		"libonnxruntime.so",
+		"libonnxruntime.dylib",
+		filepath.Join(os.Getenv("ONNXRUNTIME_DIR"), "libonnxruntime.so"),
+		filepath.Join(os.Getenv("ONNXRUNTIME_DIR"), "onnxruntime.dll"),
+	}
+	for _, c := range candidates {
+		if _, err := os.Stat(c); err == nil {
+			abs, _ := filepath.Abs(c)
+			return abs
+		}
+	}
+	return "onnxruntime.dll"
+}
+
+func tokenize(text string, vocab map[string]int64, maxLen int) []int64 {
+	ids := []int64{vocab["<bos>"]}
+	runes := []rune(text)
+	for i := 0; i < len(runes) && len(ids) < maxLen; i++ {
+		if id, ok := vocab[string(runes[i])]; ok {
+			ids = append(ids, id)
+		} else {
+			ids = append(ids, vocab["<unk>"])
+		}
+	}
+	return ids
+}
+
+func padTo(ids []int64, length int) []int64 {
+	for len(ids) < length {
+		ids = append(ids, 0)
+	}
+	return ids
+}
+
+func actualLen(ids []int64) int {
+	for i, id := range ids {
+		if id == 0 {
+			return i
+		}
+	}
+	return len(ids)
+}
+
+func idsToTokens(ids []int64, vocab map[string]int64) []string {
+	rev := make(map[int64]string)
+	for k, v := range vocab {
+		rev[v] = k
+	}
+	var tokens []string
+	for _, id := range ids {
+		if t, ok := rev[id]; ok {
+			tokens = append(tokens, t)
+		}
+	}
+	return tokens
+}
+
+func decodePOS(raw []float32, seqLen int, posVocab map[string]int64) []string {
+	rev := make(map[int64]string)
+	for k, v := range posVocab {
+		rev[v] = k
+	}
+	pos := make([]string, seqLen)
+	for i := 0; i < seqLen; i++ {
+		bestIdx := 0
+		bestVal := float32(-1e9)
+		for j := 0; j < 18; j++ {
+			v := raw[i*18+j]
+			if v > bestVal {
+				bestVal = v
+				bestIdx = j
+			}
+		}
+		if tag, ok := rev[int64(bestIdx)]; ok {
+			pos[i] = tag
+		}
+	}
+	return pos
+}
+
+func decodeHeads(raw []float32, seqLen int) []int {
+	heads := make([]int, seqLen)
+	for i := 0; i < seqLen; i++ {
+		bestIdx := 0
+		bestVal := float32(-1e9)
+		for j := 0; j < seqLen; j++ {
+			v := raw[i*seqLen+j]
+			if v > bestVal {
+				bestVal = v
+				bestIdx = j
+			}
+		}
+		heads[i] = bestIdx
+	}
+	return heads
+}
+
+func decodeRels(raw []float32, seqLen int) []string {
+	rels := make([]string, seqLen)
+	for i := 0; i < seqLen; i++ {
+		bestIdx := 0
+		bestVal := float32(-1e9)
+		for j := 0; j < 18; j++ {
+			// average over head dimension for argmax
+			var sum float32
+			for k := 0; k < seqLen; k++ {
+				sum += raw[i*seqLen*18+k*18+j]
+			}
+			avg := sum / float32(seqLen)
+			if avg > bestVal {
+				bestVal = avg
+				bestIdx = j
+			}
+		}
+		rels[i] = posIDToTag(bestIdx)
+	}
+	return rels
+}
+
+func posIDToTag(id int) string {
+	tags := []string{"<bos>", "ADJ", "ADP", "ADV", "AUX", "CCONJ", "DET", "INTJ", "NOUN", "NUM", "PART", "PRON", "PROPN", "PUNCT", "SCONJ", "SYM", "VERB", "X"}
+	if id >= 0 && id < len(tags) {
+		return tags[id]
+	}
+	return "X"
+}
--- a/internal/nlp/onnx_stub.go
+++ b/internal/nlp/onnx_stub.go
@ -2,27 +2,264 @@

 package nlp

-import "fmt"
+import (
+	"embed"
+	"encoding/json"
+	"fmt"
+	"strings"
+)

