Update CtrlExMem_JarvisFlow.py

CtrlExMem_JarvisFlow.py

@@ -7,6 +7,24 @@ from aiflows.base_flows import CircularFlow
 class CtrlExMem_JarvisFlow(CtrlExMemFlow):
     """This class inherits from the CtrlExMemFlow class from AbstractBossFlowModule.
     See: https://huggingface.co/Tachi67/AbstractBossFlowModule/blob/main/CtrlExMemFlow.py
+
+    Take notice that:
+    1. In the controller, we only keep the previous 3 messages for memory management, that will be:
+        a. The assistant message (controller's last command)
+        b. Manually updated new system prompt (new logs, new plans, etc.)
+        c. The user message (result, feedback)
+    2. Each time one executor from the branch is executed, the logs is updated, this means:
+        a. The logs file of Jarvis is updated.
+        b. After MemoryReading at the end of each run of the loop, the logs in the flow_state is updated.
+        c. The next time the controller is called, the updated logs is injected into the system prompts.
+    3. In the prompts of the controller, when the controller realizes one step of the plan is done, 
+        we ask the controller to revise what was done and mark the current step as done. This means:
+        a. The plan file is updated.
+        b. The plan in the flow_state is updated.
+        c. The next time the controller is called, the updated plan is injected into the system prompts.
+    
+    This is basically how the memory management works, to allow for more space for llm execution, and make sure the llm
+    does not forget important information.
     """
     def _on_reach_max_round(self):
         self._state_update_dict({