VPet

BongoCat is a native animated desktop companion that reacts to keyboard, pointer, and gamepad input. It is built in C and C++ with SDL3 and OpenGL, supports Windows, macOS, and Linux, and processes keyboard and mouse input locally rather than recording or uploading it. The runtime uses platform-specific input listeners, an atomic input queue, an SDL3 main loop, model-parameter updates, and OpenGL composition for the pet window and overlays. It includes built-in model assets and supports external model sources, including Mver packages, Tauri sources, `.model3.json` files, and image patches. Live2D rendering uses the Cubism SDK when available; without it, the project builds a diagnostic backend. The source code and native runtime are licensed under AGPL-3.0-only, while the default model mode and bundled model assets have separate MIT licensing.

Project AIRI is a self-hosted AI companion for creating virtual characters or digital pets, with Live2D or VRM avatars and real-time voice chat. It connects to multiple model providers and can interact through Discord, Telegram, and games including Minecraft and Factorio. The project supports web, macOS, and Windows, and provides installation options through Winget, Scoop, and Homebrew Cask.

Persona is an open-source, cross-platform desktop character that gives voice conversations an animated visual identity. It listens locally to a selected application's playback process rather than the microphone, using PipeWire playback-stream capture on Linux, WASAPI process-loopback capture on Windows, and a Core Audio process tap on macOS. Imported VRM character models switch between idle and speaking animations, with support for custom VRMA actions, model libraries, click-through desktop-pet behavior, and a local MCP server. Persona does not save audio, produce speech, transcribe content, or send audio over the network. It is distributed as an AppImage or DEB on Linux, an NSIS installer on Windows, and DMG or ZIP packages on macOS.

Sprite Studio is a local-first, open-source desktop AI workbench for creating, animating, testing, organizing, and exporting 2D game art. It combines prompt- and reference-based generation with pixel-scale review, sprite viewing, animation planning, loop testing, rigging, deterministic rendering, and PNG sprite-sheet export with metadata. For animation, the AI plans a complete motion sequence and generates frames sequentially using the source asset's identity and neighboring accepted frames. Its native Rust rig engine uses named joint, anchor, contact, and pivot points plus capsule bones; it assigns opaque pixels to bones, supports planted contacts through analytic two-bone inverse kinematics, and renders frames through bone transforms and nearest-neighbor inverse mapping without image generation. The resulting frames flow into asset organization, quality analysis, the playground, and exports. The application runs on macOS, Windows, and Linux and is built with Tauri, Svelte, Rust, SQLite, and an installed Codex CLI. It is designed for local-first use and does not target Android or iOS.

VirtualApp (VA) is an Android sandbox and virtualization SDK that runs applications inside an isolated internal space without installing them into the Android system. It is intended for integrating into host applications and supports use cases such as app cloning, multiple app instances, internal APK installation, app control, and plugin development. Its framework proxies requests between virtual applications and the Android framework, rewriting installation-related and other app parameters so the system treats the requests as belonging to the host. A native layer redirects file I/O to the virtual installation path and hooks functions that cannot be handled at the framework layer. The runtime includes host, plugin, virtual-app client, VA Server, and child processes; separate main and plugin packages support 32-bit and 64-bit applications. The SDK also provides Java and native hook capabilities, file and component isolation, and APIs for starting the engine, installing a package for a user, and launching an app. The repository states that its public code stopped updating in December 2017 and directs users needing the continuously updated business edition to obtain a commercial license. It describes support for Android 5.0 through 17.0, ARM 32-bit and 64-bit processors, and 32-bit and 64-bit applications.