diff --git a/src/chat/replyer/default_generator.py b/src/chat/replyer/default_generator.py
index c8278dac..15d3a1a6 100644
--- a/src/chat/replyer/default_generator.py
+++ b/src/chat/replyer/default_generator.py
@@ -368,37 +368,37 @@ class DefaultReplyer:
 
         return f"{expression_habits_title}\n{expression_habits_block}", selected_ids
 
-    async def build_memory_block(self, chat_history: List[DatabaseMessages], target: str) -> str:
-        """构建记忆块
+    # async def build_memory_block(self, chat_history: List[DatabaseMessages], target: str) -> str:
+    #     """构建记忆块
 
-        Args:
-            chat_history: 聊天历史记录
-            target: 目标消息内容
+    #     Args:
+    #         chat_history: 聊天历史记录
+    #         target: 目标消息内容
 
-        Returns:
-            str: 记忆信息字符串
-        """
+    #     Returns:
+    #         str: 记忆信息字符串
+    #     """
 
-        if not global_config.memory.enable_memory:
-            return ""
+    #     if not global_config.memory.enable_memory:
+    #         return ""
 
-        instant_memory = None
+    #     instant_memory = None
 
-        running_memories = await self.memory_activator.activate_memory_with_chat_history(
-            target_message=target, chat_history=chat_history
-        )
-        if not running_memories:
-            return ""
+    #     running_memories = await self.memory_activator.activate_memory_with_chat_history(
+    #         target_message=target, chat_history=chat_history
+    #     )
+    #     if not running_memories:
+    #         return ""
 
-        memory_str = "以下是当前在聊天中，你回忆起的记忆：\n"
-        for running_memory in running_memories:
-            keywords, content = running_memory
-            memory_str += f"- {keywords}：{content}\n"
+    #     memory_str = "以下是当前在聊天中，你回忆起的记忆：\n"
+    #     for running_memory in running_memories:
+    #         keywords, content = running_memory
+    #         memory_str += f"- {keywords}：{content}\n"
 
-        if instant_memory:
-            memory_str += f"- {instant_memory}\n"
+    #     if instant_memory:
+    #         memory_str += f"- {instant_memory}\n"
 
-        return memory_str
+    #     return memory_str
 
     async def build_tool_info(self, chat_history: str, sender: str, target: str, enable_tool: bool = True) -> str:
         """构建工具信息块
diff --git a/src/common/data_models/message_data_model.py b/src/common/data_models/message_data_model.py
index 70b970df..a3d5751f 100644
--- a/src/common/data_models/message_data_model.py
+++ b/src/common/data_models/message_data_model.py
@@ -1,4 +1,4 @@
-from typing import Optional, TYPE_CHECKING, List, Tuple, Union, Dict
+from typing import Optional, TYPE_CHECKING, List, Tuple, Union, Dict, Any
 from dataclasses import dataclass, field
 from enum import Enum
 
