Databricks(@databricks):Agents shouldn't have to relearn the same facts every session. Agent Memory on Agent Bricks combines session history with distilled long-term memories. A background pipeline extracts durable facts, removes duplicates, and replaces information contradicted by newer conversations. Lakebase provides low-latency access. In our internal benchmarks of enterprise data tasks, this memory architecture tripled agent pass rates while using 31% fewer tokens compared to agents without memory.

Databricks

@databricks

Databricks is the Data + AI company, helping organizations build and scale data and AI apps, analytics and agents.

参加 July 2013

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Databricks@databricks

2026.10.30 14:10

Agents shouldn't have to relearn the same facts every session. Agent Memory on Agent Bricks combines session history with distilled long-term memories. A background pipeline extracts durable facts, removes duplicates, and replaces information contradicted by newer conversations. Lakebase provides low-latency access. In our internal benchmarks of enterprise data tasks, this memory architecture tripled agent pass rates while using 31% fewer tokens compared to agents without memory.