Self-learning AI agents are autonomous systems that observe their environment, make decisions, take actions, and continuously improve through feedback loops rather than explicit programming. They combine machine learning, reinforcement learning, and large language models to adapt over time. The core mechanism involves observing
Table of contents
IntroductionKey TakeawaysWhat Is a Self-Learning AI Agent?How Self-Learning HappensRAG vs Memories vs HistoryMemoryTools to build Self Learning AI Agentn8nLarge Language ModelSupabasePrompt EngineeringOpenAI Agent BuilderChallenges and LimitationsFAQsConclusionResourcesSort: