INMS: Memory Sharing for Large Language Model based Agents
The INMS framework introduces an asynchronous interaction paradigm for multi-agent systems by establishing a shared conversational memory pool. Agents continuously generate and score Prompt-Answer pairs, which are stored and used to dynamically refine a retrieval mediator. This collective knowledge sharing significantly improves agent performance across various complex tasks.