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
Yes. Osaurus is free to use.
Listed pricing: Free (open-source).
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
| Plan | Price | What's included |
|---|---|---|
| Open Source | Free | Full local LLM server, MLX inference, OpenAI-compatible API, no usage fees or cloud costs |
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
| Tool | Best for | Pricing | Score |
|---|---|---|---|
| Osaurus | Developers on Apple Silicon Macs who want a private, local LLM server for coding assistants and automation without sending data to the cloud. | Free (open-source) | 7.5/10 |
| Cursor vs Cursor → | Professional developers handling complex, multi-file refactors who want AI built into a familiar VS Code-based editor. | Free Hobby + Individual $20/mo + Teams $40/user/mo + Enterprise Custom | 9.5/10 |
| GPT-5.5 | Developers and teams needing a frontier reasoning model for agentic coding workflows and large-codebase context handling. | API: $5/$30 per 1M tokens (in/out). ChatGPT Plus $20/mo, Pro $200/mo | 9.4/10 |
| Claude Code vs Claude Code → | Developers who want an agent that works inside an existing repo and toolchain rather than in a hosted editor, and who already pay for a Claude plan. | Included with Claude Pro $17/mo, Max 5x $100/mo, Max 20x $200/mo, Team and Enterprise plans | 9.3/10 |
Learn to use Osaurus
Step-by-step, each one stamped with the date it was last checked against the docs.
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