Backboard Leads AI Memory Benchmarks by Prioritizing Architecture Over Brute Force

Backboard demonstrates that effective long-term AI memory relies on specialized message-level architecture rather than simply expanding context windows, which tends to degrade accuracy over time. This approach offers a more scalable and cost-effective path for AI assistants to maintain context across multi-session dialogues spanning weeks or months.