@@ -50,10 +50,65 @@ class ReplyContentType(Enum):
         return self.value
 
 
+@dataclass
+class ForwardNode(BaseDataModel):
+    user_id: Optional[str] = None
+    user_nickname: Optional[str] = None
+    content: Union[List["ReplyContent"], str] = field(default_factory=list)
+
+    @classmethod
+    def construct_as_id_reference(cls, message_id: str) -> "ForwardNode":
+        return cls(user_id="", user_nickname="", content=message_id)
+
+    @classmethod
+    def construct_as_created_node(
+        cls, user_id: str, user_nickname: str, content: List["ReplyContent"]
+    ) -> "ForwardNode":
+        return cls(user_id=user_id, user_nickname=user_nickname, content=content)
+
+
 @dataclass
 class ReplyContent(BaseDataModel):
     content_type: ReplyContentType | str
-    content: Union[str, Dict, List["ReplyContent"]]  # 支持嵌套的 ReplyContent
+    content: Union[str, Dict, List[ForwardNode], List["ReplyContent"]]  # 支持嵌套的 ReplyContent
+
+    @classmethod
+    def construct_as_text(cls, text: str):
+        return cls(content_type=ReplyContentType.TEXT, content=text)
+
+    @classmethod
+    def construct_as_image(cls, image_base64: str):
+        return cls(content_type=ReplyContentType.IMAGE, content=image_base64)
+
+    @classmethod
+    def construct_as_voice(cls, voice_base64: str):
+        return cls(content_type=ReplyContentType.VOICE, content=voice_base64)
+
+    @classmethod
+    def construct_as_emoji(cls, emoji_str: str):
+        return cls(content_type=ReplyContentType.EMOJI, content=emoji_str)
+
+    @classmethod
+    def construct_as_command(cls, command_arg: Dict):
+        return cls(content_type=ReplyContentType.COMMAND, content=command_arg)
+
+    @classmethod
+    def construct_as_hybrid(cls, hybrid_content: List[Tuple[ReplyContentType | str, str]]):
+        hybrid_content_list: List[ReplyContent] = []
+        for content_type, content in hybrid_content:
+            assert content_type not in [
+                ReplyContentType.HYBRID,
+                ReplyContentType.FORWARD,
+                ReplyContentType.VOICE,
+                ReplyContentType.COMMAND,
+            ], "混合内容的每个项不能是混合、转发、语音或命令类型"
+            assert isinstance(content, str), "混合内容的每个项必须是字符串"
+            hybrid_content_list.append(ReplyContent(content_type=content_type, content=content))
+        return cls(content_type=ReplyContentType.HYBRID, content=hybrid_content_list)
+
+    @classmethod
+    def construct_as_forward(cls, forward_nodes: List[ForwardNode]):
+        return cls(content_type=ReplyContentType.FORWARD, content=forward_nodes)
 
     def __post_init__(self):
         if isinstance(self.content_type, ReplyContentType):
@@ -82,36 +137,70 @@ class ReplySetModel(BaseDataModel):
         return len(self.reply_data)
 
     def add_text_content(self, text: str):
-        """添加文本内容"""
+        """
+        添加文本内容
+        Args:
+            text: 文本内容
+        """
         self.reply_data.append(ReplyContent(content_type=ReplyContentType.TEXT, content=text))
 
     def add_image_content(self, image_base64: str):
-        """添加图片内容，base64编码的图片数据"""
+        """
+        添加图片内容，base64编码的图片数据
+        Args:
+            image_base64: base64编码的图片数据
+        """
         self.reply_data.append(ReplyContent(content_type=ReplyContentType.IMAGE, content=image_base64))
 
     def add_voice_content(self, voice_base64: str):
-        """添加语音内容，base64编码的音频数据"""
+        """
+        添加语音内容，base64编码的音频数据
+        Args:
+            voice_base64: base64编码的音频数据
+        """
         self.reply_data.append(ReplyContent(content_type=ReplyContentType.VOICE, content=voice_base64))
 
-    def add_hybrid_content(self, hybrid_content: List[Tuple[ReplyContentType, str]]):
+    def add_hybrid_content_by_raw(self, hybrid_content: List[Tuple[ReplyContentType | str, str]]):
         """
-        添加混合型内容，可以包含多种类型的内容
-
-        实际解析时只关注最外层，没有递归嵌套处理
+        添加混合型内容，可以包含text, image, emoji的任意组合
+        Args:
+            hybrid_content: 元组 (类型, 消息内容) 构成的列表，如[(ReplyContentType.TEXT, "Hello"), (ReplyContentType.IMAGE, "<base64")]
         """
+        hybrid_content_list: List[ReplyContent] = []
         for content_type, content in hybrid_content:
+            assert content_type not in [
+                ReplyContentType.HYBRID,
+                ReplyContentType.FORWARD,
+                ReplyContentType.VOICE,
+                ReplyContentType.COMMAND,
+            ], "混合内容的每个项不能是混合、转发、语音或命令类型"
             assert isinstance(content, str), "混合内容的每个项必须是字符串"
-            self.reply_data.append(ReplyContent(content_type=content_type, content=content))
+            hybrid_content_list.append(ReplyContent(content_type=content_type, content=content))
 
