English | 简体中文
A local-first desktop pet powered by MiniCPM. Download, complete the guided setup, and chat with a tiny companion that lives on your desktop.
| Item | Recommended |
|---|---|
| macOS | 14.0+, Apple Silicon (M1/M2/M3/M4), about 2 GB disk space |
| Windows | x64 with Vulkan support, about 2 GB disk space |
| Network | Required on first launch unless you already have a local model file |
macOS Apple Silicon is the primary tested platform. A Windows installer is also available — feedback is welcome.
macOS
MiniCPM Desk Pet-*-arm64.dmg.Applications.If macOS blocks the first launch, right-click the app and choose Open. If needed, remove the quarantine flag:
xattr -cr /Applications/MiniCPM\ Desk\ Pet.app
Windows
.exe installer.MiniCPM Desk Pet includes a complete first-launch guide:
Environment Check -> Model Download -> Model Warm-up -> Ready to Use
The default model is MiniCPM5-1B-GGUF. You can let the app download it automatically, or choose an existing local .gguf file.
Use the floating chat bubble to talk with MiniCPM from your desktop. Once setup is complete, your normal conversations do not need a remote inference service.
Useful shortcuts (macOS uses Cmd, Windows uses Ctrl):
Cmd/Ctrl+Shift+M — open or close the MiniCPM chat bubbleCmd/Ctrl+Shift+T — show or hide thinking modeEsc — close the bubble when input is focusedMiniCPM Desk Pet can stay beside your workspace and react to coding-agent activity: thinking, working, finishing tasks, waiting for attention, or going idle.
The MiniCPM settings page lets you:
The app includes a neko-style persona adapter. You can switch adapters or import your own from Settings -> MiniCPM.
For development setup, packaging, and repository layout, see docs/development.md.
NOTICE.md.This repository is distributed under GNU AGPL-3.0-only.
MiniCPM model weights are downloaded separately and governed by the OpenBMB MiniCPM Model License. Artwork, third-party code, and datasets keep their own notices; see NOTICE.md and clawd-on-desk/NOTICE.md.
JavaScript
90.5%
HTML
3.6%
Python
2.6%
CSS
1.6%
English | 简体中文
A local-first desktop pet powered by MiniCPM. Download, complete the guided setup, and chat with a tiny companion that lives on your desktop.
| Item | Recommended |
|---|---|
| macOS | 14.0+, Apple Silicon (M1/M2/M3/M4), about 2 GB disk space |
| Windows | x64 with Vulkan support, about 2 GB disk space |
| Network | Required on first launch unless you already have a local model file |
macOS Apple Silicon is the primary tested platform. A Windows installer is also available — feedback is welcome.
macOS
MiniCPM Desk Pet-*-arm64.dmg.Applications.If macOS blocks the first launch, right-click the app and choose Open. If needed, remove the quarantine flag:
xattr -cr /Applications/MiniCPM\ Desk\ Pet.app
Windows
.exe installer.MiniCPM Desk Pet includes a complete first-launch guide:
Environment Check -> Model Download -> Model Warm-up -> Ready to Use
The default model is MiniCPM5-1B-GGUF. You can let the app download it automatically, or choose an existing local .gguf file.
Use the floating chat bubble to talk with MiniCPM from your desktop. Once setup is complete, your normal conversations do not need a remote inference service.
Useful shortcuts (macOS uses Cmd, Windows uses Ctrl):
Cmd/Ctrl+Shift+M — open or close the MiniCPM chat bubbleCmd/Ctrl+Shift+T — show or hide thinking modeEsc — close the bubble when input is focusedMiniCPM Desk Pet can stay beside your workspace and react to coding-agent activity: thinking, working, finishing tasks, waiting for attention, or going idle.
The MiniCPM settings page lets you:
The app includes a neko-style persona adapter. You can switch adapters or import your own from Settings -> MiniCPM.
For development setup, packaging, and repository layout, see docs/development.md.
NOTICE.md.This repository is distributed under GNU AGPL-3.0-only.
MiniCPM model weights are downloaded separately and governed by the OpenBMB MiniCPM Model License. Artwork, third-party code, and datasets keep their own notices; see NOTICE.md and clawd-on-desk/NOTICE.md.
JavaScript
90.5%
HTML
3.6%
Python
2.6%
CSS
1.6%