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You consolidate agent memory into a graph by running a command that structures memories into three tiers: instinct, recall, and archive. This uses SQLite and sqlite-vec for graph and vector indexing.

The forgetting curve decays memory noise over time to keep durable facts. This Skill implements the curve within its memory model to actively manage duplication and reduce irrelevant data.

Yes, you need Python, SQLite, and the sqlite-vec extension to run this graph vector memory model. These dependencies handle the underlying database management and vector indexing required for consolidation.

The best way to manage agent memory duplication is to consolidate memories into a structured graph with a forgetting curve. This approach actively manages duplication and filters noise to enhance recall.

Yes, you can use SQLite-vec for vector indexing in agent memory management. This Skill requires SQLite and SQLite-vec specifically to handle database management and build the graph vector model.

You structure agent memory into instinct, recall, and archive tiers by weaving a graph+vector memory model. This Skill automatically consolidates incoming information into these three distinct levels for long-term recall.