diff --git a/routes/memory.py b/routes/memory.py
index a0b6a95..c29ae53 100644
--- a/routes/memory.py
+++ b/routes/memory.py
@@ -1,13 +1,13 @@
 """
 Memory 管理 API 路由
-提供记忆查看和删除功能
+提供记忆查看、添加和删除功能
 """
 
 import logging
-from typing import Optional, List, Dict, Any
+from typing import Literal, Optional, List, Dict, Any
 from fastapi import APIRouter, HTTPException, Header, Query
 from fastapi.responses import JSONResponse
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 
 logger = logging.getLogger('app')
 
@@ -33,6 +33,26 @@ class DeleteAllResponse(BaseModel):
     deleted_count: int
 
 
+class ConversationMessage(BaseModel):
+    """对话消息"""
+    role: Literal["user", "assistant"]
+    content: str = Field(..., min_length=1)
+
+
+class AddMemoryRequest(BaseModel):
+    """添加记忆的请求体"""
+    bot_id: str = Field(..., min_length=1)
+    user_id: str = Field(..., min_length=1)
+    messages: List[ConversationMessage] = Field(..., max_length=200)
+
+
+class AddMemoryResponse(BaseModel):
+    """添加记忆的响应"""
+    success: bool
+    pairs_processed: int
+    pairs_failed: int = 0
+
+
 async def get_user_identifier_from_request(
     authorization: Optional[str],
     user_id: Optional[str] = None
@@ -63,6 +83,92 @@ async def get_user_identifier_from_request(
     )
 
 
+@router.post("/memory", response_model=AddMemoryResponse)
+async def add_memory_from_conversation(data: AddMemoryRequest):
+    """
+    从对话消息中提取并保存记忆
+
+    将用户和助手的对话配对，通过 Mem0 提取关键事实并存储。
+    用于 realtime 语音对话等不经过 Agent 中间件的场景。
+    此端点供内部服务调用（如 felo-mygpt），不暴露给外部用户。
+    """
+    try:
+        from agent.mem0_manager import get_mem0_manager
+        from utils.settings import MEM0_ENABLED
+
+        if not MEM0_ENABLED:
+            raise HTTPException(
+                status_code=503,
+                detail="Memory feature is not enabled"
+            )
+
+        if not data.messages:
+            return AddMemoryResponse(success=True, pairs_processed=0)
+
+        manager = get_mem0_manager()
+
+        # 将消息配对为 user-assistant 对，然后调用 add_memory
+        pairs_processed = 0
+        pairs_failed = 0
+        i = 0
+        while i < len(data.messages):
+            msg = data.messages[i]
+            if msg.role == 'user':
+                # 收集连续的 user 消息
+                user_contents = [msg.content]
+                j = i + 1
+                while j < len(data.messages) and data.messages[j].role == 'user':
+                    user_contents.append(data.messages[j].content)
+                    j += 1
+
+                user_text = '\n'.join(user_contents)
+
+                # 检查是否有对应的 assistant 回复
+                assistant_text = ""
+                if j < len(data.messages) and data.messages[j].role == 'assistant':
+                    assistant_text = data.messages[j].content or ""
+                    j += 1
+
+                if user_text and assistant_text:
+                    conversation_text = f"User: {user_text}\nAssistant: {assistant_text}"
+                    try:
+                        await manager.add_memory(
+                            text=conversation_text,
+                            user_id=data.user_id,
+                            agent_id=data.bot_id,
+                            metadata={"type": "realtime_conversation"},
+                        )
+                        pairs_processed += 1
+                    except Exception as pair_error:
+                        pairs_failed += 1
+                        logger.error(
+                            f"Failed to add memory for pair: {pair_error}"
+                        )
+
+                i = j
+            else:
+                i += 1
+
+        logger.info(
+            f"Added {pairs_processed} memory pairs (failed={pairs_failed}) "
+            f"for user={data.user_id}, bot={data.bot_id}"
+        )
+        return AddMemoryResponse(
+            success=pairs_failed == 0,
+            pairs_processed=pairs_processed,
+            pairs_failed=pairs_failed,
+        )
+
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"Failed to add memory from conversation: {e}")
+        raise HTTPException(
+            status_code=500,
+            detail="Failed to add memory from conversation"
+        )
+
+
 @router.get("/memory", response_model=MemoryListResponse)
 async def get_memories(
     bot_id: str = Query(..., description="Bot ID (对应 agent_id)"),