fix(memory,loop): 记忆作用域读写成对 + source_conversation 结构化（裁决 1.9/04.4.2/04.4.3）

- 04.4.2/1.9 读侧：Retrieve 候选集并集 = 本人 persona 域 ∪ user 共享域 ∪ project 共享域（他角色 persona 域仍排除），群聊/陌生人取受限收窄
- 写侧：群聊/陌生人整段跳过记忆提取（可查不可写），persona 域仅属主可写
- 04.4.3：source_conversation 不再由 LLM 自由生成（prompt 不索要、候选结构不含该键），落库时无条件盖真实 {session_id,message_id}，编解码集中在 memory/source.go
- 新增跨角色种子用例（原用例即使关掉并集也会通过）+ 成对用例「同群聊上下文：读得到共享域、写不进 store」
- 同步 store.go/retrieve.go 文档注释，与 design/03 §3/§4 口径一致

internal/runtime/loop/memory.go

@@ -31,10 +31,11 @@ type asyncExtractor interface {
 // 它原样返回输入消息。
 //
 // ctx 上的会话环境为检索设门：owner 全权限环境保留完整
-// 召回（行为不变）；受限环境（群聊 / 陌生人，
-// design/02 §3, design/11 §2）是只读隔离 —— 只注入
-// 非主人私有的项目记忆，使主人敏感记忆不泄露给群聊或
-// 陌生人。
+// 召回（行为不变；候选集已并入 user/project 共享域，
+// design/03 §4）；受限环境（群聊 / 陌生人，
+// design/02 §3, design/11 §2, design/03 §5）是只读隔离 ——
+// 只注入非敏感的共享记忆（用户习惯 + 项目），主人私有的
+// 角色日常记忆绝不泄露给群聊或陌生人。
 func (l *Loop) injectMemory(ctx context.Context, messages []model.Message) []model.Message {
 	block := l.memoryBlock(ctx, messages)
 	if block == "" {
@@ -66,10 +67,14 @@ func (l *Loop) memoryBlock(ctx context.Context, messages []model.Message) string
 }
 
 // retrieveMemoryBlock 返回 env 与该 turn 角色的记忆注入块。
-// owner 全权限环境保持既有的 Inject 行为。受限
-// 环境（群聊 / 陌生人）只注入项目作用域记忆（人人可读，
-// 非主人私有），并把该块标记为群聊隔离，使调用方能区分
-// 隔离读取与主人的完整读取。
+// owner 全权限环境保持既有的 Inject 行为（候选集已并入
+// user/project 共享域）。受限环境（群聊 / 陌生人）只注入
+// 非敏感的共享域记忆 —— 用户习惯（ScopeUser）与项目记忆
+// （ScopeProject，人人可读）—— 并把该块标记为群聊隔离，
+// 使调用方能区分隔离读取与主人的完整读取；主人私有的
+// 角色日常记忆（ScopePersona）属敏感项，绝不注入
+// （design/03 §5「不泄露主人敏感信息」+ 主人 2026-10-03
+// 裁决「用户习惯记忆与不敏感数据：可查、不可写」）。
 func (l *Loop) retrieveMemoryBlock(ctx context.Context, env SessionEnv, personaID, query string) (string, error) {
 	if !env.Restricted() {
 		return l.retriever.Inject(ctx, personaID, query, 0)
@@ -80,7 +85,7 @@ func (l *Loop) retrieveMemoryBlock(ctx context.Context, env SessionEnv, personaI
 	}
 	shared := make([]memory.Result, 0, len(results))
 	for _, r := range results {
-		if r.Item.Scope == memory.ScopeProject {
+		if sharedScope(r.Item.Scope) {
 			shared = append(shared, r)
 		}
 	}
@@ -90,6 +95,14 @@ func (l *Loop) retrieveMemoryBlock(ctx context.Context, env SessionEnv, personaI
 	return formatMemoryBlock(shared, "群聊隔离"), nil
 }
 
