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CLUSTER ACTIVITY-DESKTOP-LOCALLY · 5 ENTRIES · EARLIEST ENTRY 2026-10-17

Local desktop AI activity assistants

These are desktop AI assistants that record screen and audio locally, identify speakers, and answer questions about the user's activity from that personal context. The cluster's dated history is too thin to read a shape from, as fewer than five dated entries exist before the index start. Mio leads on traction with 5 stars, while other members show minimal activity.

Entry timeline

ENTRY TIMELINE

SEP 2026: 1OCT 2026: 4
SEP 2026OCT 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 5 unlabelled

Operator · 1 indie · 4 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 5 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01mio5★1 moliveindieDesktop voice assistant that listens to spoken input and responds with spoken answers, storing conversation history locally.
  2. 02marvis0★1 dayliveDesktop AI co-pilot that records screen and audio, identifies speakers, and answers questions locally from activity.
  3. 03marvis0★4 daysliveDesktop AI co-pilot that provides on-device assistance by understanding screen content while keeping user data private.
  4. 04marvis0★3 daysliveDesktop AI assistant that records screen and audio locally to answer questions about the user's activity.
  5. 05marvis0★3 daysliveDesktop AI assistant that records and indexes screen activity and speech locally, then answers questions from that personal context.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.