https://github.com/user-attachments/assets/af515dc9-b0fb-4b6a-aaa1-1d82db792ed0

Highlights

• 63% fewer tokens than Codex CLI on the same model, at the same success rate.
• Auto reasoning effort — 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 | | macOS (Apple Silicon) | mixdog-desktop-mac-arm64.dmg | | macOS (Intel) | mixdog-desktop-mac-x64.dmg | | Linux (x64, AppImage) | mixdog-desktop-linux-x86_64.AppImage | | Linux (x64, .deb) | mixdog-desktop-linux-amd64.deb | | Linux (ARM64, AppImage) | mixdog-desktop-linux-arm64.AppImage | | Linux (ARM64, .deb) | 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+):

npm install -g mixdog
mixdog

• 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.

mixdog exec runs one non-interactive, single-model session without personal memory, prior sessions, skills, MCP servers, or plugins:

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

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/, and Context efficiency explains where the savings come from.

Newest first. Each run links to its details, records, and caveats.

| Run | Model · trials | vs | Score | Cost | Final context | Time / trial | |---|---|---|---|---|---|---| | 2026-10-15 | 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 | 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 | 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 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
• Auto reasoning effort
• Benchmarks
• Code Tidy
• Git & GitHub
• SSH servers (Korean, with an English summary)
• Language servers
• Office runtime
• Development, configuration, and testing

Feedback

Found a bug or missing a feature? Open an issue. If Mixdog saves you tokens, a star helps others find it.

Sponsor

Mixdog is free and open source. Sponsorship pays for development time and the model tokens used for testing: github.com/sponsors/JYP8877.

Supporters

Your name here — become a sponsor.

License

Mixdog is licensed under Apache-2.0. Third-party components retain their respective licenses; see NOTICE.md.