+// sharedScope 报告 scope 是否为群聊/陌生人可查的非敏感共享域：
+// 用户习惯（user，全局共享）与项目记忆（project，人人可读）。
+// 角色日常（persona）是主人私有的敏感项，不在其列
+// （design/03 §3/§5 的敏感度划分即作用域本身）。
+func sharedScope(s memory.Scope) bool {
+	return s == memory.ScopeUser || s == memory.ScopeProject
+}
+
 // formatMemoryBlock 由检索结果构建前导系统块。非空
 // marker 作为该块的前缀，使隔离的群聊读取可与
 // 主人的完整读取区分开。
@@ -257,14 +270,22 @@ func (l *Loop) extractMemoryAsync(ctx context.Context, messages []model.Message,
 // extractor 刻意不感知角色（它不再持有一个在构造期
 // 内嵌的人格，cmd/cyrene/extractor.go），否则多角色
 // 进程会把每条记忆都归到一个角色下。角色为空（完全未配置
-// persona）时条目保持 extractor 产出时的样子。store
+// persona）时条目保持 extractor 产出时的样子。
+//
+// 溯源同样在此盖真实 id（裁决 04.4.3，design/03 §2）：
+// source_conversation 由本持久化点从运行上下文取 Run 的
+// session id 与 gateway 挂载的 turn id 结构化编码
+// （memory.FormatSourceConversation），无条件覆盖 extractor
+// 产出值 —— 模型自由文本绝无机会落库为来源。store
 // 失败会被记录日志，绝不致命，因此一条被拒的条目无法中止一个 turn。
 func (l *Loop) persistMemories(ctx context.Context, items []memory.MemoryItem, step int) {
 	personaID := l.personaFor(ctx)
+	source := memory.FormatSourceConversation(loopSession(ctx), loopTurn(ctx))
 	for _, it := range items {
 		if personaID != "" {
 			it.PersonaID = personaID
 		}
+		it.SourceConversation = source
 		if _, err := l.memory.Add(ctx, it); err != nil {
 			l.log.Warn("memory store", "step", step, "error", err)
 		}

internal/runtime/loop/memory_async_test.go

@@ -100,6 +100,12 @@ func TestExtractMemoryAsync_LLMExtractorThroughLoop(t *testing.T) {
 	if items[0].PersonaID != "persona-a" {
 		t.Fatalf("item persona = %q, want persona-a", items[0].PersonaID)
 	}
+	// 裁决 04.4.3：真实 LLM 提取路径的溯源由持久化层盖 —— Run 的
+	// 会话 id 结构化落库（该测试未挂 turn id，故 message_id 为空）。
+	ref, ok := memory.ParseSourceConversation(items[0].SourceConversation)
+	if !ok || ref.SessionID != "sess" || ref.MessageID != "" {
+		t.Fatalf("source = %q → %+v(ok=%v), want structured session sess / empty message", items[0].SourceConversation, ref, ok)
+	}
 
 	extractCalls := 0
 	for _, req := range ad.reqs {

internal/runtime/loop/memory_gating_test.go

@@ -27,6 +27,25 @@ func seedMemories(t *testing.T, store *memory.Store) {
 	}
 }
 
+// seedCrossRoleMemories 写入跨角色的共享域与主人私有记忆各一批：
+// 另一个角色（persona-b）写用户习惯 + 项目记忆（共享域，design/03 §3/§4
+// 对所有角色可读），persona-a 写自己的角色日常（敏感项，仅属主可读）。
+// 用于验证读取域的并集真的含他角色写入的共享项，且敏感项不外泄
+// （裁决 1.9/04.4.2）。
+func seedCrossRoleMemories(t *testing.T, store *memory.Store) {
+	t.Helper()
+	seeds := []memory.MemoryItem{
+		{PersonaID: "persona-b", Content: "用户习惯：喜欢冰美式", Scope: memory.ScopeUser, Kind: memory.KindRelationship},
+		{PersonaID: "persona-b", Content: "项目记忆：Cyrene 用 Go 编写", Scope: memory.ScopeProject, Kind: memory.KindWorldEvent},
+		{PersonaID: "persona-a", Content: "角色日常：周末喜欢爬山", Scope: memory.ScopePersona, Kind: memory.KindRelationship},
+	}
+	for _, it := range seeds {
+		if _, err := store.Add(context.Background(), it); err != nil {
+			t.Fatalf("seed memory: %v", err)
+		}
+	}
+}
+
 // TestInjectMemory_OwnerEnv_InjectsAllScopes 证明 owner 全权限环境保持
 // 既有的完整召回：用户、角色与项目记忆都被注入。
 func TestInjectMemory_OwnerEnv_InjectsAllScopes(t *testing.T) {
@@ -49,41 +68,73 @@ func TestInjectMemory_OwnerEnv_InjectsAllScopes(t *testing.T) {
 	}
 }
 
-// TestInjectMemory_RestrictedEnv_OnlyProject 证明群聊/陌生人环境是
-// 只读隔离：只注入非主人私有的项目记忆，
-// 主人的用户/角色记忆被排除，且该块被标记为 群聊隔离。
-func TestInjectMemory_RestrictedEnv_OnlyProject(t *testing.T) {
+// TestInjectMemory_RestrictedEnv_NonSensitiveOnly 证明群聊/陌生人环境是
+// 只读的非敏感召回（裁决 1.9/04.4.2，design/03 §3/§4/§5）：共享域由
+// **别的角色**（persona-b）写入，本角色（persona-a）的群聊上下文依然
+// 能查到用户习惯与项目记忆 —— 这正是读取域并集生效之处；主人私有的
+// 角色日常记忆（ScopePersona，敏感项）被排除，且该块被标记为 群聊隔离。
+func TestInjectMemory_RestrictedEnv_NonSensitiveOnly(t *testing.T) {
 	t.Parallel()
 	store := newTestMemoryStore(t)
-	seedMemories(t, store)
+	seedCrossRoleMemories(t, store)
 	l := New(Options{Retriever: memory.NewRetriever(store), PersonaID: "persona-a"})
 
