Context Is All You Need: How Self-Improving Agents Learn From Their Mistakes
Most AI agents are stateless. They solve problems, forget everything, and start fresh. Self-improving agents flip this model by accumulating context across sessions. This post explores context as the central abstraction that makes cross-session learning possible.