Git for Context: Versioned Temporal Graphs for AI Agent Memory

TL;DR Most agent memory failures look like hallucinations. They are not. The model reasons correctly over a stale fact that the memory layer fed it. That is a database failure, not a model failure. Destructive updates create the State Confusion Problem. The seemingly obvious fix (have an LLM resolve facts at write time) breaks two ways: it silently purges history when the resolution model hallucinates equivalence, and it adds an LLM call to every ingested chunk. The architecture that works…