What is AI memory?
Understand the difference between a chat transcript, saved facts, and the context an assistant uses to answer your next question.
Understand AI memory 2 min read
Chat history records the conversation. Memory selects information for later use. Use history when exact wording or the sequence of decisions matters; use a memory record as a starting point for finding relevant context.
A summary might say that a team chose a monthly plan. The next message could have made that choice conditional on a customer interview. If you only read the summary, a provisional choice can look final.
Open the surrounding messages when you are checking a quote, a commitment, a price, or the reason for a decision. A short extracted fact is useful for discovery, but it cannot carry every qualification from a long exchange.
For a tone preference, a short note with an example may be enough. For a disagreement about what was approved, read the original exchange. You do not have to move an entire archive into the next assistant just to keep one settled requirement.
TAKE THIS WITH YOU
An illustrative template. Replace the details with material you are allowed to share.
Find the conversation where we discussed the monthly plan. Show the decision and any conditions attached to it. Check whether a later message changed that decision. Separate quoted text from your summary. If you cannot access the original chat, say so.
USING THIS WITH DRAY
Dray keeps a local chat archive and processes conversation content for memory. What is available depends on capture scope and sync; a connected account does not imply a complete history.
Dray is in beta. Available sources and connections depend on your setup. Read the data notes before granting access.
Product details are grounded in the guides below. Example projects and prompts are illustrative, not customer results.