Status basis: npm_downloads_7d gained 9789400 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 9789400 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 131228 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 9789400 in the last 3d vs 131228 in the 3d before (ratio 74.6x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 11128397 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 11128397 (<= 40% of the prior window)
- Anomaly daily change 10997169.0 is 5.3 standard deviations from this entity's own prior mean (-2990550.8±2628193.7, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 10997169.0 is 5.3 standard deviations from this entity's own prior mean (-2990550.8±2628193.7, 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 directly addresses a real usability flaw in AI output—information hiding—by enforcing a more human-friendly format.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Run `npm install jsonwebtoken@latest`, then edit `src/auth.ts:42`.”— readme
“A skill for your coding assistant that stops it from burying the answer.”— readme
FAQ
What is i-have-adhd?
A tool that restructures AI code assistant responses to prevent key information from being buried, improving readability and focus for developers with attention challenges.
What does i-have-adhd do?
To ensure AI-generated code responses are structured clearly and never obscure critical details, supporting better focus and comprehension.
Why does i-have-adhd matter?
It directly addresses a real usability flaw in AI output—information hiding—by enforcing a more human-friendly format.
Is i-have-adhd open source?
Yes — i-have-adhd is open source.
How popular is i-have-adhd?
As tracked by KanonAgent: 26.5k upvotes (first indexed 2026-07-21).
When did i-have-adhd take off?
KanonAgent flagged i-have-adhd as breaking out on 2026-07-27 on GitHub (at 2.0k stars/day that moment). The breakout log is append-only: https://kanonagent.com/rising
What are the best i-have-adhd alternatives?
Similar AI agents tracked by KanonAgent: open-design, deer-flow, ruflo, career-ops, archify, cherry-studio.