GUIDE

Agent Memory in Production: Keep Useful Context, Remove the Rest

A practical guide to memory layers, retention, consolidation and deletion for long-running AI agents.

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Agent Memory in Production: Keep Useful Context, Remove the Rest

Memory is an information policy

Long-running agents need more than a larger context window. They need to know what is temporary, what is durable, what is retrievable and what must be deleted.

Four useful layers

Keep current task state separate from durable facts, searchable documents and audit records. Summarize completed work at natural boundaries, attach provenance and define retention rules.

Quality and compliance

Test retrieval after compaction, let users correct memories and remove sensitive data. A memory system should improve consistency without turning every old mistake into a permanent instruction.

Agent Memory Lifecycle: Context, Retrieval, Retention and Deletion | FDE