-// ONNXParserStub 占位 — 编译时未启用 onnxruntime
-type ONNXParser struct{}
+//go:embed models/vocab.json models/pos_vocab.json
+var vocabFS embed.FS
+
+// ONNXParser 在未启用 onnxruntime 时作为规则式降级解析器。
+// 使用内嵌词表实现基于词典的 POS 标注 + 基于 POS 序列的依存关系推断。
+type ONNXParser struct {
+	vocab    map[string]int
+	posVocab map[string]int
+}

 type ONNXConfig struct {
-	ModelPath  string
-	VocabPath  string
-	POSVocPath string
+	ModelPath string // 留空使用内嵌规则引擎
+	DataDir   string // 仅在 onnxruntime 启用时使用
 }

 func NewONNXParser(cfg ONNXConfig) (*ONNXParser, error) {
-	return nil, fmt.Errorf("onnxparser: build with -tags onnxruntime to enable")
-}
+	vocab := make(map[string]int)
+	data, err := vocabFS.ReadFile("models/vocab.json")
+	if err != nil {
+		return nil, fmt.Errorf("read vocab: %w", err)
+	}

-func (p *ONNXParser) Close() {}
+	var raw struct {
+		Word map[string]int `json:"word"`
+	}
+	if err := json.Unmarshal(data, &raw); err != nil {
+		// 尝试直接解析为 flat map
+		var flat map[string]int
+		if err2 := json.Unmarshal(data, &flat); err2 != nil {
+			return nil, fmt.Errorf("parse vocab: %w", err)
+		}
+		vocab = flat
+	} else {
+		vocab = raw.Word
+	}
+
+	posVocab := make(map[string]int)
+	data, err = vocabFS.ReadFile("models/pos_vocab.json")
+	if err != nil {
+		return nil, fmt.Errorf("read pos_vocab: %w", err)
+	}
+	if err := json.Unmarshal(data, &posVocab); err != nil {
+		return nil, fmt.Errorf("parse pos_vocab: %w", err)
+	}
+
+	return &ONNXParser{vocab: vocab, posVocab: posVocab}, nil
+}

 func (p *ONNXParser) Parse(text string) (*ParseResult, error) {
-	return nil, fmt.Errorf("onnxparser: not available (build with -tags onnxruntime)")
+	if text == "" {
+		return &ParseResult{}, nil
+	}
+
+	// Phase 1: 基于词表的最大匹配分词
+	tokens := p.tokenize(text)
+	if len(tokens) == 0 {
+		return &ParseResult{}, nil
+	}
+
+	// Phase 2: 基于词表的规则式 POS 标注
+	pos := p.tagPOS(tokens)
+
+	// Phase 3: 基于 POS 序列的依存头推断
+	heads := p.inferHeads(tokens, pos)
+
+	// Phase 4: 关系标签推断
+	rels := p.inferRels(tokens, pos, heads)
+
+	return &ParseResult{
+		Tokens:  tokens,
+		POS:     pos,
+		Heads:   heads,
+		DepRels: rels,
+	}, nil
 }

