local-inference coding-assistants privacy self-hosted proxy

OneInfer Edge routes copilot requests locally

Proxy intercepts IDE copilot traffic, translates requests to local models, returns responses without leaving your machine—no plugin install, no IDE config changes.

June 5, 2026

Summary

Teams with data residency or IP concerns can now use coding assistants without sending prompts to cloud servers. Eliminates the false choice between copilot productivity and code privacy.

Why it matters

Teams with data residency or IP concerns can now use coding assistants without sending prompts to cloud servers. Eliminates the false choice between copilot productivity and code privacy.

Implementation verdict

Replaces manual Ollama/llama.cpp endpoint configuration and fragile IDE extensions. Requires local hardware capable of running inference (8–16GB VRAM baseline), but setup is one-click within the OneInfer Edge app. Worth testing now if you have GPU headroom and privacy constraints; production-ready for teams with self-hosting infrastructure already in place.

Sources

1.OneInfer Edge runs a local proxy in the background. When you click ONEINFER for any supported copilot, that proxy intercepts the copilot's requests, translates them into the correct format for your local model, routes them to the running inference endpoint on your machine, and returns the response, all invisibly, all locally.
2.Supported copilots at launch: OpenCode, Kilo Code, OpenClaw, and Codex.
3.Zero config, No plugins, no IDE changes, no config files. Just click ONEINFER and the local proxy handles everything
4.Your prompts never leave your machine. Inference runs locally, the only cost is electricity and hardware amortization

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