The challenge of deciding what AI agents should remember
A post argues that the hardest part of agent memory is deciding what to retain—not necessarily storing or querying it—and that this logic is often application-specific.
TLDR
A post argues that standalone memory products are difficult to build because updating and using memory need close integration with the software running an agent. It describes decisions about what to remember as often application-specific and handled through prompting, making them hard to productize. The author sees memory as more useful for repeated tasks than for general-purpose agents, and says it has not yet proved useful for coding agents.
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