Instead of storing agent experiences as text, storing them as executable code lets agents reuse and improve solutions reliably across different tasks and systems.
AgentFactory is a framework that helps AI agents learn and improve by saving successful task solutions as reusable Python code (subagents) rather than just text descriptions. These saved subagents get refined over time based on how well they work, creating a growing library that makes future similar tasks easier to solve without human help.