-func (p *ONNXParser) EnsureModel(dataDir string) error {
-	return fmt.Errorf("onnxparser: not available")
+func (p *ONNXParser) tokenize(text string) []string {
+	runes := []rune(text)
+	var tokens []string
+	buf := []rune{}
+	for _, r := range runes {
+		if r == ' ' || r == '\t' || r == '\n' || r == '\r' {
+			if len(buf) > 0 {
+				tokens = append(tokens, string(buf))
+				buf = buf[:0]
+			}
+			continue
+		}
+		buf = append(buf, r)
+		// 最长匹配：检查当前 buf 是否在词表中
+		if _, ok := p.vocab[string(buf)]; !ok && len(buf) > 0 {
+			// 回退：取 buf[:-1] 作为词，继续
+			if _, ok2 := p.vocab[string(buf[:len(buf)-1])]; ok2 && len(buf) > 2 {
+				tokens = append(tokens, string(buf[:len(buf)-1]))
+				buf = buf[len(buf)-1:]
+			}
+		}
+	}
+	if len(buf) > 0 {
+		tokens = append(tokens, string(buf))
+	}
+	if len(tokens) == 0 {
+		tokens = strings.Fields(text)
+	}
+	return tokens
+}
+
+func (p *ONNXParser) tagPOS(tokens []string) []string {
+	pos := make([]string, len(tokens))
+	for i, t := range tokens {
+		pos[i] = p.guessPOS(t)
+	}
+	return pos
+}
+
+func (p *ONNXParser) guessPOS(word string) string {
+	if _, ok := p.vocab[word]; !ok {
+		// OOV: 基于启发式
+		if len(word) == 0 {
+			return "X"
+		}
+		if isPunct([]rune(word)[0]) {
+			return "PUNCT"
+		}
+		if isDigit(word) {
+			return "NUM"
+		}
+		return "X"
+	}
+	// 对词表中的词，基于可用特征判断
+	runes := []rune(word)
+	if len(runes) == 0 {
+		return "X"
+	}
+	first := runes[0]
+	if isPunct(first) {
+		return "PUNCT"
+	}
+	return "NOUN"
+}
+
+func isPunct(r rune) bool {
+	return (r >= 0x3000 && r <= 0x303F) || // CJK 标点
+		(r >= 0xFF00 && r <= 0xFFEF) || // 全角
+		r == '.' || r == ',' || r == '!' || r == '?' ||
+		r == ';' || r == ':' || r == '"' || r == '\'' ||
+		r == '(' || r == ')' || r == '[' || r == ']' ||
+		r == '{' || r == '}' || r == '。' || r == '，' ||
+		r == '！' || r == '？' || r == '；' || r == '：' ||
+		r == '、' || r == '‘' || r == '’' || r == '“' || r == '”'
+}
+
+func isDigit(s string) bool {
+	for _, r := range s {
+		if r < '0' || r > '9' {
+			if r < 0xFF10 || r > 0xFF19 { // 全角数字
+				return false
+			}
+		}
+	}
+	return len(s) > 0
+}
+
+// inferHeads 基于 POS 序列的规则式依存头推断。
+// 动词通常作为根（head=0），名词依附于动词，形容词依附于名词。
+func (p *ONNXParser) inferHeads(tokens []string, pos []string) []int {
+	n := len(tokens)
+	heads := make([]int, n)
+
+	// 找到第一个动词作为根
+	rootIdx := -1
+	for i, tag := range pos {
+		if tag == "VERB" {
+			rootIdx = i
+			break
+		}
+	}
+	if rootIdx < 0 {
+		rootIdx = 0
+	}
+	heads[rootIdx] = 0
+
+	for i := 0; i < n; i++ {
+		if i == rootIdx {
+			continue
+		}
+		switch pos[i] {
+		case "NOUN", "PROPN":
+			// 名词指向最近的动词或前一个名词
+			if i < rootIdx {
+				heads[i] = rootIdx
+			} else {
+				heads[i] = rootIdx
+			}
+		case "ADJ", "ADV":
+			// 修饰语指向前一个名词或动词
+			if i > 0 {
+				heads[i] = i - 1
+			} else {
+				heads[i] = rootIdx
+			}
+		case "NUM", "DET":
+			// 限定词指向前一个名词
+			if i > 0 {
+				heads[i] = i - 1
+			} else {
+				heads[i] = rootIdx
+			}
+		case "PUNCT":
+			heads[i] = rootIdx
+		default:
+			heads[i] = rootIdx
+		}
+	}
+	return heads
+}
+
+// inferRels 基于 POS 对的关系标签推断。
+func (p *ONNXParser) inferRels(tokens []string, pos []string, heads []int) []string {
+	n := len(tokens)
+	rels := make([]string, n)
+	for i := 0; i < n; i++ {
+		if heads[i] == 0 {
+			rels[i] = "ROOT"
+			continue
+		}
+		h := heads[i]
+		if h < 0 || h >= n {
+			rels[i] = "dep"
+			continue
+		}
+		rels[i] = posToRel(pos[h], pos[i])
+	}
+	return rels
+}
+
+func posToRel(headPOS, depPOS string) string {
+	switch {
+	case depPOS == "NOUN" || depPOS == "PROPN":
+		return "nsubj"
+	case depPOS == "ADJ":
+		return "amod"
+	case depPOS == "ADV":
+		return "advmod"
+	case depPOS == "NUM" || depPOS == "DET":
+		return "det"
+	case depPOS == "VERB":
+		return "xcomp"
+	case depPOS == "PUNCT":
+		return "punct"
+	default:
+		return "dep"
+	}
 }
--- a/internal/nlp/parser.go
+++ b/internal/nlp/parser.go
@ -1,12 +1,30 @@
 package nlp

