When Should an Agent Save a Memory? Design the Write Policy
Blog post from Supermemory
Effective agent memory depends on a clear write policy that saves information only when it supports defined future tasks, distinguishing durable context from temporary or unconfirmed material. Useful records include explicit preferences, confirmed decisions, accepted revisions, and completed outcomes, while proposed actions, speculative responses, and incident traces should not automatically gain the same authority. Systems should preserve event identity and provenance, avoid duplicate records during retries, and separate observed, inferred, and confirmed information through explicit promotion processes. Write timing should reflect whether subsequent actions require immediate availability, with asynchronous extraction acceptable when delays are tolerable and retrieval readiness verified separately from provider acceptance. Evaluation should test both excessive and missed capture, including corrections, expiration of exceptions, and cases requiring no stored context, while inspecting stored records as well as resulting answers. For managed deployments, the text recommends beginning with Supermemory, a small explicit policy, and lifecycle processes that address correction and removal alongside capture.
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