Comment by Fosowl

AgenticSeek only have agent communication for planning task but it isn't really communication. Planning task are simply a json list of task and how they related with each other. During execution output from each agents will be saved and "added" to the prompt of the following agents that depends on the information from the previous agent. Really dead simple but work quite well. For memory management, we store message as an array of {"role": "user", "content":...}. Where we take a more innovative approach if how we process message before adding to the history: We remove the <think>..reasoning..</think> pattern to keep only useful informations in the context (we don't really need the reasoning that was done on previous task for the current task). We also have memory summarization that is used when loading a previous session.