 	msgs := []model.Message{model.TextMessage(model.RoleUser, "go")}
 	ctx := WithSessionEnv(context.Background(), SessionEnv{ActorEnv: restrict.ActorGroupMember, MemWritable: false})
 	view := l.assembleContext(ctx, msgs, 1)
 	if len(view) != 2 {
-		t.Fatalf("restricted view = %d messages, want 2 (project memory injected)", len(view))
+		t.Fatalf("restricted view = %d messages, want 2 (non-sensitive memory injected)", len(view))
 	}
 	block := messageText(view[0])
-	if !strings.Contains(block, "群聊隔离") || !strings.Contains(block, "Cyrene 用 Go 编写") {
-		t.Fatalf("restricted block missing project memory / marker:\n%s", block)
+	// 非敏感项：他角色写的用户习惯 + 项目记忆 —— 可查（design/03 §3/§5）。
+	if !strings.Contains(block, "群聊隔离") || !strings.Contains(block, "喜欢冰美式") || !strings.Contains(block, "Cyrene 用 Go 编写") {
+		t.Fatalf("restricted block missing non-sensitive memory / marker:\n%s", block)
 	}
-	for _, banned := range []string{"喜欢冰美式", "喜欢爬山"} {
-		if strings.Contains(block, banned) {
-			t.Fatalf("restricted block leaked owner memory %q:\n%s", banned, block)
-		}
+	// 敏感项：本角色私有的角色日常 —— 绝不注入。
+	if strings.Contains(block, "喜欢爬山") {
+		t.Fatalf("restricted block leaked owner-sensitive memory %q:\n%s", "喜欢爬山", block)
 	}
 }
 
-// TestInjectMemory_Restricted_NoProjectMemory_NoInject 证明当群聊
-// 或陌生人上下文没有非主人私有（项目）记忆时，什么也不
-// 注入 —— 该对话不会用主人的上下文来播种。
-func TestInjectMemory_Restricted_NoProjectMemory_NoInject(t *testing.T) {
+// TestGroupChat_SharedReadable_WriteRejected 证明裁决 1.9/04.4.2 的
+// 「可查不可写」在同一群聊上下文里成对生效：共享域记忆被注入（可查），
+// 而同一次提取的写入被拒（store 一行都不新增）。
+func TestGroupChat_SharedReadable_WriteRejected(t *testing.T) {
 	t.Parallel()
 	store := newTestMemoryStore(t)
-	// 只存在主人私有（用户/角色）记忆。
+	seedCrossRoleMemories(t, store)
+	l := New(Options{
+		Retriever: memory.NewRetriever(store),
+		Memory:    store,
+		Extractor: memory.NewManualExtractor("persona-a", "owner"),
+		PersonaID: "persona-a",
+	})
+
+	ctx := WithSessionEnv(context.Background(), SessionEnv{ActorEnv: restrict.ActorGroupMember, MemWritable: false})
+	block := l.memoryBlock(ctx, []model.Message{model.TextMessage(model.RoleUser, "go")})
+	if !strings.Contains(block, "群聊隔离") || !strings.Contains(block, "喜欢冰美式") {
+		t.Fatalf("group chat must read the shared domain:\n%s", block)
+	}
+
+	l.extractMemory(ctx, []model.Message{model.TextMessage(model.RoleUser, "记住 我真的爱喝冰美式")}, 1)
+	items, err := store.List(context.Background())
+	if err != nil {
+		t.Fatalf("list: %v", err)
+	}
+	if len(items) != 3 {
+		t.Fatalf("group chat wrote memory: %d rows, want 3 (writes must be rejected)", len(items))
+	}
+}
+
+// TestInjectMemory_Restricted_OnlySensitiveMemory_NoInject 证明当群聊
+// 或陌生人上下文只有主人私有（角色日常）记忆时，什么也不
+// 注入 —— 该对话不会用主人的敏感上下文来播种。
+func TestInjectMemory_Restricted_OnlySensitiveMemory_NoInject(t *testing.T) {
+	t.Parallel()
+	store := newTestMemoryStore(t)
+	// 只存在主人私有（角色日常）记忆。
 	for _, it := range []memory.MemoryItem{
-		{PersonaID: "persona-a", Content: "用户习惯：喜欢冰美式", Scope: memory.ScopeUser, Kind: memory.KindRelationship},
+		{PersonaID: "persona-a", Content: "角色日常：周末喜欢爬山", Scope: memory.ScopePersona, Kind: memory.KindRelationship},
 	} {
 		if _, err := store.Add(context.Background(), it); err != nil {
 			t.Fatalf("seed memory: %v", err)
@@ -95,7 +146,7 @@ func TestInjectMemory_Restricted_NoProjectMemory_NoInject(t *testing.T) {
 	ctx := WithSessionEnv(context.Background(), SessionEnv{ActorEnv: restrict.ActorStranger, MemWritable: false})
 	view := l.assembleContext(ctx, msgs, 1)
 	if len(view) != 1 {
-		t.Fatalf("restricted (no project) view = %d messages, want 1 (no injected memory)", len(view))
+		t.Fatalf("restricted (only sensitive) view = %d messages, want 1 (no injected memory)", len(view))
 	}
 }
 

