New Feature: Connect your locally hosted AI models to coding copilots with a click in oneinfer-edge We shipped a new feature in oneinfer-edge (fully open source) to connect your locally deployed model to coding copilots like codex, OpenClaw, OpenCode and kilo code etc.... No plugin. No config file. No IDE restart. You click ONEINFER, a local proxy intercepts your copilot's requests, translates the format, routes to your self hosted model, and returns the response. Your IDE doesn't know anything changed. The proxy handles the ugly parts, model name rewriting, response format translation, streaming, so you don't have to spend an afternoon debugging why Codex expects an OpenAI messages format and your local model returns something else. Switch back to original models in one click, mid-session, no restart. For when you actually need it. This is just the start. Support for more agentic harnesses and copilots is already in the works, we're expanding the list based on what the community actually uses. So please voice out what you need in the GitHub issues. oneinfer-edge is the proxy, the hardware compatibility scanner, the inference routing, it's all in the repo. We'd rather you read the code than take our word for it. workflow video - youtu.be/iwXz42PGxJk?si=rk8f… Our repo - github.com/oneinfer/oneinfer… Give it a try, if it saves your time and add value in anyway, please do consider giving us a star. Which copilot support should we add next? Please feel free to comment and let us know your preferences. #AI #TechNews #MachineLearning #OpenSourceAI #opensource #Developer #LLM #GenerativeAI #OpenWeights

New feature update: Cloud hosting is now live in oneinfer-edge. Same app you use to run models locally. You pick a model from the catalog, select a GPU, and deploy. Edge checks if the model fits the hardware before anything spins up, same way it does for local. No failed deployments, no wasted GPU hours. Your cloud deployments sit next to your local ones in the same interface. One place to track costs, monitor usage, and swap GPUs. No CLI. No separate dashboard. PR contributions are most welcome, love to see how you tune it Repo details in the comment section below #OpenSource #AI #MachineLearning #CloudHosting #LLM #MLOps #GPUInference #OneInfer #AIInfrastructure