Show HN: AI search for every photo and every frame of video on macOS
SCM — Screen Memories Deep AI search for every photo and every frame of video in any folder on macOS. Local-first — no accounts, no cloud, no uploads. What makes it different Search like you think — describe a memory in plain language; a local vision model does the rest.
- ▪SCM — Screen Memories Deep AI search for every photo and every frame of video in any folder on macOS.
- ▪Local-first — no accounts, no cloud, no uploads.
- ▪What makes it different Search like you think — describe a memory in plain language; a local vision model does the rest.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,512 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/allenv0/SCM |
| Publication time | Sun, 04 Oct 2026 09:24:52 +0000 |
| Retrieval time | 2026-10-04T09:38:37.386Z |
| Last seen | 2026-10-04T09:38:37.386Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | zbIpGXSu4Fhv · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
SCM — Screen Memories Deep AI search for every photo and every frame of video in any folder on macOS. Local-first — no accounts, no cloud, no uploads. Inference runs on your Mac. What makes it different Search like you think — describe a memory in plain language; a local vision model does the rest. Video, down to the moment — scenes are segmented and embedded, so you land on the shot, not just the file. Text and dialogue too — OCR over visible text; exact spoken-line search via Whisper, each as its own mode. Your tabs, your prompts — save any query as a tab; Screenshots and Email tabs are toggleable. Self-maintaining library — watched folders auto-import, content hashes dedupe renames, and model switches re-embed in the background without blocking search.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.