'TextualMemoryMetadata' object has no attribute 'memory_time'

[mycastiel]

我提前启动了一个vllm server，然后用下面的代码：
from memos.configs.mem_chat import MemChatConfigFactory
from memos.configs.mem_cube import GeneralMemCubeConfig
from memos.mem_chat.factory import MemChatFactory
from memos.mem_cube.general import GeneralMemCube

memchat_config = MemChatConfigFactory.model_validate(
{
"backend": "simple",
"config": {
"user_id": "user_123",
"chat_llm": {
"backend": "vllm",
"config": {
"model_name_or_path": "/home/qiaoyifan/models/Qwen3-14B",
"temperature": 0.7,
"api_base": "http://localhost:8088/v1",
"remove_think_prefix": True,
"max_tokens": 10240,
"model_schema": "memos.configs.llm.VLLMLLMConfig",
},
},
"max_turns_window": 20,
"top_k": 50,
"enable_textual_memory": True,
"enable_activation_memory": False,
"enable_parametric_memory": False,
},
}
)

config = GeneralMemCubeConfig.model_validate(
{
"user_id": "user03alice",
"cube_id": "user03alice/mem_cube_tree",
"text_mem": {
"backend": "naive_text",
"config": {
"extractor_llm": {
"backend": "vllm",
"config": {
"model_name_or_path": "/home/qiaoyifan/models/Qwen3-14B",
"temperature": 0.7,
"remove_think_prefix": True,
"max_tokens": 20480,
"api_base": "http://localhost:8088/v1",
},
},
},
},
"act_mem": {
"backend": "kv_cache",
"config": {
"memory_filename": "activation_memory.pickle",
"extractor_llm": {
"backend": "vllm",
"config": {
"model_name_or_path": "/home/qiaoyifan/models/Qwen3-14B",
"temperature": 0.7,
"max_tokens": 20480,
"top_p": 0.9,
"top_k": 50,
"remove_think_prefix": False,
"api_base": "http://localhost:8088/v1",
},
},
},
},
"para_mem": {
"backend": "lora",
"config": {
"memory_filename": "parametric_memory.adapter",
"extractor_llm": {
"backend": "huggingface",
"config": {
"model_name_or_path": "/home/qiaoyifan/models/Qwen3-14B",
"temperature": 0.7,
"max_tokens": 20480,
"top_p": 0.9,
"top_k": 50,
"remove_think_prefix": False,
},
},
},
},
},
)

mem_cube = GeneralMemCube(config)

mem_chat = MemChatFactory.from_config(memchat_config)
#mem_chat.mem_cube = GeneralMemCube.init_from_dir("examples/data/mem_cube_2")
mem_chat.mem_cube = mem_cube

mem_chat.run()

mem_chat.mem_cube.dump("/tmp/mem_cube")

运行后，每次只要问两个问题，问了第三个问题敲了回车，就会报错：
Traceback (most recent call last):
File "/home/qiaoyifan/test/chat.py", line 98, in
mem_chat.run()
File "/home/qiaoyifan/.local/lib/python3.11/site-packages/memos/mem_chat/simple.py", line 84, in run
system_prompt = self._build_system_prompt(memories)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/qiaoyifan/.local/lib/python3.11/site-packages/memos/mem_chat/simple.py", line 152, in _build_system_prompt
memory_context += f"{i}. ({memory.metadata.memory_time}) {memory.memory}\n"
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/qiaoyifan/.local/lib/python3.11/site-packages/pydantic/main.py", line 991, in getattr
raise AttributeError(f'{type(self).name!r} object has no attribute {item!r}')
AttributeError: 'TextualMemoryMetadata' object has no attribute 'memory_time'

FYI：我这边用的昇腾环境，没有ollama支持，所以backend尽量选的vllm