Find moments in your videos. Agent-first CLI for Marlin-2B: dense captioning + temporal grounding, local or hosted.
Project description
marlin
Find moments in your videos. marlin is the agent-first CLI for
Marlin-2B — a 2B video VLM
for dense captioning + temporal grounding. Runs free and local on Apple
Silicon (MLX) or NVIDIA (vLLM) — no API key, no network for inference.
uv tool install nemostation # or: pipx install nemostation
marlin # first run: detect Apple Silicon/NVIDIA + build the engine
marlin find "deer crossing the road" --in ./footage # auto-indexes, then model-verified timestamps
Why timestamps are right here
Search is two-stage: coarse retrieval over timestamped dense captions, then Marlin temporal grounding inside the winning 30s chunks. Grounding short chunks matches the model's training distribution (and sidesteps vLLM's long-video timestamp bug), so spans land where the event actually is.
Agents
marlin skills install # → .claude/skills/ + .agents/skills/
Every verb honors --json (auto when piped), long indexes run with
--async + marlin status <job_id>. See skills/video-search/SKILL.md.
How it runs (auto-detected, local)
| Apple Silicon | NVIDIA | |
|---|---|---|
| engine | SGLang-MLX | vLLM |
| serve | auto-starts on first find (or marlin serve) |
same |
| weights | gated — 1-click access form | gated — 1-click form |
No API key — inference is local. Agents use the same verbs with --json
(clean stdout, progress on stderr). A hosted base_url swap lives in
deploy/ for a future skill; it's not surfaced in the CLI yet.
Speech
marlin index --stt adds faster-whisper speech rows to the same index
(pip install 'nemostation[stt]') — search meetings by what was said and
what happened in one query.
Status
v0.1 — base + video-search skill. Verified end-to-end against a live
endpoint; more skills (footage-catalog, dashcam-event-finder, clip-scorer)
ride the same verbs next.
Project details
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