Say it once.
Find it later.

01 · THE PROBLEM

Your best context is scattered across text boxes.

You explain an idea in ChatGPT, dictate an email in Gmail, leave a note in Slack, and work through a decision in a coding agent. The text gets used once, then becomes difficult to recover because each conversation lives in a different place.

Voice memory changes the unit of storage. The note belongs to you—not to the field where it happened.

02 · TWO WAYS TO RECOVER A NOTE

Search the words.
Or search the meaning.

That distinction matters: retrieval lets you inspect the record. It does not silently turn a fuzzy match into a fact.

03 · ASK WITHOUT LOSING THE SOURCES

An answer is useful only when you can inspect why.

Ask Memory is the synthesis layer. It retrieves relevant notes, answers only from those notes, and attaches source links to the claims it makes. Follow-up questions keep recent conversation context so “What did I say about that?” can resolve what “that” means.

04 · WHAT BECOMES MEMORY

You start the recording.
Audio is not the archive.

1. 1
   Dictate deliberately.

   Use the Mac hotkey, the web app, or a supported capture surface. AudioArcher is not passively listening.

2. 2
   Keep the words.

   The transcript and optional Clean version become the durable note. Successful cloud transcription does not turn raw audio into permanent memory.

3. 3
   Add structure later.

   Title, topic tags, related notes, and a search embedding are generated after the transcript returns so capture stays responsive.

4. 4
   Remain in control.

   Open sources, pin or archive notes, export active memory as Markdown, or delete the account and cloud data.

05 · A WEEK OF CONTEXT

Memory becomes valuable through accumulation.

The value is not a generic daily summary. It is being able to recover the exact thread, inspect the original words, and use that context in the next piece of work.