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OpenCode Senses, An insanely fast and highly accurate vision plugin

Details

External ID
49289890
Source
HN
Company
—
Product
OpenCode Senses, An insanely fast and highly accurate vision plugin
Website domain
github.com
Launched
Aug. 13, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.4731182795698925
Tags
—
Fetched at
Sept. 10, 2026, 5:32 a.m.
Updated at
Sept. 10, 2026, 5:32 a.m.

Description

The vision plugin for OpenCode that truly understands images. Inspect, read, and reason about any screenshot or picture with deeper understanding than any other plugin — fully local, private, and free.Normally, it takes 300ms to analyse one image on my laptop, which is pretty fast for a local vision model. I use moondream2 as my vision model, you can set your custom model like moondream3.1 if you have a good GPU (for comparison I have currently have an RTX 3050). It works cross-platform. Just follow the README. If you like my work, you leave me a tip as an act for supporting open source!!Looking for some feedback! Thank you.NPM: https://www.npmjs.com/package/opencode-senses

Enrichment

Theme
lightweight and on-device AI runtimes
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
fast vision plugin
Manually corrected
False

Could you build this?

Partial While an editor plugin shell is standard, delivering sub-300ms private local vision reasoning on a laptop requires custom quantized model inference engines and local runtime optimizations.

What it would actually take: Requires integrating an optimized local inference backend (such as llama.cpp or ONNX Runtime with hardware acceleration like Metal/CoreML/DirectML) executing quantized vision-language models (e.g., SmolVLM, Moondream, or MiniCPM-V). The hard part is managing memory footprints, zero-copy frame capturing, and low-latency preprocessing to achieve 300ms latency locally on consumer hardware.

Discussion

2 comments analyzed.

Competitors

Other products that read as similar to this one — 35 launches clear the similarity bar, closest 8 shown.

Attention rank: #24 of 36 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 217 days after the earliest competitor.

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