User memory is AGNT's per-user fact store: key-value pairs with confidence scores and pgvector embeddings, split into structural keys that always enter the prompt and semantic keys recalled on demand.
What is User Memory?
Quick answer
User memory is AGNT's per-user fact store: key-value pairs with confidence scores and pgvector embeddings, split into structural keys that always enter the prompt and semantic keys recalled on demand.
Full definition
Each fact row carries a key, a value, a confidence between zero and one, a timestamp, and a 1536-dimensional embedding. Structural keys (diet, interests, birthday, fitness goal, preferred booking hour) are always injected into the system prompt. Semantic keys are recalled per conversation through cosine distance search against pgvector.
FAQ
User Memory FAQ.
Common questions about User Memory in the AGNT platform.
User memory is AGNT's per-user fact store: key-value pairs with confidence scores and pgvector embeddings, split into structural keys that always enter the prompt and semantic keys recalled on demand.
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Source: agnt-backend/app/db/models.py
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What is User Memory? User memory is AGNT's per-user fact store: key-value pairs with confidence scores and pgvector embeddings, split into structural keys that always enter the prompt and semantic keys recalled on demand. https://agntdot.com/glossary/user-memory
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Now you know what User Memory means. Try the live scan demo or read the developer docs to go deeper.