i-have-adhd is a skill AI agent for To ensure AI-generated code responses are structured clearly and never obscure critical details, supporting better focus and comprehension. Pricing: not stated on the product page. As of 2026-10-27, KanonAgent records 389 upvotes. First indexed by KanonAgent on 2026-07-21.
A tool that restructures AI code assistant responses to prevent key information from being buried, improving readability and focus for developers with attention challenges.
389 upvotes
Tracked by Kanon since Jul 21, 2026
Status basis: npm_downloads_7d gained 10087061 in the last 3d vs 3226139 in the 3d before (ratio 3.1x, threshold 1.5x)
📈 Timelinewhat changed, and when
- Accelerating npm_downloads_7d gained 10087061 in the last 3d vs 3226139 in the 3d before (ratio 3.1x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 3226139 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 3226139 in the last 3d vs 17325 in the 3d before (ratio 186.2x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 17325 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 3226139 in the last 3d vs 17325 in the 3d before (ratio 186.2x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -25614611 per 3d from 52770 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 502666 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -274200 per 3d from 1621983 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 52770 per 3d from 1295013 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -11384656 per 3d from 263352 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -12229773 per 3d from 1413840 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 2609706 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 263352 per 3d from 2954939 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 263352 per 3d from 2954939 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 2609706 in the last 3d vs 1656084 in the 3d before (ratio 1.6x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 3235470 in the last 3d vs 573704 in the 3d before (ratio 5.6x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 2626885 per 3d from 23845542 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 3235470 in the last 3d vs 573704 in the 3d before (ratio 5.6x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 1971036 per 3d from 24431434 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 573704 per 3d from 24249380 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 23845542 in the last 3d vs 977542 in the 3d before (ratio 24.4x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 573704 per 3d from 24249380 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 24431434 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 24249380 in the last 3d vs 60048 in the 3d before (ratio 403.8x, threshold 1.5x)
🔎 Known / Unknown
17 of 23 fields unknown
| 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.
🚀 Breakout logappend-only · timestamped
2026-07-27GitHubflagged at 2.0k stars/day → now ⭐56.2k
Full breakout log →🤖 Agent teardown · skill
Job to be doneTo ensure AI-generated code responses are structured clearly and never obscure critical details, supporting better focus and comprehension.
Who it is forDevelopers
Prerequisitesopen source
Why it matters
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
Signal source: GitHub
Visit official site →
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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: 389 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: Stealth Venture, ECC, orca, Agent-Reach, taste-skill, archify.