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Agent Memory with Engram: A Practical Guide | Weaviate

Sep 22, 2026
Agent Memory with Engram: A Practical Guide | Weaviate
SummaryAI, from the source post

This post provides practical guidance on configuring Engram's memory management. It details how topic descriptions act as extraction prompts, influencing what data is remembered and its shape (e.g., atomic facts vs. prose). It explains the impact of 'what to leave out' rules in descriptions for focused memory capture. The post also elaborates on the configuration fields for topics: Name, Description, User Scoped, Property Scopes, and Bounded. It specifically highlights the guarantees provided by 'Bounded' topics (at most one memory per scope) and 'Scope' (partitioning memories by user or other properties), illustrating their effects with examples of memory updates and counts.

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