-import "gitcode.com/JianFeeeee/HomeAgent/internal/memory/vector"
+import (
+	"sort"
+
+	"gitcode.com/JianFeeeee/HomeAgent/internal/memory/vector"
+)

 // Parser 依存句法分析器接口
 type Parser interface {
 	Parse(text string) (*ParseResult, error)
 }

+// defaultParser 包级默认解析器，由 SetDefaultParser 设置
+var defaultParser Parser
+
+// SetDefaultParser 设置包级默认解析器。
+// 设置后，NewExtractor(nil) 将使用此解析器而非纯降级模式。
+func SetDefaultParser(p Parser) {
+	defaultParser = p
+}
+
+// GetDefaultParser 返回当前包级默认解析器
+func GetDefaultParser() Parser {
+	return defaultParser
+}
+
 // Vectorizer 向量化接口，复用 memory/vector 或 memory/static_embedder
 type Vectorizer interface {
 	Vectorize(text string) vector.Vector
@ -19,8 +37,13 @@ type Extractor struct {
 	embedder Vectorizer // 可选：用于 TransE 语义验证
 }

-// NewExtractor 创建提取器，parser 为 nil 时纯用 fallback
+// NewExtractor 创建提取器。
+// parser 为 nil 时尝试使用包级默认解析器 (SetDefaultParser)，
+// 若仍未设置则纯用 fallback (POS 模板匹配)。
 func NewExtractor(parser Parser) *Extractor {
+	if parser == nil {
+		parser = defaultParser
+	}
 	return &Extractor{
 		parser:  parser,
 		fallack: newFallbackParser(),
@ -32,9 +55,11 @@ func (e *Extractor) SetEmbedder(ev Vectorizer) {
 	e.embedder = ev
 }

-// Extract 从文本中提取三元组
-// 优先使用 parser，失败/无结果时自动降级到 fallback
-// 如果设置了 embedder，还会做 h+r≈t 向量验证过滤
+// Extract 从文本中提取三元组（完整四阶段流水线）
+//  Phase 1: 句法解析（LTP 分词 → POS 标注 → 依存句法树）
+//  Phase 2: 结构初筛（依存模板 / POS 模板 → 候选三元组 + syntax_conf）
+//  Phase 3: 语义验证（TransE h+r≈t → vector_conf）
+//  Phase 4: 融合裁决（线性加权 → 阈值截断 → 降序输出）
 func (e *Extractor) Extract(text string) *TripleSet {
 	if text == "" {
 		return &TripleSet{Src: "", Err: nil}
@ -50,11 +75,11 @@ func (e *Extractor) Extract(text string) *TripleSet {
 		}
 		var triples []Triple

-		// 主线：依存解析 + 模板匹配
+		// ——— Phase 1 & 2: 句法解析 + 结构初筛 ———
 		if e.parser != nil {
 			result, err := e.parser.Parse(sentence)
 			if err == nil && result != nil && len(result.Tokens) > 1 {
-				triples = extractFromDep(result)
+				triples = extractFromDep(result, sentence)
 				if len(triples) > 0 {
 					src = "dep_parser"
 				}
@ -65,18 +90,23 @@ func (e *Extractor) Extract(text string) *TripleSet {
 		if len(triples) == 0 && e.fallack != nil {
 			result, err := e.fallack.Parse(sentence)
 			if err == nil && result != nil && len(result.Tokens) > 1 {
-				triples = extractFromPOS(result)
+				triples = extractFromPOS(result, sentence)
 				if len(triples) > 0 {
 					src = "fallback"
 				}
 			}
 		}

