A-TMA resolves LLM agent ghost memory

Trying to fix agent memory by simply deleting old facts is a short-sighted strategy that destroys historical context. A-TMA proves that keeping obsolete facts and dynamically labeling temporal states is the key to preventing "ghost memory" failures. Storing superseded and transitional records allows agents to handle queries about the past, providing a timeline-native approach to long-term memory.

Furthermore, by decoupling the memory architecture into maintenance, retrieval, and resolution phases, developers can systematically identify and fix memory failures rather than relying on noisy end-to-end task accuracy metrics. Retrofitting current state-of-the-art memory systems like Graphiti or Zep with a state-aware overlay like A-TMA shows significant performance improvements on temporal benchmarks.