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Memories ​

3 min read

Memories are the persistent context of agents: policies, product information, decisions, internal procedures, or customer data. They are managed as documents and can be assigned to one or more agents.

Memory scope ​

TypeUse
CoreThe agent's identity and canonical guidance. The system creates these and they cannot be unassigned.
OwnContext specific to a single agent.
SharedContext reusable by several agents in the organization.

A shared memory is preferable when the same information must remain consistent across agents, such as commercial policies or the service catalogue.

Short- and long-term memory ​

Each memory has a time scope that determines how it takes part in the agent's work:

  • Short term: loaded when the agent starts and forms part of its working context. Use it for instructions, criteria, and information it must always consider.
  • Long term: kept as knowledge for reference and is not included in the initial context. It is appropriate for extensive, historical, or case-specific material.

Write good descriptions

For long-term memories, the description helps identify their content and when they can be useful. State both, for example: “Current prices, discounts, and terms for Spain”.

An agent that maintains its context ​

You do not have to create and update every memory manually. If you enable the Memories and skills capability, the agent can create documents when it detects information worth keeping, update knowledge that has changed, and archive what no longer helps.

This lets context evolve with the agent's real work: a new policy, a decision made in a conversation, or an improved procedure do not have to wait for manual maintenance.

Define the framework, not every document

Keep core memories and access rules under human control. Let the agent manage operational knowledge within those limits. You can block or grant this capability from Behaviour and limits.

Organize and maintain ​

Use folders to group context by area, customer, or team. Search and filters let you find memories by type, folder, or assignment status; archived items temporarily retain removed memories so you can recover them.

Periodically review memories with no assigned agent and those that are outdated. Small, current, well-classified context is usually more useful than an extensive collection without maintenance. When an agent has accumulated many memories, run AI Doctor from its tab: it analyzes its memories together with the rest of its configuration and suggests what to review or adjust.

Changes and versions ​

Each edit creates a version that you can view or restore. Retention and the way versions are kept depend on the plan and are configured in Organization.

Memories and skills ​

Memories

Context: information, criteria, and decisions the agent needs to know.

Skills

Procedures: instructions and resources for carrying out a specific task.