I accidentally turned LLM memory into program analysis
Summary
The article by Jordy Zomer explores turning LLM memory into a program-analysis problem using a Datalog-inspired engine called Lemmalog. It argues for maintaining a maintained analytical state to avoid forgetting and hallucinations, and presents benchmarks (LongMemEval and LoCoMo) showing competitive results and significantly reduced context needs compared to full-context prompting. The piece also discusses retrieval, provenance, retractions, and entity resolution, concluding that maintaining state can improve reliability without a larger context window, with the Lemmalog code available on GitHub.