Vibra-Ingenn/Janus
- Source
- GitHub
- First trending
- Category
- Model inference
- GitHub stars
- 32
- Main language
- Go
This page introduces an external open-source repository. It is not an HDATF product.

What it does
A single Go binary that runs gguf models on a local machine, using llama.cpp through Vulkan on AMD, Intel or NVIDIA graphics with a CPU fallback, and exposes an OpenAI compatible API for chat completions and models. It swaps models without a restart, splits reasoning output into its own field, and reads the chat template from gguf metadata, with no Python and no Docker required.
How it helps ATF
Harness connects outside runners to carry out AI work, and some work has to finish on a machine inside the plant because the data cannot leave it. One binary that answers an OpenAI shaped API on local hardware is worth comparing when we look at those cases.
License
MIT Permissive. Commercial use and changes are allowed if the copyright notice is kept.
More in this category
- magnitudedev/magnitude
An inference engine for agents that compiles and tunes kernels on the user's hardware. It runs open models on Apple Silicon, NVIDIA, AMD or CPU and connects to existing agents through a desktop app and CLI. - ProjectDMX/DMI
A decoupled, asynchronous observability backend for LLM inference and training that exposes internal model states. It is a research preview with HuggingFace, vLLM and Megatron-LM integrations, and its APIs may change. - ninjahawk/livenerf
A longitudinal benchmark for detecting model capability drift after release. It uses frozen prompts, a pinned CLI, fixed graders and retained raw logs. - deepopen-com/deepopen
A non-autoregressive engine built on Laya for multilingual structured decisions. It performs multidimensional classification in a single forward pass. - basetenlabs/baseten-switch
A local macOS app and gateway routing supported coding harnesses between native providers and Baseten models. It has a global routing switch and per-client model mappings and remains in beta.
Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.