-    def add_custom_content(self, content_type: str, content: str):
-        """添加自定义类型的内容"""
+        self.reply_data.append(ReplyContent(content_type=ReplyContentType.HYBRID, content=hybrid_content_list))
+
+    def add_hybrid_content(self, hybrid_content: List[ReplyContent]):
+        """
+        添加混合型内容，使用已经构造好的 ReplyContent 列表
+        Args:
+            hybrid_content: ReplyContent 构成的列表，如[ReplyContent(ReplyContentType.TEXT, "Hello"), ReplyContent(ReplyContentType.IMAGE, "<base64")]
+        """
+        for content in hybrid_content:
+            assert content.content_type not in [
+                ReplyContentType.HYBRID,
+                ReplyContentType.FORWARD,
+                ReplyContentType.VOICE,
+                ReplyContentType.COMMAND,
+            ], "混合内容的每个项不能是混合、转发、语音或命令类型"
+            assert isinstance(content.content, str), "混合内容的每个项必须是字符串"
+
+        self.reply_data.append(ReplyContent(content_type=ReplyContentType.HYBRID, content=hybrid_content))
+
+    def add_custom_content(self, content_type: str, content: Any):
+        """
+        添加自定义类型的内容"""
         self.reply_data.append(ReplyContent(content_type=content_type, content=content))
 
-    def add_forward_content(self, forward_content: List[Tuple[ReplyContentType, Union[str, ReplyContent]]]):
+    def add_forward_content(self, forward_content: List[ForwardNode]):
         """添加转发内容，可以是字符串或ReplyContent，嵌套的转发内容需要自己构造放入"""
-        for content_type, content in forward_content:
-            if isinstance(content, ReplyContent):
-                self.reply_data.append(content)
-            else:
-                assert isinstance(content, str), "转发内容的每个data必须是字符串或ReplyContent"
-                self.reply_data.append(ReplyContent(content_type=content_type, content=content))
+        self.reply_data.append(ReplyContent(content_type=ReplyContentType.FORWARD, content=forward_content))
diff --git a/src/common/data_models/reply_set_doc.md b/src/common/data_models/reply_set_doc.md
new file mode 100644
index 00000000..70be5416
--- /dev/null
+++ b/src/common/data_models/reply_set_doc.md
@@ -0,0 +1,57 @@
+# 有关转发消息和其他消息的构建类型说明
+```mermaid
+graph LR;
+    direction TB;
+    A[ReplySet] --- B[ReplyContent];
+    A --- C["ReplyContent"];
+    A --- K["ReplyContent"];
+    A --- L["ReplyContent"];
+    A --- N["ReplyContent"];
+    A --- D[...];
+    B --- E["Text (in str)"];
+    B --- F["Image (in base64)"];
+    C --- G["Voice (in base64)"];
+    B --- I["Emoji (in base64)"];
+    subgraph "可行内容(以下的任意组合)";
+        subgraph "转发消息(Forward)"
+            M["List[ForwardNode]"]
+        end
+        subgraph "混合消息(Hybrid)"
+            J["List[ReplyContent] (要求只能包含普通消息)"]
+        end
+        subgraph "命令消息(Command)"
+            H["Command (in Dict)"]
+        end
+        subgraph "语音消息"
+            G
+        end
+        subgraph "普通消息"
+            E
+            F
+            I
+        end
+    end
+    N --- H
+    K --- J
+    L --- M
+    subgraph ForwardNodes
+        O["ForwardNode"]
+        P["ForwardNode"]
+        Q["ForwardNode"]
+    end
+    M --- O
+    M --- P
+    M --- Q
+    subgraph "内容 (message_id引用法)"
+        P --- U["content: str, 引用已有消息的有效ID"];
+    end
+    subgraph "内容 (生成法)"
+        O --- R["user_id: str"];
+        O --- S["user_nickname: str"];
+        O --- T["content: List[ReplyContent], 为这个转发节点的消息内容"];
+    end
+```
+
+另外，自定义消息类型我们在这里不做讨论。
+
+以上列出了所有可能的ReplySet构建方式，下面我们来解释一下各个类型的含义。
\ No newline at end of file
diff --git a/src/plugin_system/apis/send_api.py b/src/plugin_system/apis/send_api.py
index 3487712b..5fd53de5 100644
--- a/src/plugin_system/apis/send_api.py
+++ b/src/plugin_system/apis/send_api.py
@@ -21,7 +21,7 @@
 
 import traceback
 import time
-from typing import Optional, Union, Dict, List, TYPE_CHECKING
+from typing import Optional, Union, Dict, List, TYPE_CHECKING, Tuple
 
 from src.common.logger import get_logger
 from src.common.data_models.message_data_model import ReplyContentType
@@ -29,11 +29,11 @@ from src.config.config import global_config
 from src.chat.message_receive.chat_stream import get_chat_manager
 from src.chat.message_receive.uni_message_sender import UniversalMessageSender
 from src.chat.message_receive.message import MessageSending, MessageRecv
-from maim_message import Seg, UserInfo
+from maim_message import Seg, UserInfo, MessageBase, BaseMessageInfo
 
 if TYPE_CHECKING:
     from src.common.data_models.database_data_model import DatabaseMessages
-    from src.common.data_models.message_data_model import ReplySetModel
+    from src.common.data_models.message_data_model import ReplySetModel, ReplyContent, ForwardNode
 
 logger = get_logger("send_api")
 