internal/runtime/loop/memory_source_test.go

@@ -0,0 +1,67 @@
+package loop
+
+import (
+	"context"
+	"testing"
+
+	"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/memory"
+	"git.yeij.top/AskaEth/Cyrene_v2/internal/runtime/model"
+)
+
+// TestPersistMemories_StampsRealSource 证明裁决 04.4.3 的落库值：
+// 提取调用点（persistMemories）从运行上下文盖真实 session/message id，
+// extractor 产出的自由文本来源被无条件覆盖。
+func TestPersistMemories_StampsRealSource(t *testing.T) {
+	t.Parallel()
+	store := newTestMemoryStore(t)
+	l := New(Options{Memory: store, Extractor: memory.NewManualExtractor("persona-a", "owner"), PersonaID: "persona-a"})
+
+	// extractor 刻意夹带一条伪造来源，证明持久化层会盖掉它。
+	bogus := []memory.MemoryItem{{
+		PersonaID: "persona-a", Scope: memory.ScopeUser, Kind: memory.KindRelationship,
+		Content: "用户习惯：爱喝冰美式", SourceConversation: "模型瞎编的来源",
+	}}
+	ctx := withLoopSession(WithTurnID(WithSessionEnv(context.Background(), OwnerEnv()), "turn-1"), "web:abc")
+	l.persistMemories(ctx, bogus, 1)
+
+	items, err := store.ListByPersona(context.Background(), "persona-a")
+	if err != nil {
+		t.Fatalf("ListByPersona: %v", err)
+	}
+	if len(items) != 1 {
+		t.Fatalf("stored %d items, want 1", len(items))
+	}
+	ref, ok := memory.ParseSourceConversation(items[0].SourceConversation)
+	if !ok {
+		t.Fatalf("SourceConversation %q is not structured, want real ids", items[0].SourceConversation)
+	}
+	if ref.SessionID != "web:abc" || ref.MessageID != "turn-1" {
+		t.Fatalf("source ref = %+v, want session web:abc / message turn-1", ref)
+	}
+}
+
+// TestPersistMemories_SourceSessionOnly 证明未挂 turn id 的调用方
+// （渠道路径现状）溯源降级为仅会话粒度 —— 真实、可解析，不伪造。
+func TestPersistMemories_SourceSessionOnly(t *testing.T) {
+	t.Parallel()
+	store := newTestMemoryStore(t)
+	l := New(Options{Memory: store, Extractor: memory.NewManualExtractor("persona-a", "owner"), PersonaID: "persona-a"})
+
+	ctx := withLoopSession(WithSessionEnv(context.Background(), OwnerEnv()), "qq-obv11:group:42")
+	l.extractMemory(ctx, []model.Message{model.TextMessage(model.RoleUser, "记住 我爱喝冰美式")}, 1)
+
+	items, err := store.ListByPersona(context.Background(), "persona-a")
+	if err != nil {
+		t.Fatalf("ListByPersona: %v", err)
+	}
+	if len(items) != 1 {
+		t.Fatalf("stored %d items, want 1", len(items))
+	}
+	ref, ok := memory.ParseSourceConversation(items[0].SourceConversation)
+	if !ok {
+		t.Fatalf("SourceConversation %q is not structured", items[0].SourceConversation)
+	}
+	if ref.SessionID != "qq-obv11:group:42" || ref.MessageID != "" {
+		t.Fatalf("source ref = %+v, want session-only provenance", ref)
+	}
+}

internal/runtime/memory/llmextractor.go

@@ -12,15 +12,18 @@ import (
 
 // extractSystemPrompt tells the model.Adapter how to produce candidate memories:
 // a JSON array of objects, one per memory worth persisting. Format is locked so
-// parseCandidates can unmarshal it deterministically.
+// parseCandidates can unmarshal it deterministically. 溯源（source_conversation）
+// 刻意不在其中：它由持久化层盖真实 session/message id，绝不由模型生成
+// （裁决 04.4.3，见 source.go）。
 const extractSystemPrompt = `你是记忆提取器。从对话中提取值得长期记住的记忆项（用户偏好、习惯、约定、重要事件）。
 只输出一个 JSON 数组，不要任何其他文字。每个元素形如：
-{"content":"记忆内容","scope":"user|persona|project","kind":"relationship|world_event","tags":["标签"],"confidence":0.9,"project_id":"可选项目id","source_conversation":"溯源"}
+{"content":"记忆内容","scope":"user|persona|project","kind":"relationship|world_event","tags":["标签"],"confidence":0.9,"project_id":"可选项目id"}
 去噪去重：只保留值得长期记住的，忽略寒暄与临时信息。`
 
