MemoryRepository for AI NPC

Since the release of ChatGPT, large language models (LLMs) have played a huge role in various industries. In the field of games, we have used LLMs to act as intelligent AI NPC, which makes NPCs more intelligent. However, there is still an obvious obstacle -the LLMs lacks long-term memory and human-like memory mechanism. This flawed memory mechanism prevents NPCs from Long-term interaction and humanized memory based on conversation records. Recognizing the necessity of long-term memory and humanized memory, we proposed MemoryRepository, a memory mechanism for LLMs specifically used in the AI NPC field.MemoryRepository enables the model to have short-term memory and long-term memory. Short-term memory is more detailed and full, while long-term memory are more concise and partial. MemoryRepository is inspired by human memory and forgetting mechanisms. This mechanism allows AI NPCs to forget and summarize past conversation records, thereby providing long-term interaction capabilities. More importantly, this process of forgetting and summarizing the details of short-term memory into general long-term memories makes NPCs more human-like. MemoryRepository is versatile and can adapt to closed source models such as ChatGPT and open source models such as ChatGLM. To Intuitively verify the effectiveness of MemoryRepository in the field of AI NPC, we created an example in which all NPCs are represented by LLMs adapted to MemoryRepository. The example shows that by embedding LLM in MemoryRepository and fine-tuning NPCs character dialogue data, AI NPC can conduct better long-term conversations and appear more human-like during the interaction process. To validate the effectiveness of MemoryRepository, one hundred pieces of NPCs dialogue data were created and then quantitatively analyzed through evaluation indicators. The analysis results show that NPCs equipped with MemoryRepository can summarize and forget past memories, which enables it to have the ability to hold long-term conversations and conduct more human-like conversations.