No signal event on file yet — status is unknown, not "quiet".
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | — | unknown | — |
| Self-hostable | 1 | inferred | — |
| 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.
Its small size and calibrated outputs make it ideal for real-world deployment on mobile and embedded hardware.
Evidence quotesverbatim, from the product’s own materials
“205MB on-device decision model”— description
FAQ
What is Vyne, a 205MB on-device decision model with typed, calibrated outputs?
Vyne is a compact 205MB AI model that runs directly on edge devices, delivering structured and trustworthy decisions with calibrated outputs.
What does Vyne, a 205MB on-device decision model with typed, calibrated outputs do?
Performing reliable, structured decision-making on resource-constrained devices.
Why does Vyne, a 205MB on-device decision model with typed, calibrated outputs matter?
Its small size and calibrated outputs make it ideal for real-world deployment on mobile and embedded hardware.
Can I self-host Vyne, a 205MB on-device decision model with typed, calibrated outputs?
Yes — Vyne, a 205MB on-device decision model with typed, calibrated outputs can be self-hosted.
How popular is Vyne, a 205MB on-device decision model with typed, calibrated outputs?
As tracked by KanonAgent: 2 upvotes (first indexed 2026-09-20).
What are the best Vyne, a 205MB on-device decision model with typed, calibrated outputs alternatives?
Similar AI agents tracked by KanonAgent: AEO Engine, langchain, BIG, autogen, Indexsy, POST BRIDGE.