refactor: update Mem0Memory to use independent user/agent scoping and exclude assistant output

docs/user_guide/en/modules/memory.md

@@ -111,9 +111,9 @@ This schema lets multimodal outputs flow into Memory/Thinking modules without ex
 
 ### 5.4 Mem0Memory
 - **Config** – Requires `api_key` (from [app.mem0.ai](https://app.mem0.ai)). Optional `user_id`, `agent_id`, `org_id`, `project_id` for scoping.
-- **Important**: `user_id` and `agent_id` are mutually exclusive in Mem0 API calls. If both are configured, two separate searches are made and results merged. For writes, `agent_id` takes precedence. Agent-generated content is stored with `role: "assistant"`.
+- **Entity scoping**: `user_id` and `agent_id` are independent dimensions — both can be included simultaneously in `add()` and `search()` calls. When both are configured, retrieval uses an OR filter (`{"OR": [{"user_id": ...}, {"agent_id": ...}]}`) to search across both scopes. Writes include both IDs when available.
 - **Retrieval** – Uses Mem0's server-side semantic search. Supports `top_k` and `similarity_threshold` via `MemoryAttachmentConfig`.
-- **Write** – `update()` sends conversation messages to Mem0 via the SDK. Agent outputs use `role: "assistant"`, user inputs use `role: "user"`.
+- **Write** – `update()` sends only user input to Mem0 via the SDK (as `role: "user"` messages). Assistant output is excluded to prevent noise memories from the LLM's responses being extracted as facts.
 - **Persistence** – Fully cloud-managed. `load()` and `save()` are no-ops. Memories persist across runs and sessions automatically.
 - **Dependencies** – Requires `mem0ai` package (`pip install mem0ai`).
 

docs/user_guide/zh/modules/memory.md

@@ -32,12 +32,23 @@ memory:
         model: text-embedding-3-small
 ```
 
+### Mem0 Memory 配置
+```yaml
+memory:
+  - name: agent_memory
+    type: mem0
+    config:
+      api_key: ${MEM0_API_KEY}
+      agent_id: my-agent
+```
+
 ## 3. 内置 Memory Store 对比
 | 类型 | 路径 | 特点 | 适用场景 |
 | --- | --- | --- | --- |
 | `simple` | `node/agent/memory/simple_memory.py` | 运行结束后可选择落盘（JSON）；使用向量搜索（FAISS）+语义重打分；支持读写 | 小规模对话记忆、快速原型 |
 | `file` | `node/agent/memory/file_memory.py` | 将指定文件/目录切片为向量索引，只读；自动检测文件变更并更新索引 | 知识库、文档问答 |
 | `blackboard` | `node/agent/memory/blackboard_memory.py` | 轻量附加日志，按时间/条数裁剪；不依赖向量检索 | 简易广播板、流水线调试 |
+| `mem0` | `node/agent/memory/mem0_memory.py` | 由 Mem0 云端托管；支持语义搜索 + 图关系；无需本地 embedding 或持久化。需安装 `mem0ai` 包。 | 生产级记忆、跨会话持久化、多 Agent 记忆共享 |
 
 > 所有内置 store 都会在 `register_memory_store()` 中注册，摘要可通过 `MemoryStoreConfig.field_specs()` 在 UI 中展示。
 
@@ -100,6 +111,14 @@ nodes:
 - **检索**：直接返回最近 `top_k` 条，按时间排序。
 - **写入**：`update()` 以 append 方式存储最新的输入/输出 snapshot（文本 + 块 + 附件信息），不生成向量，适合事件流或人工批注。
 
+### 5.4 Mem0Memory
+- **配置**：必须提供 `api_key`（从 [app.mem0.ai](https://app.mem0.ai) 获取）。可选参数 `user_id`、`agent_id`、`org_id`、`project_id` 用于记忆范围控制。
+- **实体范围**：`user_id` 和 `agent_id` 是独立的维度，可在 `add()` 和 `search()` 调用中同时使用。若同时配置，检索时使用 OR 过滤器（`{"OR": [{"user_id": ...}, {"agent_id": ...}]}`）在一次 API 调用中搜索两个范围。写入时两个 ID 同时包含。
+- **检索**：使用 Mem0 服务端语义搜索。通过 `MemoryAttachmentConfig` 中的 `top_k` 和 `similarity_threshold` 控制。
+- **写入**：`update()` 仅将用户输入（`role: "user"` 消息）发送至 Mem0。不包含 Agent 输出，以避免 LLM 响应中的内容被提取为噪声记忆。
+- **持久化**：完全由云端托管。`load()` 和 `save()` 为空操作（no-op）。记忆在不同运行和会话间自动持久化。
+- **依赖**：需安装 `mem0ai` 包（`pip install mem0ai`）。
+
 ## 6. EmbeddingConfig 提示
 - 字段：`provider`, `model`, `api_key`, `base_url`, `params`。
 - `provider=openai` 时使用 `openai.OpenAI` 客户端，可配置 `base_url` 以兼容兼容层。

runtime/node/agent/memory/mem0_memory.py

@@ -1,6 +1,7 @@
 """Mem0 managed memory store implementation."""