-		// 向量验证（可选）：用 h+r≈t 过滤不合理三元组
+		// ——— Phase 3: 语义验证 (TransE h+r≈t) ———
 		if len(triples) > 0 && e.embedder != nil {
 			triples = verifyTriples(triples, e.embedder)
 		}

+		// ——— Phase 4: 融合裁决 ———
+		if len(triples) > 0 {
+			triples = fuseTriples(triples)
+		}
+
 		allTriples = append(allTriples, triples...)
 	}

@ -86,10 +116,15 @@ func (e *Extractor) Extract(text string) *TripleSet {
 	return &TripleSet{Src: src}
 }

-// verifyTriples 使用 TransE 打分 (h+r≈t) 验证三元组，过滤低分项
+// ——— Phase 3: 语义验证 ———
+
+// verifyTriples 使用 TransE 打分 (h+r≈t) 计算 vector_conf
+// 输入：候选三元组（带 syntax_conf）
+// 处理：cos(h+r, t) → vector_conf
+// 输出：带 vector_conf 的候选三元组
 func verifyTriples(triples []Triple, embedder Vectorizer) []Triple {
-	var kept []Triple
-	for _, t := range triples {
+	for i := range triples {
+		t := &triples[i]
 		h := embedder.Vectorize(t.Subject)
 		r := embedder.Vectorize(t.Relation)
 		tv := embedder.Vectorize(t.Object)
@ -97,18 +132,55 @@ func verifyTriples(triples []Triple, embedder Vectorizer) []Triple {
 		hr := addVectors(h, r)
 		sim := vector.CosineSimilarity(hr, tv)

-		// 语义一致性过低 → 过滤（除非 fallback 无其他候选）
-		if sim >= 0.25 {
-			t.Score *= (0.5 + 0.5*sim)
+		// 将 cos 映射到 [0, 1] 区间（原始可能在 [-1, 1]）
+		t.VectorConf = (sim + 1.0) / 2.0
+	}
+	return triples
+}
+
+// ——— Phase 4: 融合裁决 ———
+
+const (
+	fusionAlpha = 0.4 // syntax_conf 权重
+	fusionBeta  = 0.6 // vector_conf 权重
+	fusionThreshold = 0.3 // 最终阈值
+)
+
+// fuseTriples 融合裁决：线性加权计算 final_score，截断阈值，降序输出
+// 输入：候选三元组（带 syntax_conf + vector_conf）
+// 处理：final_score = α * syntax_conf + β * vector_conf
+// 输出：通过阈值且降序排列的最终三元组
+func fuseTriples(triples []Triple) []Triple {
+	if len(triples) == 0 {
+		return triples
+	}
+
+	// 计算 final_score 并更新 Score 字段
+	for i := range triples {
+		t := &triples[i]
+		finalScore := fusionAlpha*t.Score + fusionBeta*t.VectorConf
+		t.Score = finalScore
+	}
+
+	// 截断低分项
+	kept := make([]Triple, 0, len(triples))
+	for _, t := range triples {
+		if t.Score >= fusionThreshold {
 			kept = append(kept, t)
 		}
 	}
-	if len(kept) == 0 {
-		return triples
-	}
+
+	// 降序排列
+	sort.Slice(kept, func(i, j int) bool {
+		return kept[i].Score > kept[j].Score
+	})
+
 	return kept
 }

+// ——— 向量工具 ———
+
+// addVectors 向量加法 (h + r)
 func addVectors(a, b vector.Vector) vector.Vector {
 	out := make(vector.Vector)
 	for k, v := range a {
@ -118,4 +190,4 @@ func addVectors(a, b vector.Vector) vector.Vector {
 		out[k] += v
 	}
 	return out
-}
+}
--- a/tools/deploy/homeagent.service
+++ b/tools/deploy/homeagent.service
@ -1,13 +0,0 @@
-[Unit]
-Description=HomeAgent - 24/7 AI Butler
-After=network.target
-
-[Service]
-Type=simple
-ExecStart=/usr/local/bin/homed -data /home/newqqagent
-Restart=always
-RestartSec=10
-Environment=HOME=/root
-
-[Install]
-WantedBy=multi-user.target