Continual Learning May Rely on Agents Engineering Their Environment
paraschopra · x · 2026-08-28
The author posits that continual learning for agents can be solved by having them engineer their environment to remember information, rather than relying on context windows. For example, an agent could write a function containing credit card info triggered by payment events, mirroring how humans use browsers or notebooks for memory.
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