 
 import logging
+import re
 import time
 import uuid
 from typing import Any, Dict, List
@@ -45,8 +46,8 @@ class Mem0Memory(MemoryBase):
 
     Important API constraints:
     - Agent memories use role="assistant" + agent_id
-    - user_id and agent_id are stored as separate records in Mem0;
+    - user_id and agent_id are independent scoping dimensions and can be
-      if both are configured, an OR filter is used to search across both scopes.
+      combined in both add() and search() calls.
     - search() uses filters dict; add() uses top-level kwargs.
     - SDK returns {"memories": [...]} from search.
     """
@@ -151,53 +152,68 @@ class Mem0Memory(MemoryBase):
     # -------- Update --------
 
     def update(self, payload: MemoryWritePayload) -> None:
-        """Store a memory in Mem0.
+        """Store user input as a memory in Mem0.
 
-        Uses role="assistant" + agent_id for agent-generated memories,
+        Only user input is sent for extraction. Assistant output is excluded
-        and role="user" + user_id for user-scoped memories.
+        to prevent noise memories from the LLM's responses.
         """
-        snapshot = payload.output_snapshot or payload.input_snapshot
+        raw_input = payload.inputs_text or ""
-        if not snapshot or not snapshot.text.strip():
+        if not raw_input.strip():
             return
 
         messages = self._build_messages(payload)
         if not messages:
             return
 
-        add_kwargs: Dict[str, Any] = {"messages": messages}
+        add_kwargs: Dict[str, Any] = {
+            "messages": messages,
+            "infer": True,
+        }
 
-        # Determine scoping: agent_id takes precedence for agent-generated content
+        # Include both user_id and agent_id when available — they are
+        # independent scoping dimensions in Mem0, not mutually exclusive.
         if self.agent_id:
             add_kwargs["agent_id"] = self.agent_id
-        elif self.user_id:
+        if self.user_id:
             add_kwargs["user_id"] = self.user_id
-        else:
+
-            # Default: use agent_role as agent_id
+        # Fallback when neither is configured
+        if "agent_id" not in add_kwargs and "user_id" not in add_kwargs:
             add_kwargs["agent_id"] = payload.agent_role
 
         try:
-            self.client.add(**add_kwargs)
+            result = self.client.add(**add_kwargs)
+            logger.info("Mem0 add result: %s", result)
         except Exception as e:
             logger.error("Mem0 add failed: %s", e)
 
+    @staticmethod
+    def _clean_pipeline_text(text: str) -> str:
+        """Strip ChatDev pipeline headers so Mem0 sees clean conversational text.
+
+        The executor wraps each input with '=== INPUT FROM <source> (<role>) ==='
+        headers. Mem0's extraction LLM treats these as system metadata and skips
+        them, resulting in zero memories extracted.
+        """
+        cleaned = re.sub(r"===\s*INPUT FROM\s+\S+\s*\(\w+\)\s*===\s*", "", text)
+        return cleaned.strip()
+
     def _build_messages(self, payload: MemoryWritePayload) -> List[Dict[str, str]]:
         """Build Mem0-compatible message list from write payload.
 
-        Agent-generated content uses role="assistant".
+        Only sends user input to Mem0. Assistant output is excluded because
-        User input uses role="user".
+        Mem0's extraction LLM processes ALL messages and extracts facts from
+        assistant responses too, creating noise memories like "Assistant says
+        Python is fascinating" instead of actual user facts.
