Manage enhanced workspace memories
Enhanced workspace memories let you save workspace-specific facts and instructions so they stay available in future chats in that workspace. Use them for stable context that should persist, such as client names, audit scope, preferred output format, or rules the assistant should keep in mind.
Workspace memories only apply inside one workspace. For broader workspace setup, see Organizing Work with Workspaces. For longer durable guidance, compare memories with How to use project instructions in workspaces before you decide what to save.
What workspace memories are for
Use workspace memories for short facts or directions that should carry across chat sessions in the same workspace. Each saved memory is added to the AI context for that workspace, so you do not need to repeat the same details every time you start a new conversation.
Good examples include the client name, the framework in scope, how you want controls mapped, or a fixed writing preference. Do not use memories for large notes, changing task context, or one-off requests better handled in the current chat.
Add, edit, or delete a workspace memory
Open the workspace where you want the memory to apply.
Go to the Memories section.
Add the fact or instruction you want to persist.
Save it to make it available in future chats in that workspace.
To update a memory, edit it inline in the same Memories section. To remove it, delete it from the list. Changes apply to that workspace only.
Keep each memory short and specific. Save one fact or rule per memory so it stays easy to review and update.
Ownership and validation
Each workspace memory belongs to the workspace and is tied to the user who created it. The app validates memory entries before saving them.
A single memory can contain up to 500 characters.
Each workspace can store up to 100 memories.
If a memory is too long or the workspace has reached capacity, the app will block the save.
If you cannot save a new memory, shorten the entry or remove older memories you no longer need.
How memories affect the token budget
Saved workspace memories are injected into the AI context for that workspace. More memories means more context is sent with each chat, which uses part of the available token budget.
This usually improves continuity, but too many low-value memories can reduce room for the active conversation. Keep only facts and instructions that are still useful. Move longer durable guidance into How to use project instructions in workspaces if that is a better fit.
Troubleshoot workspace memories
A memory does not persist across chats: Make sure you saved it in the workspace Memories section, not only in the conversation.
A memory is not showing up in responses: Check that you are still in the same workspace and that the memory is still listed there.
You cannot save a memory: Shorten the text if it is over the limit, or delete old memories if the workspace is full.
The AI keeps using outdated context: Edit or delete the old memory so the workspace only keeps current facts.
Next, review Organizing Work with Workspaces to keep each client or project separated, and use project instructions for longer standing guidance that should shape work in that workspace.