 // llmCandidate is the wire shape the extractor asks the LLM to emit: one JSON
 // object per candidate memory. Scope/Kind default to the extractor's configured
-// values when the model does not provide a valid one.
+// values when the model does not provide a valid one. 不含 source_conversation：
+// 模型即使回填该键也会被忽略（结构化溯源只来自持久化层）。
 type llmCandidate struct {
 	Content    string   `json:"content"`
 	Scope      string   `json:"scope"`
@@ -28,7 +31,6 @@ type llmCandidate struct {
 	Tags       []string `json:"tags"`
 	Confidence float64  `json:"confidence"`
 	ProjectID  string   `json:"project_id"`
-	Source     string   `json:"source_conversation"`
 }
 
 // LLMExtractor implements Extractor by asking a model.Adapter to derive candidate
@@ -180,7 +182,8 @@ func parseCandidates(s string) ([]llmCandidate, error) {
 // the turn's role (the loop) stamps the persona when it persists the item — and
 // rejecting the item here would silently drop every memory of a multi-role
 // process. Content/scope/kind, which only this package can judge, are still
-// enforced.
+// enforced. SourceConversation 同理刻意留空：由提取调用点（持久化层）
+// 盖真实 session/message id（裁决 04.4.3，见 source.go）。
 func (e *LLMExtractor) dedupeAndBuild(cands []llmCandidate) []MemoryItem {
 	e.mu.Lock()
 	defer e.mu.Unlock()
@@ -196,15 +199,14 @@ func (e *LLMExtractor) dedupeAndBuild(cands []llmCandidate) []MemoryItem {
 			continue
 		}
 		it := MemoryItem{
-			PersonaID:          e.personaID,
-			RoleID:             e.roleID,
-			ProjectID:          strings.TrimSpace(c.ProjectID),
-			Scope:              Scope(normalizeScope(c.Scope, string(e.scope))),
-			Kind:               Kind(normalizeKind(c.Kind, string(e.kind))),
-			Content:            content,
-			Tags:               c.Tags,
-			Confidence:         c.Confidence,
-			SourceConversation: strings.TrimSpace(c.Source),
+			PersonaID:  e.personaID,
+			RoleID:     e.roleID,
+			ProjectID:  strings.TrimSpace(c.ProjectID),
+			Scope:      Scope(normalizeScope(c.Scope, string(e.scope))),
+			Kind:       Kind(normalizeKind(c.Kind, string(e.kind))),
+			Content:    content,
+			Tags:       c.Tags,
+			Confidence: c.Confidence,
 		}
 		if !it.Scope.valid() || !it.Kind.valid() {
 			continue

internal/runtime/memory/llmextractor_test.go

@@ -3,6 +3,7 @@ package memory
 import (
 	"context"
 	"errors"
+	"strings"
 	"testing"
 	"time"
 
@@ -51,8 +52,10 @@ func TestLLMExtractor_Extract_Parse_正常(t *testing.T) {
 	if items[0].Content != "用户喜欢冰美式" || items[0].Scope != ScopeUser || items[0].Confidence != 0.9 {
 		t.Errorf("items[0] = %+v, want parsed user item", items[0])
 	}
-	if items[0].SourceConversation != "conv.1" {
-		t.Errorf("items[0].SourceConversation = %q, want conv.1", items[0].SourceConversation)
+	// 裁决 04.4.3：模型回填的 source_conversation 被忽略 —— 提取器
+	// 落空溯源，真实 id 由持久化层（loop.persistMemories）盖。
+	if items[0].SourceConversation != "" {
+		t.Errorf("items[0].SourceConversation = %q, want empty (source is stamped by the persistence layer, never the model)", items[0].SourceConversation)
 	}
 	if items[1].ProjectID != "project.alpha" || items[1].Scope != ScopeProject {
 		t.Errorf("items[1] = %+v, want project-scoped item", items[1])
@@ -84,6 +87,16 @@ func TestLLMExtractor_Extract_InvalidScopeKind_Fallback_正常(t *testing.T) {
 	}
 }
 
