Mem0's Infer=True Vs Infer=False: The Fact Your AI Support Bot Forgot

Mem0’s `infer` parameter determines whether `add()` stores conversation content verbatim or uses an LLM-driven extraction process: `infer=False` saves each message exactly as supplied, producing a complete but potentially duplicated and increasingly noisy record, while the default `infer=True` identifies, merges, updates, or discards facts to create a condensed memory profile. The text argues that this distinction can cause important details, such as a fee waiver in a support exchange, to be omitted from inferred summaries even though they remain present in verbatim logs. It recommends writing data to separate scoped stores for both modes, using `user_id`-based scoping rather than relying solely on `agent_id`, which may not consistently appear for inferred memories. It also notes that inferred writes are asynchronous, so results should be checked only after processing has settled, ideally by comparing memory IDs before and after a write. A dual-store approach can support efficient day-to-day search through summaries while preserving verbatim records for audits, disputes, and validation, although deletion and retention policies may differ between the two stores.

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