Workspace Memory with Supermemory

We've added workspace memory for Custory AI, powered by Supermemory. AI can now retrieve relevant knowledge from the current workspace so it has more context from earlier conversations, agent work, and connected journey activity when helping your team make decisions. [Open Custory AI →](https://app.usecustory.com)

## What's New

**Workspace-scoped memory.** Custory stores useful AI and workspace context against the workspace it belongs to, not as one global pool. That means the assistant can build continuity around the journeys, decisions, preferences, and follow-up work in the space your team is actually using.

**Relevant retrieval during chat.** When you ask Custory AI for help, it can search workspace memory and bring back the most relevant context for the request. If the chat is tied to a journey, the retrieval can also favor memory connected to that journey before falling back to broader workspace knowledge.

**Supermemory-backed ingestion.** New chat messages and supported workspace context can be synced into Supermemory with metadata like workspace, journey, source type, and source ID. Custory tracks the sync status so memory sources can move through ready, failed, deleted, and related states instead of disappearing into an untracked black box.

**Memory control per chat.** The assistant now includes a Memory toggle. Keeping it on lets Custory AI use workspace context for the current chat. Turning it off skips retrieval for that chat when you want a narrower answer.

## Why it matters

AI is most useful when it works from the same context as the team. Without memory, every request starts closer to a blank page. With workspace memory, Custory AI can carry forward more of what the team has already learned, decided, and discussed.

For lean teams, that means less repeated explanation, fewer lost details, and a clearer path from customer signal to product action. The journey stays closer to a living system your team can build from, not a set of disconnected conversations that have to be reassembled every time.

We've added workspace memory for Custory AI, powered by Supermemory. AI can now retrieve relevant knowledge from the current workspace so it has more context from earlier conversations, agent work, and connected journey activity when helping your team make decisions. [Open Custory AI →](https://app.usecustory.com)

## What's New

**Workspace-scoped memory.** Custory stores useful AI and workspace context against the workspace it belongs to, not as one global pool. That means the assistant can build continuity around the journeys, decisions, preferences, and follow-up work in the space your team is actually using.

**Relevant retrieval during chat.** When you ask Custory AI for help, it can search workspace memory and bring back the most relevant context for the request. If the chat is tied to a journey, the retrieval can also favor memory connected to that journey before falling back to broader workspace knowledge.

**Supermemory-backed ingestion.** New chat messages and supported workspace context can be synced into Supermemory with metadata like workspace, journey, source type, and source ID. Custory tracks the sync status so memory sources can move through ready, failed, deleted, and related states instead of disappearing into an untracked black box.

**Memory control per chat.** The assistant now includes a Memory toggle. Keeping it on lets Custory AI use workspace context for the current chat. Turning it off skips retrieval for that chat when you want a narrower answer.

## Why it matters

AI is most useful when it works from the same context as the team. Without memory, every request starts closer to a blank page. With workspace memory, Custory AI can carry forward more of what the team has already learned, decided, and discussed.

For lean teams, that means less repeated explanation, fewer lost details, and a clearer path from customer signal to product action. The journey stays closer to a living system your team can build from, not a set of disconnected conversations that have to be reassembled every time.