Status basis: npm_downloads_7d gained 1488 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 1488 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 5535 (<= 40% of the prior window)
- Anomaly daily change 2767.5 is 3.1 standard deviations from this entity's own prior mean (-2228.9±1628.2, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 1488 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 2767.5 is 3.1 standard deviations from this entity's own prior mean (-2228.9±1628.2, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 5535 (<= 40% of the prior window)
- Anomaly daily change 2767.5 is 3.1 standard deviations from this entity's own prior mean (-2228.9±1628.2, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 2767.5 is 3.1 standard deviations from this entity's own prior mean (-2228.9±1628.2, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 2767.5 is 3.1 standard deviations from this entity's own prior mean (-2228.9±1628.2, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 2767.5 is 3.1 standard deviations from this entity's own prior mean (-2228.9±1628.2, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 2767.5 is 3.1 standard deviations from this entity's own prior mean (-2228.9±1628.2, baseline excludes this point) — unusual, not necessarily adoption
- first observed Kanon started keeping permanent history for this agent
- Breaking out Breaking out detected
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | — | unknown | — |
| Pricing model | — | unknown | — |
| Integrations | — | unknown | — |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It fills a critical gap in AI agents by adding visual understanding, making it a foundational component for multimodal AI workflows.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“The FIRST vision plugin for DeepSeek Harness (dsh)”— readme
“one command, `npx -y @deepseek-ai/dsh plugin --profile web add @liustack/[email protected]`”— readme
FAQ
What is modlens?
Modlens is a vision plugin for DeepSeek Harness that turns images like UI screenshots and charts into structured JSON by analyzing text, layout, and meaning.
What does modlens do?
Enable AI coding assistants to interpret image inputs and generate structured code or insights based on visual content.
Why does modlens matter?
It fills a critical gap in AI agents by adding visual understanding, making it a foundational component for multimodal AI workflows.
How much does modlens cost?
Free
Is modlens free?
Yes — modlens has a free tier. Pricing as stated on its own page: Free
Is modlens open source?
Yes — modlens is open source.
How popular is modlens?
As tracked by KanonAgent: 3.0k upvotes (first indexed 2026-08-15).
When did modlens take off?
KanonAgent flagged modlens as breaking out on 2026-08-17 on GitHub (at 462 stars/day that moment). The breakout log is append-only: https://kanonagent.com/rising
What are the best modlens alternatives?
Similar AI agents tracked by KanonAgent: open-design, deer-flow, ruflo, career-ops, archify, cherry-studio.