Rethinking AI Memory: Why Full Session Records Beat Smart Summaries

Current AI memory systems are fundamentally lossy—they summarize your session before returning it, destroying the reasoning traces and failed attempts that made the interaction valuable. Rather than chase larger context windows, the real solution is to treat memory as a storage problem, not a model problem, using proven technologies like SQLite to preserve full logs on your disk. This lossless approach to AI memory challenges the industry's core assumption that bigger models with more context are the answer.