Repository: plurai-ai/intellagent
Issue: A potential logical problem
Root cause: Algorithmic Error

hi,bros, I have encountered a problem again....
Why do we need to first determine if self. memory is not None: and if response ['thought '] is not None: before user_thoughts. append(response ['thought']) in the get_user_node node? Shouldn't it be added to user_thoughts if there is a value? Why are there prerequisites here? Is there a logical problem here?
```
  def get_user_node(self):
        def simulated_user_node(state):
            messages = [state["user_messages"][0]] + set_user_message(state)
            # Call the simulated user
            response = self.user.invoke(messages)
            # This response is an AI message - we need to flip this to be a human message
            user_thoughts = state['user_thoughts']
            if self.memory is not None:
                if response['thought'] is not None:
                    self.memory.insert_thought(state['thread_id'], response['thought'])
                    user_thoughts.append(response['thought'])
                self.memory.insert_dialog(state['thread_id'], 'Human', response['response'])

            result_state = {'user_thoughts': user_thoughts, 'critique_feedback': '', 'stop_signal': ''}
            if '###STOP' in response['response']:
                result_state['stop_signal'] = response['response']
            else:
                result_state.update({"chatbot_messages": [HumanMessage(content=response['response'])],
                                     'user_messages': [AIMessage(content=response['response'])]})
            return result_state

        return simulated_user_node

```

Whether or not there is memory, user_thoughts are updated correctly？

[Current Code]
✗ Only add under specific conditions (with memory and not empty thoughts)
Causing data loss

The logic that should be followed
✓ Always add thoughts to user_thoughts when they have value
✓ Whether or not there is memory
✓ Memory is just an additional persistence and does not affect state updates

The repair plan I understand:
```
def simulated_user_node(state):
    messages = [state["user_messages"][0]] + set_user_message(state)
    response = self.user.invoke(messages)
    
    # Initialize user_thoughts
    user_thoughts = state['user_thoughts'] if state['user_thoughts'] is not None else []

   # Key: Separate "Add to State" and "Save to Database"
   #Step 1: If you have an idea, add it to the state (independent of memory)
    if response['thought'] is not None:
        user_thoughts.append(response['thought'])
    
    #Step 2: If memory is configured, save it to the database
    if self.memory is not None:
        if response['thought'] is not None:
            self.memory.insert_thought(state['thread_id'], response['thought'])
        self.memory.insert_dialog(state['thread_id'], 'Human', response['response'])
    
    result_state = {'user_thoughts': user_thoughts, 'critique_feedback': '', 'stop_signal': ''}
    if '###STOP' in response['response']:
        result_state['stop_signal'] = response['response']
    else:
        result_state.update({"chatbot_messages": [HumanMessage(content=response['response'])],
                             'user_messages': [AIMessage(content=response['response'])]})
    return result_state
```
After this repair:

✓ Whether or not there is memory, user_thoughts updated correctly
✓ Clear logic: State updates do not rely on the existence of memory
✓ Preventing data loss

Yes, this is a good catch. 
Can you submit a PR?

hi,bros,
I have already submitted a PR