Status basis: npm_downloads_7d gained 5 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 5 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 5 in the last 3d vs 2 in the 3d before (ratio 2.5x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 11 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 30 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -47 per 3d from 94 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 3 per 3d from 28 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 30 in the last 3d vs 1 in the 3d before (ratio 30.0x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 3 per 3d from 28 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -26 per 3d from 69 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -9 per 3d from 67 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 1 per 3d from 67 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 1 per 3d from 67 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 67 in the last 3d vs 2 in the 3d before (ratio 33.5x, threshold 1.5x)
- Anomaly daily change 68.0 is 3.9 standard deviations from this entity's own prior mean (-1.0±17.6, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 67 in the last 3d vs 43 in the 3d before (ratio 1.6x, threshold 1.5x)
- Anomaly daily change 68.0 is 3.9 standard deviations from this entity's own prior mean (-1.0±17.6, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to 3 per 3d from 43 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 67 in the last 3d vs 43 in the 3d before (ratio 1.6x, threshold 1.5x)
- Anomaly daily change 68.0 is 3.9 standard deviations from this entity's own prior mean (-1.0±17.6, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 43 in the last 3d vs 10 in the 3d before (ratio 4.3x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -19 per 3d from 72 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 43 in the last 3d vs 10 in the 3d before (ratio 4.3x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -25 per 3d from 76 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 10 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
| Machine-callable | — | unknown | — |
| Open source | — | unknown | — |
| 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 gap in development workflows by turning AI-assisted coding into structured, reviewable knowledge, improving team learning and continuity.
FAQ
What is AiScribe?
AiScribe automatically logs and summarizes AI coding sessions, helping developers review, archive, and share code changes over time.
What does AiScribe do?
Automatically record and summarize code changes to support team retrospectives, knowledge sharing, and onboarding.
Why does AiScribe matter?
It fills a gap in development workflows by turning AI-assisted coding into structured, reviewable knowledge, improving team learning and continuity.
How much does AiScribe cost?
Free
Is AiScribe free?
Yes — AiScribe has a free tier. Pricing as stated on its own page: Free
How popular is AiScribe?
As tracked by KanonAgent: 2 upvotes (first indexed 2026-08-17).
What are the best AiScribe alternatives?
Similar AI agents tracked by KanonAgent: deepseek-harness, gemini-cli, Codédex, LLM Gateway, oh-my-openagent, goose.