Memory

Your agent automatically builds long-term memory from conversations, so it can recall relevant context in future interactions. Memory is enabled by default and requires no configuration.

How it works#

As the agent converses with users, it extracts factual information — such as which team owns a service, where a document lives, or what tool is used for a specific workflow. These facts are stored and recalled in future conversations to provide more contextual responses.

The agent extracts "resource → location" style facts only — concrete, referenceable information. It does not store tasks, opinions, or personal data.

Memory types#

Memory is scoped based on where the conversation happens:

Shared memory (public channels)#

When the agent is mentioned in a public channel, extracted facts are stored as shared memory. This memory is available to the agent across all conversations — any user interacting with the agent benefits from it.

For example, if someone mentions in a public channel that "the design system lives in the ui-kit repo," the agent remembers this for everyone.

Personal memory (private DMs)#

When a user sends a direct message to the agent, extracted facts are stored as personal memory tied to that specific user. Only conversations with that same user can access this memory.

For example, if a user tells the agent "I work on the billing team," only that user's future conversations will include this context.

Settings#

Memory is controlled by a single toggle: Enable long-term memory, found in your agent's settings. It is on by default.

When disabled, the agent stops extracting and recalling memories but does not delete existing ones.