+// TestLLMExtractor_Prompt_ExcludesSource 锁死提取契约（裁决 04.4.3）：
+// 提取 prompt 不得向模型索要 source_conversation —— 溯源只由持久化层
+// 盖真实 session/message id，模型自由文本不是来源。
+func TestLLMExtractor_Prompt_ExcludesSource(t *testing.T) {
+	t.Parallel()
+	if strings.Contains(extractSystemPrompt, "source_conversation") {
+		t.Fatal("extract prompt asks the model for source_conversation: provenance must come from the persistence layer, never the model")
+	}
+}
+
 func TestLLMExtractor_Extract_Dedup_正常(t *testing.T) {
 	t.Parallel()
 	// The model emits the same memory three times, differing only in case and

internal/runtime/memory/retrieve.go

@@ -42,8 +42,10 @@ type Result struct {
 	Item  MemoryItem
 	Score float64
 	// SourceConversation is the conversation the item was extracted from, for
-	// 溯源 (design §2). It mirrors Item.SourceConversation so callers can trace a
-	// hit without reaching into Item.
+	// 溯源 (design §2). 裁决 04.4.3 起为结构化 JSON（session_id/message_id，
+	// 见 ParseSourceConversation），由持久化层盖真实 id。It mirrors
+	// Item.SourceConversation so callers can trace a hit without reaching into
+	// Item.
 	SourceConversation string
 	// Project is the linked project-index entry (设计 §3 项目分层), populated only
 	// when the retriever is wired with a project-index store and the item is a
@@ -52,11 +54,13 @@ type Result struct {
 	Project *projectindex.Project
 }
 
-// Retriever ranks a persona's long-term memories by relevance (keyword and,
-// when an embedder or vector index is configured, semantic vectors) weighted by
-// decay (decay_weight × time decay), then returns the top K. It is stateless and
-// safe for concurrent use; the ranking is recomputed from the store on every
-// call, so results always reflect persisted state.
+// Retriever ranks the long-term memories visible to a persona — its own items
+// plus the shared user/project scopes (design §3/§4, see visibleCandidates) —
+// by relevance (keyword and, when an embedder or vector index is configured,
+// semantic vectors) weighted by decay (decay_weight × time decay), then returns
+// the top K. It is stateless and safe for concurrent use; the ranking is
+// recomputed from the store on every call, so results always reflect persisted
+// state.
 type Retriever struct {
 	store           *Store
 	embedder        embedding.Embedder
@@ -149,16 +153,20 @@ func NewRetriever(store *Store, opts ...RetrieverOption) *Retriever {
 
 // Retrieve returns up to topK items for personaID that best match query, ranked
 // by relevance (keyword + optional semantic) weighted by decay (decay_weight ×
-// time decay). Query and candidate contents are both read under ctx; a canceled
-// context aborts the work. A blank query returns the most recently used items
-// (decay order only).
+// time decay). 候选集是 design/03 §3/§4 的可见域并集：该角色自己的条目
+// （ListByPersona）∪ 全局共享的用户习惯域（ScopeUser）∪ 人人可读的
+// 项目域（ScopeProject），按 id 去重。他角色的角色日常记忆（ScopePersona）
+// 绝不进入候选集 —— 跨角色读只走「把 B 当子代理去查 B」的派发机制
+// （design/22 §9），直接检索不越权。Query and candidate contents are both
+// read under ctx; a canceled context aborts the work. A blank query returns the
+// most recently used items (decay order only).
 func (r *Retriever) Retrieve(ctx context.Context, personaID, query string, topK int) ([]Result, error) {
 	if topK <= 0 {
 		topK = defaultTopK
 	}
-	items, err := r.store.ListByPersona(ctx, personaID)
+	items, err := r.visibleCandidates(ctx, personaID)
 	if err != nil {
-		return nil, fmt.Errorf("memory: retrieve list: %w", err)
+		return nil, err
 	}
 	if len(items) == 0 {
 		return []Result{}, nil
@@ -214,6 +222,39 @@ func (r *Retriever) Retrieve(ctx context.Context, personaID, query string, topK
 	return results, nil
 }
 
+// visibleCandidates 载入 personaID 可见的候选记忆并集（design/03
+// §3/§4）：本人条目（ListByPersona）∪ ScopeUser 全局共享域 ∪
+// ScopeProject 人人可读域，按 id 去重。本人条目先入集，因此去重
+// 保留的是同一行的唯一实例；他角色的 ScopePersona 条目（角色
+// 日常）不在其列 —— 跨角色读走子代理派发（design/22 §9），
+// 直接检索不得越权。任一载入失败都整体报错，绝不静默丢弃
+// 某个共享域。
+func (r *Retriever) visibleCandidates(ctx context.Context, personaID string) ([]MemoryItem, error) {
+	own, err := r.store.ListByPersona(ctx, personaID)
+	if err != nil {
+		return nil, fmt.Errorf("memory: retrieve list: %w", err)
+	}
+	seen := make(map[string]struct{}, len(own))
+	for _, it := range own {
+		seen[it.ID] = struct{}{}
+	}
+	items := own
+	for _, scope := range []Scope{ScopeUser, ScopeProject} {
+		shared, err := r.store.ListScope(ctx, scope, personaID)
+		if err != nil {
+			return nil, fmt.Errorf("memory: retrieve list %s scope: %w", scope, err)
+		}
+		for _, it := range shared {
+			if _, dup := seen[it.ID]; dup {
+				continue
+			}
+			seen[it.ID] = struct{}{}
+			items = append(items, it)
+		}
+	}
+	return items, nil
+}
+
 // keywordScores scores each item against query with an in-memory TF-IDF inverted
 // index (embedding.Index), reusing the embedding package's tokenizer. Scores are
 // normalized to [0,1] by the maximum so they are comparable with the semantic

internal/runtime/memory/retrieve_test.go

@@ -178,6 +178,56 @@ func TestRetriever_Retrieve_EmptyPersona_正常(t *testing.T) {
 	}
 }
 
