The embedded model
Every Everlock build embeds **MiniCPM-V 4.6 Thinking**. It is baked into the binary — the same model on every platform, in every container image, with no runtime switch and nothing to download separat
Documentation
Every Everlock build embeds **MiniCPM-V 4.6 Thinking**. It is baked into the binary — the same model on every platform, in every container image, with no runtime switch and nothing to download separat
The 0.9.0 release makes Everlock a git host: repositories are served over HTTP, browsed in a web UI, and built by CI runs that a push starts. It also replaces the two embedded AI models with one that
Everlock embeds its language model in the binary. Until now it embedded one of two. The default build carries SmolVLM-256M, small enough to disappear into the executable. A `qwen3` feature swaps it fo
Everlock runs its AI features on its own inference engine, [**gguf-runner**](https://github.com/apimeister/gguf-runner) — a self-developed, from-scratch GGUF runtime written for this project. It is em