Glossary

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Glossary / Evaluation and implementation guide

Agent Memory

Agent memory is the persistent information an AI agent retains beyond a single conversation or task.

It can include account facts, past interactions, learned preferences, and summaries that the agent recalls when a new task begins.

A practical example

Example: an agent that researched an account in March recalls those findings in June when drafting follow-up for a renewed inquiry, without the rep re-entering context or re-running research.

What to evaluate before investing

  • Can you inspect and edit what an agent has stored, so incorrect remembered facts can be corrected?
  • Is memory scoped deliberately, for example per account or per workspace, so one customer's context does not leak into another's?
  • Does memory have retention rules and expiry, so stale information does not persist indefinitely?

Limitations and tradeoffs

Tradeoff: persistent memory improves continuity but can preserve outdated or wrong information that quietly shapes later outputs. Budget for review and pruning, not just storage.

Plan your next step with MeshLine

Connect this decision to your automation, organic marketing and customer lifecycle management. In a MeshLine demo, discuss your existing tools, the scope you need and how to measure the result.