Coding Free (open-source)

Osaurus

Open-source, native local LLM server for Apple Silicon Macs — runs models on-device via MLX with an OpenAI-compatible API for private coding and automation.

Updated 2026-07-20

7.5
AI Score / 10
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Quick answer

Yes. Osaurus is free to use.

Listed pricing: Free (open-source).

Pricing not re-verified Is it free? Pricing Is it worth it?
Best for
Developers on Apple Silicon Macs who want a private, local LLM server for coding assistants and automation without sending data to the cloud.

Overview

Osaurus is an open-source, native local inference server for Apple Silicon Macs. It loads language models onto your machine and serves them through an OpenAI-compatible API, so agents, editors, and scripts that already speak the ChatGPT API format can point at localhost instead of a cloud endpoint. Everything — prompts, code, files — stays on the device. Nothing leaves your Mac.

Built by Dinoki AI on Apple's MLX framework rather than a generic cross-platform runtime, Osaurus is tuned specifically for the M-series unified memory architecture. That's the pitch against the more familiar Ollama: a lightweight, Swift-native app that targets Mac hardware directly instead of running the same binary everywhere. The OpenAI-compatible endpoint is the important part for developers — it means you can wire it into existing coding assistants, agent frameworks, and automation flows without rewriting your integration.

It's aimed at developers who want offline, privacy-preserving AI for coding and local automation: people working with sensitive codebases, folks on flaky connections, or anyone who'd rather not send every keystroke to a third-party API. The trade-off is the obvious one for local models — you're capped by your Mac's RAM and by whatever open-weight models you can realistically run, which won't match frontier cloud models on the hardest tasks.

Is Osaurus free?

Yes. Osaurus is free to use.

What the free tier covers: Entirely free and open-source; the only cost is the Apple Silicon Mac you run it on.

Listed pricing: Free (open-source).

Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.

Osaurus pricing

Open Source Free

Full local LLM server, MLX inference, OpenAI-compatible API, no usage fees or cloud costs

Pricing on this page has not been re-verified. The entry was last edited on , and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.

Is Osaurus worth it?

Worth it for Developers on Apple Silicon Macs who want a private, local LLM server for coding assistants and automation without sending data to the cloud.

You can test that on the free tier before paying anything. The recorded trade-offs are listed below, and any one of them can settle the question on its own.

The 7.5/10 AI Score is an editorial read of published capability, price and shipping pace. Nobody here has hands-on hours with Osaurus. How we verify.

Worth it if

The strengths recorded against this entry.

  • Keeps all data on-device — strong privacy story for sensitive codebases and offline work
  • Native MLX build targets Apple Silicon directly rather than a generic runtime
  • OpenAI-compatible API drops into existing agents and coding tools with minimal changes
  • Free and open-source, with no per-token or subscription cost
  • Lightweight Swift-native app rather than a heavy cross-platform stack

Not worth it if

Any one of these blocks your use case.

  • Apple Silicon Macs only — no Windows, Linux, or Intel support
  • Local models are capped by your Mac's RAM and won't match frontier cloud models on hard tasks
  • Early-stage open-source project, so expect rough edges and a smaller ecosystem than Ollama
  • Requires comfort with model files, terminals, and API wiring — not a polished consumer app

What sets Osaurus apart

  • Fully local inference — prompts, code, and files never leave the device
  • Native MLX build tuned for Apple Silicon unified memory rather than a generic runtime
  • OpenAI-compatible API lets existing coding agents point at localhost with minimal changes
  • Free and open-source, lightweight Swift-native app

Key features

Fully local inference

Models run entirely on your Mac, so code, prompts, and data never leave the device — useful for sensitive work and offline use.

MLX-native for Apple Silicon

Built on Apple's MLX framework and tuned for M-series unified memory rather than a generic cross-platform runtime, which is where its efficiency claims come from.

OpenAI-compatible API

Exposes an API in the OpenAI format, so existing coding agents and tools can point at localhost with little or no code change.

Open source and free

The full project is open-source with no license fees, letting you inspect, self-host, and modify the server.

How it compares

Learn to use Osaurus

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Related reading

Ready to try Osaurus?

Head to the official site to start with Osaurus — pricing and plans are listed above.

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