Version: 0.9.22.dev.260416

后端：
1. 品牌文案与聊天定位统一切到 SmartMate，并放宽非排程问答能力
   - 系统人设、路由、排程、查询、交付提示统一从 SmartFlow 改为 SmartMate
   - 明确普通问答/生活建议/开放讨论可正常回答，deep_answer 不再输出“让我想想”等占位话术
   - thinkingMode=auto 时，deep_answer 默认开启 thinking，execute 继续跟随路由决策，其余路由默认关闭
2. Memory 读取链路升级为“结构化强约束 + 语义候选”hybrid 模式，并补齐注入渲染 / Execute 消费
   - 新增 read.mode、四类记忆预算、inject.renderMode 等配置及默认值
   - 落地 HybridRetrieve，统一 MySQL/RAG 读侧作用域、三级去重（ID/hash/text）、统一重排与按类型预算裁剪
   - 新增 FindPinnedByUser、content_hash DTO/兜底补算、legacy/RAG 共用读侧查询口径与 fallback 逻辑
   - 记忆注入支持 flat/typed_v2 两种渲染，execute msg3 正式消费 memory_context，主链路注入 MemoryReader 时同步透传 memory 配置
3. Memory 第二步/第三步 handoff 与治理文档补齐
   - HANDOFF_Memory向Mem0靠拢三步冲刺计划.md 从 newAgent 迁到 memory 目录，并补充“我的记忆”增删改查与最小留痕口径
   - 新增 backend/memory/记忆模块第二步计划.md、backend/memory/第三步治理与观测落地计划.md，分别拆解 hybrid 读取注入闭环与治理/观测/清理路线
   - 同步更新 backend/memory/Log.txt 调试日志
前端：
1. 助手输入区新增“智能编排”任务类选择器，并把 task_class_ids 作为请求 extra 透传
   - 新建 frontend/src/components/assistant/TaskClassPlanningPicker.vue，支持拉取任务类列表、临时勾选、已选标签回显与清空
   - 更新 frontend/src/components/dashboard/AssistantPanel.vue、frontend/src/types/dashboard.ts：Chat extra 正式建模 task_class_ids / retry 字段；当本轮带编排任务类时强制新起会话，避免把现有会话历史误混入新编排
2. 会话上下文窗口统计接入前端展示
   - 更新 frontend/src/api/agent.ts、新建 frontend/src/components/assistant/ContextWindowMeter.vue、更新 frontend/src/components/dashboard/AssistantPanel.vue、frontend/src/types/dashboard.ts：接入 /agent/context-stats，兼容 object/string/null 三种返回；在输入工具栏展示 msg0~msg3 占比与预算使用率
3. 助手面板交互细节优化
   - 更新 frontend/src/components/dashboard/AssistantPanel.vue：thinking 开关改为 auto/true/false 三态选择；切会话与重试后同步刷新 context stats；历史列表首屏不足时自动继续分页直到形成滚动区
仓库：无

backend/service/agentsvc/agent.go

@@ -15,6 +15,7 @@ import (
 	"github.com/LoveLosita/smartflow/backend/dao"
 	outboxinfra "github.com/LoveLosita/smartflow/backend/infra/outbox"
 	"github.com/LoveLosita/smartflow/backend/inits"
+	memorymodel "github.com/LoveLosita/smartflow/backend/memory/model"
 	"github.com/LoveLosita/smartflow/backend/model"
 	newagentmodel "github.com/LoveLosita/smartflow/backend/newAgent/model"
 	newagenttools "github.com/LoveLosita/smartflow/backend/newAgent/tools"
@@ -58,6 +59,7 @@ type AgentService struct {
 	agentStateStore   newagentmodel.AgentStateStore
 	compactionStore   newagentmodel.CompactionStore
 	memoryReader      MemoryReader
+	memoryCfg         memorymodel.Config
 }
 
 // NewAgentService 构造 AgentService。

backend/service/agentsvc/agent_memory.go

@@ -2,7 +2,6 @@ package agentsvc
 
 import (
 	"context"
-	"fmt"
 	"log"
 	"strings"
 	"time"
@@ -28,9 +27,10 @@ type MemoryReader interface {
 	Retrieve(ctx context.Context, req memorymodel.RetrieveRequest) ([]memorymodel.ItemDTO, error)
 }
 
