Stop Waiting for Continual Learning: Practical Memory Patterns for AI Agents

While model-level learning remains a research frontier, developers should focus on practical agent-level memory patterns like context windows and RAG to build persistent systems. Choosing the right memory architecture is essential for balancing operational costs with the model's ability to maintain focus over long interactions.