Optimizing AI Agent Knowledge Management for Enhanced Performance

This article dives into how to structure knowledge for an AI Agent to improve its output quality through context management. The innovative approach uses a structured folder system to separate knowledge categories, optimizing the AI's efficiency and performance. This could lead to more robust and accurate AI applications.

• •Knowledge is structured into four categories: business, technical, people, and lessons.
• •The Agent loads only the business knowledge at startup and accesses others as needed to save context.
• •Lessons learned are promoted to business rules if they are repeated to improve the system.