Mixdog

The open-source coding agent that uses 63% fewer tokens.
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_{macOS button is for Apple Silicon (M1 and later). Intel Mac? Download for Intel Mac. Linux button is the x64 AppImage; .deb and ARM64 builds are listed below.}

Website · Benchmarks · Docs

## Highlights - [63% fewer tokens](#benchmarks) than Codex CLI on the same model, at the same success rate. - [**Auto reasoning effort**](docs/auto-reasoning-effort.md) — each message and tool step gets the effort it needs, judged in about 0.1 s by a 150 MB model that runs locally on the CPU. On by default. - Use the **Claude, ChatGPT, Grok, or Muse Code** subscription you already have, API keys, or local models on your own GPU. - Mix models by role and scale from **Solo to Swarm** — a strong model leads while cheaper ones search, edit, and review in parallel. Switch the workflow or mode mid-conversation, and set fallback models for usage limits. - **Bots and rooms** — your own bots with their own models, tools, and permissions, group rooms where they talk together, and a representative bot that sits above the composer on your desktop. - A full workspace: editor, terminals, Git and GitHub, code graph, and language servers, with themes and photo skins. - Keeps working on its own with **Goals, schedules, and webhooks** — and continues from your phone, end-to-end encrypted. - Goes beyond code with **browser and desktop control**, Office and PDF documents, and image and video generation. - Runs on Windows, macOS, and Linux. No config files. ## Installation Download the desktop app: | Platform | Download | | --- | --- | | Windows (x64) | [`mixdog-desktop-win-x64.exe`](https://github.com/tribgames/mixdog/releases/latest/download/mixdog-desktop-win-x64.exe) | | macOS (Apple Silicon) | [`mixdog-desktop-mac-arm64.dmg`](https://github.com/tribgames/mixdog/releases/latest/download/mixdog-desktop-mac-arm64.dmg) | | macOS (Intel) | [`mixdog-desktop-mac-x64.dmg`](https://github.com/tribgames/mixdog/releases/latest/download/mixdog-desktop-mac-x64.dmg) | | Linux (x64, AppImage) | [`mixdog-desktop-linux-x86_64.AppImage`](https://github.com/tribgames/mixdog/releases/latest/download/mixdog-desktop-linux-x86_64.AppImage) | | Linux (x64, .deb) | [`mixdog-desktop-linux-amd64.deb`](https://github.com/tribgames/mixdog/releases/latest/download/mixdog-desktop-linux-amd64.deb) | | Linux (ARM64, AppImage) | [`mixdog-desktop-linux-arm64.AppImage`](https://github.com/tribgames/mixdog/releases/latest/download/mixdog-desktop-linux-arm64.AppImage) | | Linux (ARM64, .deb) | [`mixdog-desktop-linux-arm64.deb`](https://github.com/tribgames/mixdog/releases/latest/download/mixdog-desktop-linux-arm64.deb) | Then sign in with a ChatGPT, Claude, Grok, or Muse Code account, or paste an API key. A five-step tutorial walks you through the rest. > [!NOTE] > The Windows installer and app are code-signed, and the Mac app is signed and > notarized. If SmartScreen still appears, choose **More info → Run anyway**. Or run it in the terminal (Node.js 22.19+ or 24+): ```bash npm install -g mixdog mixdog ```

Supported providers

- Anthropic API keys and Claude account OAuth - OpenAI API keys and ChatGPT/Codex account OAuth - Google Gemini API keys - xAI API keys and Grok account OAuth - Muse Code (Meta) account OAuth - OpenRouter, DeepSeek, and OpenCode Go - Built-in **Local Provider** — download and run models in the app (Windows x64 with an NVIDIA GPU) Cursor, Antigravity (Gemini), and MiMo OAuth are off by default under **Settings → Developer**; using them through OAuth risks account restrictions.

Headless mixdog exec

`mixdog exec` runs one non-interactive, single-model session without personal memory, prior sessions, skills, MCP servers, or plugins: ```bash mixdog exec --provider openai-oauth --model gpt-5.6-sol --effort xhigh "fix the failing test" ``` Web search is off by default (`--web-search` enables it). This does not block shell networking — headless exec is not an offline sandbox. Run `mixdog --help` for the full reference.

## Benchmarks

Bar chart: Mixdog vs Codex CLI on Terminal-Bench 2.1

All 89 Terminal-Bench 2.1 tasks × 5 trials on GPT-5.6 Sol xhigh, scored by the official Harbor verifier.

Mixdog used fewer tokens on 87 of 89 tasks. With Claude Opus 5, it solved 2 more tasks than Claude Code at 19% lower cost. Every verdict, log, and script is published in [`benchmarks/terminal-bench-2.1/`](benchmarks/terminal-bench-2.1/), and [Context efficiency](docs/context-efficiency.md) explains where the savings come from.

Benchmark history

Newest first. Each run links to its details, records, and caveats. | Run | Model · trials | vs | Score | Cost | Final context | Time / trial | |---|---|---|---|---|---|---| | [2026-10-15](benchmarks/terminal-bench-2.1/#bench-log) | GPT-6.1 Sol xhigh · `k=1` | Codex CLI | 77 vs 78 /89 | **−55%** | **−68%** (10.8K vs 33.6K) | 344s vs 380s | | [2026-08-25](benchmarks/terminal-bench-2.1/#gpt-56-sol-xhigh-vs-codex-cli) | GPT-5.6 Sol xhigh · `k=5` | Codex CLI | 385 vs 383 /445 | **−39%** | **−46%** (18.5K vs 34.3K) | 415s vs 437s | | [2026-08-25](benchmarks/terminal-bench-2.1/#claude-opus-5-vs-claude-code) | Claude Opus 5 · `k=1` | Claude Code | 79 vs 77 /89 | **−19%** | **−28%** (27.6K vs 38.2K) | 610s vs 708s | The 2026-10-15 run is the first full run with the [effort judge](docs/auto-reasoning-effort.md) active on OpenAI routes, with web search on for both sides. It is a single pass, so the `k=5` chart above stays the reference.

## Documentation - [Context efficiency](docs/context-efficiency.md) - [Auto reasoning effort](docs/auto-reasoning-effort.md) - [Benchmarks](benchmarks/terminal-bench-2.1/) - [Code Tidy](docs/code-tidy.md) - [Git & GitHub](docs/git-github-integration.md) - [SSH servers](docs/ssh-remote.md) (Korean, with an English summary) - [Language servers](docs/language-servers.md) - [Office runtime](src/runtime/office/README.md) - [Development, configuration, and testing](docs/development.md) ## Feedback Found a bug or missing a feature? [Open an issue](https://github.com/tribgames/mixdog/issues). If Mixdog saves you tokens, a star helps others find it. ## Sponsor Mixdog is free and developed by one person. Sponsorship pays for development time and the model tokens used for testing: [github.com/sponsors/JYP8877](https://github.com/sponsors/JYP8877). ### Supporters Your name here — [become a sponsor](https://github.com/sponsors/JYP8877). ## License Mixdog is licensed under [Apache-2.0](LICENSE). Third-party components retain their respective licenses; see [NOTICE.md](NOTICE.md).