Observed arrival · 2026-10-10
Framegaze gives video-analysis models a rewind button
Framegaze describes a local-first MCP server that helps language models inspect video frames, audio, and speech on a shared timeline.
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- Developers building video-capable AI workflows
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- The project reports 83% strict event detection on 12 scripted clips, and explicitly says this is not an independent evaluation.
Field notes
The described workflow combines per-frame visual checks with speech, sound labels, loudness, and frequency-band attention. For follow-up inspection, it offers separate requests for dense frames over a span, audio and words over time, or one close-up frame. The benchmark uses scripted flashes, objects, beeps, bangs, and paired picture-and-sound events; its results are explicitly presented as internal rather than independent.
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