         """
         messages: List[Dict[str, str]] = []
 
-        if payload.inputs_text and payload.inputs_text.strip():
+        raw_input = payload.inputs_text or ""
+        clean_input = self._clean_pipeline_text(raw_input)
+        if clean_input:
             messages.append({
                 "role": "user",
-                "content": payload.inputs_text.strip(),
+                "content": clean_input,
-            })
-
-        if payload.output_snapshot and payload.output_snapshot.text.strip():
-            messages.append({
-                "role": "assistant",
-                "content": payload.output_snapshot.text.strip(),
             })
 
         return messages

tests/test_mem0_memory.py

@@ -197,8 +197,8 @@ class TestMem0MemoryRetrieve:
 
 class TestMem0MemoryUpdate:
 
-    def test_update_with_agent_id_uses_assistant_role(self):
+    def test_update_sends_only_user_input(self):
-        """Agent-scoped update sends role=assistant messages with agent_id."""
+        """Update sends only user input, not assistant output, to prevent noise."""
         memory, client = _make_mem0_memory(agent_id="agent-1")
         client.add.return_value = [{"id": "new", "event": "ADD"}]
 
@@ -215,8 +215,26 @@ class TestMem0MemoryUpdate:
         assert call_kwargs["agent_id"] == "agent-1"
         assert "user_id" not in call_kwargs
         messages = call_kwargs["messages"]
+        assert len(messages) == 1
         assert messages[0]["role"] == "user"
-        assert messages[1]["role"] == "assistant"
+        assert messages[0]["content"] == "Write about AI"
+
+    def test_update_does_not_send_async_mode(self):
+        """Update does not send deprecated async_mode parameter."""
+        memory, client = _make_mem0_memory(agent_id="agent-1")
+        client.add.return_value = []
+
+        payload = MemoryWritePayload(
+            agent_role="writer",
+            inputs_text="test",
+            input_snapshot=None,
+            output_snapshot=MemoryContentSnapshot(text="output"),
+        )
+        memory.update(payload)
+
+        call_kwargs = client.add.call_args[1]
+        assert "async_mode" not in call_kwargs
+        assert call_kwargs["infer"] is True
 
     def test_update_with_user_id(self):
         """User-scoped update uses user_id, not agent_id."""
@@ -227,7 +245,7 @@ class TestMem0MemoryUpdate:
             agent_role="writer",
             inputs_text="I prefer Python",
             input_snapshot=None,
-            output_snapshot=MemoryContentSnapshot(text="Noted your preference"),
+            output_snapshot=None,
         )
         memory.update(payload)
 
@@ -244,15 +262,15 @@ class TestMem0MemoryUpdate:
             agent_role="coder",
             inputs_text="test input",
             input_snapshot=None,
-            output_snapshot=MemoryContentSnapshot(text="test output"),
+            output_snapshot=None,
         )
         memory.update(payload)
 
         call_kwargs = client.add.call_args[1]
         assert call_kwargs["agent_id"] == "coder"
 
-    def test_update_with_both_ids_prefers_agent_id(self):
+    def test_update_with_both_ids_includes_both(self):
-        """When both user_id and agent_id configured, agent_id takes precedence for writes."""
+        """When both user_id and agent_id configured, both are included in add() call."""
         memory, client = _make_mem0_memory(user_id="user-1", agent_id="agent-1")
         client.add.return_value = []
 
@@ -260,37 +278,37 @@ class TestMem0MemoryUpdate:
             agent_role="writer",
             inputs_text="input",
             input_snapshot=None,
-            output_snapshot=MemoryContentSnapshot(text="output"),
+            output_snapshot=None,
         )
         memory.update(payload)
 
         call_kwargs = client.add.call_args[1]
         assert call_kwargs["agent_id"] == "agent-1"
-        assert "user_id" not in call_kwargs
+        assert call_kwargs["user_id"] == "user-1"
 
-    def test_update_empty_output_is_noop(self):
+    def test_update_empty_input_is_noop(self):
-        """Empty output snapshot skips API call."""
+        """Empty inputs_text skips API call."""