+func TestRetriever_Retrieve_SharedScopesUnion_共享域可读(t *testing.T) {
+	t.Parallel()
+	ctx := context.Background()
+	s := newTestStore(t)
+
+	// persona.a 自己的条目 + persona.b 写入三个作用域各一条。
+	addItem(t, s, MemoryItem{
+		PersonaID: "persona.a", Content: "a 自己的咖啡记忆", Tags: []string{"咖啡"},
+		Scope: ScopePersona, Kind: KindRelationship,
+	})
+	addItem(t, s, MemoryItem{
+		PersonaID: "persona.b", Content: "用户习惯：喜欢手冲咖啡", Tags: []string{"咖啡"},
+		Scope: ScopeUser, Kind: KindRelationship,
+	})
+	addItem(t, s, MemoryItem{
+		PersonaID: "persona.b", Content: "项目记忆：咖啡项目用 Go 编写", Tags: []string{"咖啡"},
+		Scope: ScopeProject, Kind: KindWorldEvent,
+	})
+	addItem(t, s, MemoryItem{
+		PersonaID: "persona.b", Content: "b 的角色日常：周末爬山", Tags: []string{"咖啡"},
+		Scope: ScopePersona, Kind: KindRelationship,
+	})
+
+	r := NewRetriever(s)
+	results, err := r.Retrieve(ctx, "persona.a", "咖啡", 10)
+	if err != nil {
+		t.Fatalf("Retrieve: %v", err)
+	}
+
+	seen := map[string]bool{}
+	for _, res := range results {
+		seen[res.Item.PersonaID+"/"+string(res.Item.Scope)] = true
+	}
+	// 可见：自己的条目 + user/project 共享域（对所有角色可读，design/03 §3/§4）。
+	for _, want := range []string{"persona.a/persona", "persona.b/user", "persona.b/project"} {
+		if !seen[want] {
+			t.Fatalf("candidate set missing %s (shared scopes must be unioned in): %+v", want, seen)
+		}
+	}
+	// 不可见：他角色的角色日常 —— 直接检索不越权，跨角色读只走
+	// 子代理派发（design/03 §4，design/22 §9）。
+	if seen["persona.b/persona"] {
+		t.Fatal("candidate set includes persona.b's persona-scope memory: cross-role daily memory must not be directly retrievable")
+	}
+	// 并集不得重复计入同一行。
+	if len(results) != 3 {
+		t.Fatalf("got %d results, want 3 (own + shared user + shared project, no dupes)", len(results))
+	}
+}
+
 func TestRetriever_Inject_Format_正常(t *testing.T) {
 	t.Parallel()
 	ctx := context.Background()

internal/runtime/memory/source.go

@@ -0,0 +1,60 @@
+package memory
+
+import (
+	"encoding/json"
+	"strings"
+)
+
+// SourceRef 是 source_conversation 落库值的结构化形状（裁决
+// 04.4.3，design/03 §2 溯源）：一条记忆由哪次会话的哪条消息
+// 提取而来。两个 id 都由持久化层（提取调用点）从运行上下文
+// 盖真实值，绝不由模型生成，因此「可回溯到哪次对话」是
+// 机器可验证的，而不是 LLM 自由文本。
+type SourceRef struct {
+	// SessionID 是提取发生时的会话 id（Run 的 sessionID：Web
+	// 主/次级会话或渠道会话）。
+	SessionID string `json:"session_id"`
+	// MessageID 是触发提取的消息标识：gateway 在 Run 前挂载的
+	// turn id；调用方未挂载时为空，此时溯源只到会话粒度。
+	MessageID string `json:"message_id"`
+}
+
+// FormatSourceConversation 把真实 session/message id 编码为
+// source_conversation 的落库值：固定键序的紧凑 JSON，可被
+// ParseSourceConversation 解回。两个 id 都为空时返回 ""（无
+// 溯源）。纯字符串字段结构的 Marshal 不会失败；防御性兜底
+// 返回 ""。
+func FormatSourceConversation(sessionID, messageID string) string {
+	ref := SourceRef{
+		SessionID: strings.TrimSpace(sessionID),
+		MessageID: strings.TrimSpace(messageID),
+	}
+	if ref.SessionID == "" && ref.MessageID == "" {
+		return ""
+	}
+	b, err := json.Marshal(ref)
+	if err != nil {
+		return ""
+	}
+	return string(b)
+}
+
+// ParseSourceConversation 解码落库的 source_conversation。ok 为
+// false 表示该值不是结构化溯源 —— 裁决前由 LLM 自由文本填写
+// 的遗留行会落在这里 —— 调用方据此区分可机器回溯的行与
+// 遗留行，而不是把自由文本误当真实 id。解出的两个字段都为
+// 空同样返回 false：没有真实 id 的行不构成溯源。
+func ParseSourceConversation(s string) (SourceRef, bool) {
+	s = strings.TrimSpace(s)
+	if !strings.HasPrefix(s, "{") {
+		return SourceRef{}, false
+	}
+	var ref SourceRef
+	if err := json.Unmarshal([]byte(s), &ref); err != nil {
+		return SourceRef{}, false
+	}
+	if ref.SessionID == "" && ref.MessageID == "" {
+		return SourceRef{}, false
+	}
+	return ref, true
+}

