Why AI assistants forget, and what I learned rebuilding memory from scratch

Short summary

The author rebuilt an AI assistant's memory system from scratch after losing five days to a model that kept repeating wrong answers. They distinguish knowledge gaps (missing documentation) from memory gaps (inability to retain context across or within conversations). The article walks through why naive fixes—bigger context windows, summarization, and similarity-based retrieval—each fail, citing the MemGPT paper showing GPT-4 scored worse than GPT-3.5 on conversation recall from summaries.

• •Distinguishes knowledge gaps from memory gaps in AI assistants
• •Walks through why bigger context, summarization, and naive retrieval each fail
• •Cites MemGPT paper showing smarter models don't fix memory design problems

Generated with AI, which can make mistakes.