---
id: oxbshw/watch-skill/video-memory
version: "e2d39811"
license: MIT
install: manual
updated: 2026-07-12
---

# video-memory — Video Memory maintains a searchable index of every video watched on your machine, preserving frames, transcripts, and extracted answers in persistent storage. Search across all indexed videos by keyword or semantic meaning, drill into specific moments, or synthesize answers from insights spanning multiple videos. Batch-import playlists or folders to build your video library quickly.

Publisher: oxbshw · Stars: 236 · Updated: 2026-07-12

Install (manual): `git clone https://github.com/oxbshw/watch-skill`

## SKILL.md

# Video memory

Every video ever watched on this machine is still here — frames, OCR,
transcripts, and past answers, in one persistent index under
`~/.watch-skill/`. You never have to say "I don't remember that video."
Sessions don't expire it; watching more videos makes it more useful.

## What's in the library?

```bash
watch-skill list
```

Every indexed video: id, title, duration, when it was analyzed. Check
here before watching anything — it may already be in memory from a
previous session.

## Find something across all of it

```bash
watch-skill search "<phrase or keywords>"
```

Hybrid keyword + semantic search across every video, any language
(Arabic folding, CJK and Thai segmentation are handled). Hits come back
with video + timestamp; follow up on a hit with:

```bash
watch-skill ask <video_id> "<the user's actual question>"
watch-skill moment <video_id> <timestamp>
```

## Questions that span videos

"What did we decide about the pricing page across those meetings?" —
questions no single video answers go to the library synthesizer:

```bash
watch-skill library ask "<the question>"
```

It answers from distilled notes across every indexed video, drills into
real evidence, and cites video + timestamp for each finding. When it
says the library does not clearly answer, trust that — do not stitch a
guess together from weak search hits. `watch-skill library overview`
shows what the library knows (videos, note counts, entities recurring
across videos).

For "which video showed X" (locate, not synthesize), plain `search` is
the right tool; then `ask` the hit video.

## Batches build memory fast

A playlist or a folder of recordings goes in as one call —
`watch-skill batch "<playlist-or-folder>"` — and the whole set becomes
searchable memory (see `watching-videos`).


[View on SkillFed](https://skillfed.io/oxbshw/watch-skill/video-memory) · [View on GitHub](https://github.com/oxbshw/watch-skill)