-// SetMemoryReader 注入 newAgent 主链路读取记忆所需的薄接口。
-func (s *AgentService) SetMemoryReader(reader MemoryReader) {
+// SetMemoryReader 注入 newAgent 主链路读取记忆所需的薄接口与渲染配置。
+func (s *AgentService) SetMemoryReader(reader MemoryReader, cfg memorymodel.Config) {
 	s.memoryReader = reader
+	s.memoryCfg = cfg
 }
 
 // injectMemoryContext 在 graph 执行前，把本轮相关记忆写入 ConversationContext 的 pinned block。
@@ -68,7 +68,7 @@ func (s *AgentService) injectMemoryContext(
 		return
 	}
 
-	content := renderMemoryPinnedContent(items)
+	content := renderMemoryPinnedContentByMode(items, s.memoryCfg.EffectiveInjectRenderMode())
 	if content == "" {
 		conversationContext.RemovePinnedBlock(newAgentMemoryBlockKey)
 		return
@@ -100,62 +100,3 @@ func shouldInjectMemoryForInput(userMessage string) bool {
 		return true
 	}
 }
-
-// renderMemoryPinnedContent 把召回结果转成一段稳定、紧凑、适合 prompt 注入的自然语言文本。
-func renderMemoryPinnedContent(items []memorymodel.ItemDTO) string {
-	if len(items) == 0 {
-		return ""
-	}
-
-	var sb strings.Builder
-	sb.WriteString(newAgentMemoryIntroLine)
-
-	seen := make(map[string]struct{}, len(items))
-	written := 0
-	for _, item := range items {
-		line := buildMemoryPinnedLine(item)
-		if line == "" {
-			continue
-		}
-		if _, exists := seen[line]; exists {
-			continue
-		}
-		seen[line] = struct{}{}
-		sb.WriteString("\n- ")
-		sb.WriteString(line)
-		written++
-	}
-
-	if written == 0 {
-		return ""
-	}
-	return strings.TrimSpace(sb.String())
-}
-
-// buildMemoryPinnedLine 把单条记忆渲染成“[类型] 内容”的简洁格式。
-func buildMemoryPinnedLine(item memorymodel.ItemDTO) string {
-	text := strings.TrimSpace(item.Content)
-	if text == "" {
-		text = strings.TrimSpace(item.Title)
-	}
-	if text == "" {
-		return ""
-	}
-	return fmt.Sprintf("[%s] %s", localizeMemoryType(item.MemoryType), text)
-}
-
-// localizeMemoryType 把 memory 类型映射成 prompt 里更自然的中文标签。
-func localizeMemoryType(memoryType string) string {
-	switch strings.TrimSpace(memoryType) {
-	case memorymodel.MemoryTypePreference:
-		return "偏好"
-	case memorymodel.MemoryTypeConstraint:
-		return "约束"
-	case memorymodel.MemoryTypeTodoHint:
-		return "待办线索"
-	case memorymodel.MemoryTypeFact:
-		return "事实"
-	default:
-		return "记忆"
-	}
-}

