If you maintain a skill library for long-horizon agents, this one is worth your time. (bookmark it) It discusses one of most common topics I get asked about these days. It shares some good ideas on how to effectively leverage memory to improve the effectiveness of long-horizon agents. Recuris splits agent memory in two. A Working Memory tracks task progress, and an Experiential Memory holds skills. Skill selection is grounded in the current task state instead of the full growing history,…