According to God of Prompt (@godofprompt), advanced AI agents significantly improve their performance by using structured memory systems with external memory layers, such as maintaining persistent note files outside the context window. This approach enables agents to read and write critical information to files like memory.md between tasks, ensuring that essential data is never lost and that the agent can maintain continuity across sessions. This trend highlights a key opportunity for AI developers and businesses to enhance agent reliability and long-term task management by integrating persistent memory architectures into AI workflows (source: God of Prompt, Twitter, Jan 12, 2026).