internal/runtime/memory/source_test.go

@@ -0,0 +1,56 @@
+package memory
+
+import "testing"
+
+// TestSourceConversation_Roundtrip 证明溯源编码是机器可回溯的：
+// Format 后 Parse 得回同一对真实 id（裁决 04.4.3，design/03 §2）。
+func TestSourceConversation_Roundtrip(t *testing.T) {
+	t.Parallel()
+	raw := FormatSourceConversation("web:abc", "turn-1")
+
+	ref, ok := ParseSourceConversation(raw)
+	if !ok {
+		t.Fatalf("ParseSourceConversation(%q) ok = false, want structured", raw)
+	}
+	if ref.SessionID != "web:abc" || ref.MessageID != "turn-1" {
+		t.Fatalf("parsed ref = %+v, want session web:abc / message turn-1", ref)
+	}
+}
+
+// TestSourceConversation_BothBlank 证明两个 id 都缺时不落伪溯源
+// （空串而不是空 JSON 对象）。
+func TestSourceConversation_BothBlank(t *testing.T) {
+	t.Parallel()
+	if got := FormatSourceConversation("", "  "); got != "" {
+		t.Fatalf("FormatSourceConversation(blank) = %q, want empty", got)
+	}
+	if _, ok := ParseSourceConversation(""); ok {
+		t.Fatal("ParseSourceConversation(\"\") ok = true, want false")
+	}
+}
+
+// TestSourceConversation_SessionOnly 证明只知会话粒度时溯源降级为
+// 仅 session_id（渠道路径未挂 turn id 时的真实形态）。
+func TestSourceConversation_SessionOnly(t *testing.T) {
+	t.Parallel()
+	raw := FormatSourceConversation("qq-obv11:group:123", "")
+	ref, ok := ParseSourceConversation(raw)
+	if !ok {
+		t.Fatalf("ParseSourceConversation(%q) ok = false, want structured", raw)
+	}
+	if ref.SessionID != "qq-obv11:group:123" || ref.MessageID != "" {
+		t.Fatalf("parsed ref = %+v, want session-only provenance", ref)
+	}
+}
+
+// TestSourceConversation_LegacyFreeTextNotStructured 证明裁决前的
+// LLM 自由文本来源解不回结构化形状 —— 调用方靠 ok=false 区分
+// 遗留行与真实溯源，而不是把自由文本误当 id。
+func TestSourceConversation_LegacyFreeTextNotStructured(t *testing.T) {
+	t.Parallel()
+	for _, legacy := range []string{"conv.1", "昨天聊咖啡时提到的", `["session"]`, `{"other":1}`} {
+		if _, ok := ParseSourceConversation(legacy); ok {
+			t.Fatalf("ParseSourceConversation(%q) ok = true, want false for legacy free text", legacy)
+		}
+	}
+}

internal/runtime/memory/store.go

@@ -234,9 +234,10 @@ func (s *Store) Get(ctx context.Context, id string) (MemoryItem, error) {
 // ListByPersona returns every item for personaID, newest first. rowid breaks
 // created_at ties so items written within the same clock tick keep a stable
 // newest-first order. It is the persona-isolation boundary: items belonging to
-// other personas are never returned, so personas never share memory (design
-// §4). Use ListScope when a caller needs to see shared user/project scopes or
-// another persona's read-only items.
+// other personas are never returned, so personas never share their own 角色日常
+// namespace (design §4). It is only the *own* half of the retrieval candidate
+// set — the retriever unions it with the shared user/project scopes before
+// ranking (design §3/§4, see Retriever.visibleCandidates).
 func (s *Store) ListByPersona(ctx context.Context, personaID string) ([]MemoryItem, error) {
 	if strings.TrimSpace(personaID) == "" {
 		return nil, ErrMissingPersona