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liustack/modlens

The first vision plugin for DeepSeek Harness, and the vision bridge for every text-only coding agent. Paste an image, get structured JSON evidence (OCR, layout, semantics). | 全网最强 DeepSeek Harness 外挂视觉插件,为 DeepSeek、GLM 等纯文本模型外挂视觉能力,粘贴图片即得结构化 JSON 证据(OCR、版面、语义)。 observed · 2026-08-28

github.com/liustack/modlens · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

78/100

  • Activity 99
  • Release rhythm 87
  • Longevity 13
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 192
  • days_rel: 8
  • days_push: 8
  • n_releases_24m: 78

Full methodology

Adoption not part of the score

3700 stars · 106 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

ModLens is a vision plugin for DeepSeek Harness (dsh) and other text-only coding agents that converts pasted images into structured JSON evidence including OCR, layout, and semantic analysis. It acts as a vision bridge, letting text-only models like DeepSeek and GLM read images directly from the chat.

Use cases

  • give a text-only coding agent the ability to read pasted screenshots
  • extract OCR text and layout from images as structured JSON
  • let DeepSeek or GLM analyze UI mockups and diagrams
  • add vision capabilities to a text-only LLM workflow
  • read images pasted into chat without saving files first
  • convert screenshots into semantic evidence for coding agents

When to choose

  • you use DeepSeek, GLM, or another text-only model in a harness like dsh and need image understanding
  • you want structured JSON output (OCR, layout, semantics) from images inside a coding agent
  • you want zero-friction image input by pasting directly into chat

When to avoid

  • your model already has native multimodal vision capabilities
  • you need general-purpose standalone OCR outside an agent harness
  • you don't use a supported harness such as DeepSeek Harness, Claude Code, or Codex

Facets

plugin · maturity active

ocr image-processing computer-vision agent-framework mcp artificial-intelligence image-processing developer-tools cli cross-platform vision-plugin deepseek-harness text-only-llm image-to- agent-skills claude-code multimodal-bridge ai-agents natural-language-processing nodejs

2 sources

Member repositories

RepositoryRoleHealth v2
liustack/modlensmain78

For agents

markdown · JSON · MCP: product_card(name="liustack/modlens")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem