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Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When internet access is unavailable, the client automatically switches to Ollama-backed local models instead of remote ones. - From the user’s perspective, it is the same Claude Code flow, just backed by local inference. In practice, the best-performing model so far has been qwen3-co