+        memory, client = _make_mem0_memory(agent_id="a1")
+
+        payload = MemoryWritePayload(
+            agent_role="writer",
+            inputs_text="   ",
+            input_snapshot=None,
+            output_snapshot=MemoryContentSnapshot(text="some output"),
+        )
+        memory.update(payload)
+
+        client.add.assert_not_called()
+
+    def test_update_no_input_is_noop(self):
+        """No inputs_text skips API call."""
         memory, client = _make_mem0_memory(agent_id="a1")
 
         payload = MemoryWritePayload(
             agent_role="writer",
             inputs_text="",
             input_snapshot=None,
-            output_snapshot=MemoryContentSnapshot(text="   "),
+            output_snapshot=MemoryContentSnapshot(text="output"),
-        )
-        memory.update(payload)
-
-        client.add.assert_not_called()
-
-    def test_update_no_snapshot_is_noop(self):
-        """No snapshot at all skips API call."""
-        memory, client = _make_mem0_memory(agent_id="a1")
-
-        payload = MemoryWritePayload(
-            agent_role="writer",
-            inputs_text="test",
-            input_snapshot=None,
-            output_snapshot=None,
         )
         memory.update(payload)
 
@@ -303,14 +321,63 @@ class TestMem0MemoryUpdate:
 
         payload = MemoryWritePayload(
             agent_role="writer",
-            inputs_text="test",
+            inputs_text="test user input",
             input_snapshot=None,
-            output_snapshot=MemoryContentSnapshot(text="output"),
+            output_snapshot=None,
         )
         # Should not raise
         memory.update(payload)
 
 
+class TestMem0MemoryPipelineTextCleaning:
+
+    def test_strips_input_from_task_header(self):
+        """Pipeline headers like '=== INPUT FROM TASK (user) ===' are stripped."""
+        memory, client = _make_mem0_memory(agent_id="a1")
+        client.add.return_value = []
+
+        payload = MemoryWritePayload(
+            agent_role="writer",
+            inputs_text="=== INPUT FROM TASK (user) ===\n\nMy name is Alex, I love Python",
+            input_snapshot=None,
+            output_snapshot=MemoryContentSnapshot(text="Nice to meet you Alex!"),
+        )
+        memory.update(payload)
+
+        call_kwargs = client.add.call_args[1]
+        messages = call_kwargs["messages"]
+        assert messages[0]["role"] == "user"
+        assert messages[0]["content"] == "My name is Alex, I love Python"
+        assert "INPUT FROM" not in messages[0]["content"]
+
+    def test_strips_multiple_input_headers(self):
+        """Multiple pipeline headers from different sources are all stripped."""
+        memory, client = _make_mem0_memory(agent_id="a1")
+        client.add.return_value = []
+
+        payload = MemoryWritePayload(
+            agent_role="writer",
+            inputs_text=(
+                "=== INPUT FROM TASK (user) ===\n\nHello\n\n"
+                "=== INPUT FROM reviewer (assistant) ===\n\nWorld"
+            ),
+            input_snapshot=None,
+            output_snapshot=MemoryContentSnapshot(text="Hi!"),
+        )
+        memory.update(payload)
+
+        call_kwargs = client.add.call_args[1]
+        user_content = call_kwargs["messages"][0]["content"]
+        assert "INPUT FROM" not in user_content
+        assert "Hello" in user_content
+        assert "World" in user_content
+
+    def test_clean_text_without_headers_unchanged(self):
+        """Text without pipeline headers passes through unchanged."""
+        from runtime.node.agent.memory.mem0_memory import Mem0Memory
+        assert Mem0Memory._clean_pipeline_text("Just normal text") == "Just normal text"
+
+
 class TestMem0MemoryLoadSave:
 
     def test_load_is_noop(self):

yaml_instance/demo_mem0_memory.yaml

@@ -28,19 +28,15 @@ graph:
             write: true
   edges: []
   memory:
-    # Agent-scoped memory: uses agent_id for storing and retrieving
+    # User-scoped: extracts facts about the user (name, preferences, etc.)
+    # Agent-scoped: extracts what the agent learned (decisions, context)
+    # Both can be used together for different memory dimensions.
     - name: mem0_store
       type: mem0
       config:
         api_key: ${MEM0_API_KEY}
+        user_id: project-user-123
         agent_id: writer-agent
-
-    # Alternative: User-scoped memory (uncomment to use instead)
-    # - name: mem0_store
-    #   type: mem0
-    #   config:
-    #     api_key: ${MEM0_API_KEY}
-    #     user_id: project-user-123
   start:
     - writer
   end: []