backend/service/agentsvc/agent_memory_render.go

@@ -0,0 +1,159 @@
+package agentsvc
+
+import (
+	"fmt"
+	"strings"
+
+	memorymodel "github.com/LoveLosita/smartflow/backend/memory/model"
+)
+
+// renderMemoryPinnedContentByMode 根据配置选择记忆渲染方式。
+func renderMemoryPinnedContentByMode(items []memorymodel.ItemDTO, renderMode string) string {
+	switch memorymodel.NormalizeInjectRenderMode(renderMode) {
+	case memorymodel.MemoryInjectRenderModeTypedV2:
+		return RenderTypedMemoryContent(items)
+	default:
+		return RenderFlatMemoryContent(items)
+	}
+}
+
+// RenderFlatMemoryContent 生成兼容旧链路的扁平记忆文本。
+func RenderFlatMemoryContent(items []memorymodel.ItemDTO) string {
+	if len(items) == 0 {
+		return ""
+	}
+
+	var sb strings.Builder
+	sb.WriteString(newAgentMemoryIntroLine)
+
+	seen := make(map[string]struct{}, len(items))
+	written := 0
+	for _, item := range items {
+		line := buildMemoryPinnedLine(item)
+		if line == "" {
+			continue
+		}
+		if _, exists := seen[line]; exists {
+			continue
+		}
+		seen[line] = struct{}{}
+		sb.WriteString("\n- ")
+		sb.WriteString(line)
+		written++
+	}
+
+	if written == 0 {
+		return ""
+	}
+	return strings.TrimSpace(sb.String())
+}
+
+// RenderTypedMemoryContent 按记忆类型分段渲染。
+//
+// 步骤化说明：
+// 1. 先按固定类型顺序分组，避免同类记忆在 prompt 中被打散；
+// 2. 每组内部继续做文本级去重，兜底保护历史脏数据；
+// 3. 只输出非空分组，减少 Execute / Plan 阶段的无效噪音。
+func RenderTypedMemoryContent(items []memorymodel.ItemDTO) string {
+	if len(items) == 0 {
+		return ""
+	}
+
+	type renderSection struct {
+		Title string
+		Items []string
+	}
+	orderedTypes := []string{
+		memorymodel.MemoryTypeConstraint,
+		memorymodel.MemoryTypePreference,
+		memorymodel.MemoryTypeFact,
+		memorymodel.MemoryTypeTodoHint,
+	}
+	sectionTitle := map[string]string{
+		memorymodel.MemoryTypeConstraint: "必守约束",
+		memorymodel.MemoryTypePreference: "用户偏好",
+		memorymodel.MemoryTypeFact:       "当前话题相关事实",
+		memorymodel.MemoryTypeTodoHint:   "近期待办",
+	}
+
+	grouped := make(map[string][]string, len(orderedTypes))
+	seen := make(map[string]struct{}, len(items))
+	for _, item := range items {
+		content := buildMemoryRenderContent(item)
+		if content == "" {
+			continue
+		}
+		dedupKey := strings.TrimSpace(item.MemoryType) + "::" + content
+		if _, exists := seen[dedupKey]; exists {
+			continue
+		}
+		seen[dedupKey] = struct{}{}
+
+		memoryType := memorymodel.NormalizeMemoryType(item.MemoryType)
+		if memoryType == "" {
+			memoryType = memorymodel.MemoryTypeFact
+		}
+		grouped[memoryType] = append(grouped[memoryType], content)
+	}
+
+	sections := make([]renderSection, 0, len(orderedTypes))
+	for _, memoryType := range orderedTypes {
+		contentList := grouped[memoryType]
+		if len(contentList) == 0 {
+			continue
+		}
+		sections = append(sections, renderSection{
+			Title: sectionTitle[memoryType],
+			Items: contentList,
+		})
+	}
+	if len(sections) == 0 {
+		return ""
+	}
+
+	var sb strings.Builder
+	sb.WriteString(newAgentMemoryIntroLine)
+	for _, section := range sections {
+		sb.WriteString("\n\n【")
+		sb.WriteString(section.Title)
+		sb.WriteString("】")
+		for _, line := range section.Items {
+			sb.WriteString("\n- ")
+			sb.WriteString(line)
+		}
+	}
+	return strings.TrimSpace(sb.String())
+}
+
+// buildMemoryPinnedLine 把单条记忆渲染成“[类型] 内容”的简洁格式。
+func buildMemoryPinnedLine(item memorymodel.ItemDTO) string {
+	text := buildMemoryRenderContent(item)
+	if text == "" {
+		return ""
+	}
+	return fmt.Sprintf("[%s] %s", localizeMemoryType(item.MemoryType), text)
+}
+
+func buildMemoryRenderContent(item memorymodel.ItemDTO) string {
+	text := strings.TrimSpace(item.Content)
+	if text == "" {
+		text = strings.TrimSpace(item.Title)
+	}
+	return text
+}
+
+// localizeMemoryType 把 memory 类型映射成 prompt 里更自然的中文标签。
+func localizeMemoryType(memoryType string) string {
+	switch strings.TrimSpace(memoryType) {
+	case memorymodel.MemoryTypePreference:
+		return "偏好"
+	case memorymodel.MemoryTypeConstraint:
+		return "约束"
+	case memorymodel.MemoryTypeTodoHint:
+		return "待办线索"
+	case memorymodel.MemoryTypeFact:
+		return "事实"
+	default:
+		return "记忆"
+	}
+}

backend/service/agentsvc/agent_meta.go

@@ -38,7 +38,7 @@ const (
 	conversationTitleTokenAdjustReason = "conversation_title_async"
 )
 
-const conversationTitlePrompt = `你是 SmartFlow 的会话标题生成器。
+const conversationTitlePrompt = `你是 SmartMate 的会话标题生成器。
 请基于给定对话内容，生成一个简短中文标题。
 
 要求：