AI memory

Last updated About 2 hours ago

AI memory ​

The AI remembers durable facts from tasks and chats so they don't have to be explained again in every conversation – things like "primary buttons always use the brand colour", "we don't deploy on Fridays" or "customer X is internally called project Y".

You can view, extend and export this under Settings → Personal → AI & connections → Memory.

Two scopes ​

ScopeVisibility
My memoryOnly for you – personal preferences and ways of working.
Team memoryTeam-wide for everyone in the organization – conventions, terminology, standards.

Writing to team memory requires admin/owner.

What gets stored ​

Every entry has a kind so the AI knows how to treat it:

KindExample
Preference"Answer concisely, without a preamble."
Convention"Commit titles start with the item number."
Decision"We stay on Postgres, no Mongo."
Reference"Design files live in the Figma project 'Liza UI'."
Context"The team works in Europe/Berlin."

Each entry also shows where it came from (chat, task, conversation or manual), how often it has been used, and – if set – when it expires.

Adding something yourself ​

Via "+ Add fact" you enter a rule directly instead of waiting for the AI to learn it. You choose the kind and the scope (Only me or Team). Entries can be deleted again when they no longer hold.

Export ​

The memory can be exported as JSON or Markdown – useful for archiving or for handing it to another tool.

Retention

How far back the memory reaches depends on the plan (on Free the last 50 days, unlimited on paid plans) – see Plans & Limits.

For developers

Reachable programmatically via the MCP tools save_memory, search_memory and get_org_overview – see AI memory (MCP).