Memories
How the assistant retains context across sessions
The assistant builds understanding over time. Findings, preferences, and analytical patterns from past sessions carry forward, so you spend less time re-establishing context and more time on new science.
Building Understanding
Each session adds to what the assistant knows about your work. A conclusion you reached in one session becomes background knowledge in the next. Over time the assistant develops a working picture of your datasets, your analytical style, and the questions you are trying to answer.
What Persists
| Type | Example |
|---|---|
| Findings | "Cluster 4 shows senescence markers" |
| Preferences | Preferred visualization styles |
| Analytical context | Dataset characteristics, prior results |
Findings
When the assistant identifies something meaningful — a differentially expressed gene, a surprising cluster, a quality concern — that finding is stored as a memory. You can reference it in future sessions without re-running the analysis.
Preferences
If you consistently prefer a particular plot style, color scheme, or level of statistical detail, the assistant learns to apply those preferences without being asked.
Analytical Context
Key facts about your datasets — organism, tissue, experimental design, known covariates — persist so the assistant does not lose that knowledge when a session ends.
Managing Memories
You can view, edit, and delete individual memories from the Settings drawer. Removing a memory does not affect past sessions or any underlying data.