How Redis brings persistent memory to Snowflake Cortex Agents

Redis announced that Redis Agent Memory is available on the Snowflake Marketplace to provide Snowflake Cortex AI agents with persistent long-term memory across conversations. Running within a customer’s Snowflake account through Snowpark Container Services, the offering is designed to avoid data egress and external infrastructure while supporting governed enterprise deployments. It addresses Cortex agents’ loss of context after individual sessions by storing episodic events, semantic business knowledge, user preferences, and procedural workflows, enabling agents to retain definitions, historical explanations, reporting preferences, and repeatable processes. SQL-accessible functions such as store_memory(), search_memory(), and hydrate_prompt() let developers save, retrieve, and assemble relevant memory with working context for model prompts, while user and namespace scoping isolates information across teams and applications. Redis says the application can be installed in minutes with Snowflake Marketplace permissions, uses Snowflake credits through Capacity Drawdown eligibility, and supports integration into existing Cortex agents through service functions and agent tools.

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