Continual Learning Explained in 60 Seconds | What's The Tea?
Continual learning lets AI agents update their own prompts, skills, and tools over time from feedback.
“continual learning is when you give the agent the ability to update itself over time, say it's prompts, subagents or skills”
A LangChain explainer breaks down continual learning, where agents modify their own prompts, subagents, skills, and even add/remove tools based on user feedback. It distinguishes runtime updates (mid-session corrections) from background updates (cross-session pattern analysis), noting it suits personalized assistants but is unnecessary for simple deterministic bots. It's a useful conceptual primer on agent self-improvement rather than a major product or research announcement.