Status basis: daily change 22.0 is -27.1 standard deviations from this entity's own prior mean (49.1±0.0, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 22.0 is -27.1 standard deviations from this entity's own prior mean (49.1±0.0, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 22.0 is -27.1 standard deviations from this entity's own prior mean (49.1±0.0, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 22.0 is -27.1 standard deviations from this entity's own prior mean (49.1±0.0, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 22.0 is -27.1 standard deviations from this entity's own prior mean (49.1±0.0, baseline excludes this point) — unusual, not necessarily adoption
- Cooling github_stars momentum fell to 0 per 3d from 22 (<= 40% of the prior window)
- Anomaly daily change 22.0 is -27.1 standard deviations from this entity's own prior mean (49.1±0.0, baseline excludes this point) — unusual, not necessarily adoption
- Cooling github_stars momentum fell to 0 per 3d from 513 (<= 40% of the prior window)
- Anomaly daily change 22.0 is -27.1 standard deviations from this entity's own prior mean (49.1±0.0, baseline excludes this point) — unusual, not necessarily adoption
- Cooling github_stars momentum fell to 0 per 3d from 513 (<= 40% of the prior window)
- Anomaly daily change 22.0 is -27.1 standard deviations from this entity's own prior mean (49.1±0.0, baseline excludes this point) — unusual, not necessarily adoption
- Cooling github_stars momentum fell to 22 per 3d from 491 (<= 40% of the prior window)
- Anomaly daily change 22.0 is -27.1 standard deviations from this entity's own prior mean (49.1±0.0, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating github_stars gained 513 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated github_stars did not move for 7d, then gained 513 in the last 3d
- Anomaly daily change 22.0 is -27.1 standard deviations from this entity's own prior mean (49.1±0.0, baseline excludes this point) — unusual, not necessarily adoption
- Cooling github_stars momentum fell to 22 per 3d from 491 (<= 40% of the prior window)
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| 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 offers a fully local, high-performance alternative to cloud-based meeting assistants, making it a leading example of decentralized AI in productivity tools.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“100% local processing. no cloud required”— readme
FAQ
What is meetily?
meetily is a privacy-focused AI meeting assistant that performs real-time transcription, speaker separation, and summarization entirely on-device.
What does meetily do?
Perform real-time transcription, speaker diarization, and summarization of meetings using local processing with no cloud dependency.
Why does meetily matter?
It offers a fully local, high-performance alternative to cloud-based meeting assistants, making it a leading example of decentralized AI in productivity tools.
How much does meetily cost?
Not specified
Is meetily open source?
Yes — meetily is open source.
Can I self-host meetily?
Yes — meetily can be self-hosted.
How popular is meetily?
As tracked by KanonAgent: 50 upvotes (first indexed 2026-07-08).
What are the best meetily alternatives?
Similar AI agents tracked by KanonAgent: SoundBoost.ai (formerly Diktatorial), airi, voice clone, agents, Personapp.io, Voxdub.