QVAC vs LocalAI
QVAC
Open-source ecosystem for local-first peer-to-peer AI on every platform.
LocalAI
A self-hosted, OpenAI-compatible server covering text, audio, images and embeddings.
Key differences
LocalAI and QVAC cover a comparable range of tasks: text generation, transcription, speech synthesis, image generation, embeddings and vision, with peer-to-peer inference on both sides. LocalAI presents them behind an OpenAI-compatible HTTP API. QVAC presents them as typed function calls inside an application.
The deployment models differ. LocalAI runs as a server, from Docker or a binary, that applications connect to as clients, and it scales horizontally behind PostgreSQL and NATS. QVAC runs in the application process, so there is no service to host, monitor or restart.
Platform coverage follows from that. A server needs a host to run on, and LocalAI targets Linux, macOS and Windows. QVAC runs the same code on iOS and Android, where an application cannot assume a local server is present.
This page compares LocalAI v4.9.0, released 20 August 2026, against QVAC 0.18.2, meaning the SDK together with the Fabric inference engine at v10297.1.1. Every row was checked against the project's own documentation and release notes on 4 September 2026. Both projects move quickly, so check the current release before you make a decision on either one.
Feature matrix
Feature
QVAC
LocalAI
PLATFORMS
macOS
YesYesWindows
YesYesLinux
YesYesAndroid
YesiOS
YesAI TASKS
Text generation
YesYesTranscription
YesYesTranslation
YesImage generation
YesYesOCR
YesText-to-speech
YesYesRUNTIME SUPPORT
Node.js
YesVia HTTP
Bare
YesExpo
YesHTTP server
YesYesCLI
YesYesP2P
Peer discovery
YesYesInference delegation
YesYesEncrypted transport
YesYesMOBILE SUPPORT
On-device inference
YesLoRA fine-tuning on mobile
YesDesktop only
Mobile SDK
YesLICENSING
License
Apache 2.0
MIT
Open weights tooling
YesYesWhen to choose QVAC
You are shipping an application rather than hosting a service.
You target iOS or Android.
You want typed function calls in place of HTTP requests.
You need fine-tuning to run on the end user's device.
When to choose LocalAI
You want one endpoint serving a team or a fleet.
Your stack is already shaped around the OpenAI API.
You want Docker, Kubernetes and horizontal scaling.
You need vLLM or transformers backends behind one API.
Compare
Ready to build with QVAC?
One SDK, every platform, no rent. Grab it and ship your own local-first AI.
npm install @qvac/sdk