@@ -367,89 +367,84 @@ async def custom_reply_set_to_stream(
     flag: bool = True
     for reply_content in reply_set.reply_data:
         status: bool = False
-        content_type = reply_content.content_type
-        message_data = reply_content.content
-        if content_type == ReplyContentType.TEXT:
-            status = await _send_to_target(
-                message_segment=Seg(type="text", data=message_data),  # type: ignore
-                stream_id=stream_id,
-                display_message=display_message,
-                typing=typing,
-                reply_message=reply_message,
-                set_reply=set_reply,
-                storage_message=storage_message,
-                show_log=show_log,
-            )
-        elif content_type in [
-            ReplyContentType.IMAGE,
-            ReplyContentType.EMOJI,
-            ReplyContentType.COMMAND,
-            ReplyContentType.VOICE,
-        ]:
-            message_segment: Seg
-            if ReplyContentType == ReplyContentType.IMAGE:
-                message_segment = Seg(type="image", data=message_data)  # type: ignore
-            elif ReplyContentType == ReplyContentType.EMOJI:
-                message_segment = Seg(type="emoji", data=message_data)  # type: ignore
-            elif ReplyContentType == ReplyContentType.COMMAND:
-                message_segment = Seg(type="command", data=message_data)  # type: ignore
-            elif ReplyContentType == ReplyContentType.VOICE:
-                message_segment = Seg(type="voice", data=message_data)  # type: ignore
-            status = await _send_to_target(
-                message_segment=message_segment,
-                stream_id=stream_id,
-                display_message=display_message,
-                typing=False,
-                reply_message=reply_message,
-                set_reply=set_reply,
-                storage_message=storage_message,
-                show_log=show_log,
-            )
-        elif content_type == ReplyContentType.HYBRID:
-            assert isinstance(message_data, list), "混合类型内容必须是列表"
-            sub_seg_list: List[Seg] = []
-            for sub_content in message_data:
-                sub_content_type = sub_content.content_type
-                sub_content_data = sub_content.content
-
-                if sub_content_type == ReplyContentType.TEXT:
-                    sub_seg_list.append(Seg(type="text", data=sub_content_data))  # type: ignore
-                elif sub_content_type == ReplyContentType.IMAGE:
-                    sub_seg_list.append(Seg(type="image", data=sub_content_data))  # type: ignore
-                elif sub_content_type == ReplyContentType.EMOJI:
-                    sub_seg_list.append(Seg(type="emoji", data=sub_content_data))  # type: ignore
-                else:
-                    logger.warning(f"[SendAPI] 混合类型中不支持的子内容类型: {repr(sub_content_type)}")
-                    continue
-            status = await _send_to_target(
-                message_segment=Seg(type="seglist", data=sub_seg_list),  # type: ignore
-                stream_id=stream_id,
-                display_message=display_message,
-                typing=typing,
-                reply_message=reply_message,
-                set_reply=set_reply,
-                storage_message=storage_message,
-                show_log=show_log,
-            )
-        elif content_type == ReplyContentType.FORWARD:
-            assert isinstance(message_data, list), "转发类型内容必须是列表"
-            # TODO: 完成转发消息的发送机制
-        else:
-            message_type_in_str = (
-                content_type.value if isinstance(content_type, ReplyContentType) else str(content_type)
-            )
-            return await _send_to_target(
-                message_segment=Seg(type=message_type_in_str, data=message_data),  # type: ignore
-                stream_id=stream_id,
-                display_message=display_message,
-                typing=typing,
-                reply_message=reply_message,
-                set_reply=set_reply,
-                storage_message=storage_message,
-                show_log=show_log,
-            )
+        message_seg, need_typing = _parse_content_to_seg(reply_content)
+        status = await _send_to_target(
+            message_segment=message_seg,
+            stream_id=stream_id,
+            display_message=display_message,
+            typing=bool(need_typing and typing),
+            reply_message=reply_message,
+            set_reply=set_reply,
+            storage_message=storage_message,
+            show_log=show_log,
+        )
         if not status:
             flag = False
-            logger.error(f"[SendAPI] 发送{repr(content_type)}消息失败，消息内容：{str(message_data)[:100]}")
+            logger.error(
+                f"[SendAPI] 发送{repr(reply_content.content_type)}消息失败，消息内容：{str(reply_content.content)[:100]}"
+            )
 
     return flag
+
+
+def _parse_content_to_seg(reply_content: "ReplyContent") -> Tuple[Seg, bool]:
+    """
+    把 ReplyContent 转换为 Seg 结构 (Forward 中仅递归一次)
+    Args:
+        reply_content: ReplyContent 对象
+    Returns:
+        Tuple[Seg, bool]: 转换后的 Seg 结构和是否需要typing的标志
+    """
+    content_type = reply_content.content_type
+    if content_type == ReplyContentType.TEXT:
+        text_data: str = reply_content.content  # type: ignore
+        return Seg(type="text", data=text_data), True
+    elif content_type == ReplyContentType.IMAGE:
+        return Seg(type="image", data=reply_content.content), False  # type: ignore
+    elif content_type == ReplyContentType.EMOJI:
+        return Seg(type="emoji", data=reply_content.content), False  # type: ignore
+    elif content_type == ReplyContentType.COMMAND:
+        return Seg(type="command", data=reply_content.content), False  # type: ignore
+    elif content_type == ReplyContentType.VOICE:
+        return Seg(type="voice", data=reply_content.content), False  # type: ignore
+    elif content_type == ReplyContentType.HYBRID:
+        hybrid_message_list_data: List[ReplyContent] = reply_content.content  # type: ignore
+        assert isinstance(hybrid_message_list_data, list), "混合类型内容必须是列表"
+        sub_seg_list: List[Seg] = []
+        for sub_content in hybrid_message_list_data:
+            sub_content_type = sub_content.content_type
+            sub_content_data = sub_content.content
+
+            if sub_content_type == ReplyContentType.TEXT:
+                sub_seg_list.append(Seg(type="text", data=sub_content_data))  # type: ignore
+            elif sub_content_type == ReplyContentType.IMAGE:
+                sub_seg_list.append(Seg(type="image", data=sub_content_data))  # type: ignore
+            elif sub_content_type == ReplyContentType.EMOJI:
+                sub_seg_list.append(Seg(type="emoji", data=sub_content_data))  # type: ignore
+            else:
+                logger.warning(f"[SendAPI] 混合类型中不支持的子内容类型: {repr(sub_content_type)}")
+                continue
+        return Seg(type="seglist", data=sub_seg_list), True
+    elif content_type == ReplyContentType.FORWARD:
+        forward_message_list_data: List["ForwardNode"] = reply_content.content  # type: ignore
+        assert isinstance(forward_message_list_data, list), "转发类型内容必须是列表"
+        forward_message_list: List[MessageBase] = []
+        for forward_node in forward_message_list_data:
+            message_segment = Seg(type="id", data=forward_node.content)  # type: ignore
+            user_info: Optional[UserInfo] = None
+            if forward_node.user_id and forward_node.user_nickname:
+                assert isinstance(forward_node.content, list), "转发节点内容必须是列表"
+                user_info = UserInfo(user_id=forward_node.user_id, user_nickname=forward_node.user_nickname)
+                single_node_content: List[Seg] = []
+                for sub_content in forward_node.content:
+                    if sub_content.content_type != ReplyContentType.FORWARD:
+                        sub_seg, _ = _parse_content_to_seg(sub_content)
+                        single_node_content.append(sub_seg)
+                message_segment = Seg(type="seglist", data=single_node_content)
+            forward_message_list.append(
+                MessageBase(message_segment=message_segment, message_info=BaseMessageInfo(user_info=user_info))
+            )
+        return Seg(type="forward", data=forward_message_list), False  # type: ignore
+    else:
+        message_type_in_str = content_type.value if isinstance(content_type, ReplyContentType) else str(content_type)
+        return Seg(type=message_type_in_str, data=reply_content.content), True  # type: ignore