MuScriptor

Mousiki is a keyboard-driven terminal music player (TUI) for browsing and playing local music files or searching and streaming online tracks through yt-dlp. It provides word-by-word synchronized lyric highlighting, an FFT spectrum visualizer, waveform rendering, spinning-disk artwork, and queue controls for shuffling, repeating, and track management. Colors, animations, visualizer behavior, hotkeys, and local music paths are configured through a file in the user's home configuration directory. It has native support for Linux, macOS, and Android through Termux; Windows support is unverified. Building requires CMake, a C++17 compiler, FFmpeg, yt-dlp, and the Python syncedlyrics package, and the project is licensed under Apache License 2.0.

mu (μ) is a coding agent with a judgment kernel, built on pi and AionUi. A small judge handles bounded decisions around context admission, command risk and approval, task framing, memory, completion, drift, browser actions, and multi-agent coordination, while the main model performs the coding work. Each decision can be active, shadow, or off and can use Jev, the local Laya judge, or another LLM; verdicts, probabilities, and timings are recorded in a local ledger that can be inspected from the command line or desktop app. The system admits tool output chunk by chunk, archives or removes stale context, applies rule-based safety checks before judgment, and uses a shared board to route findings among non-editing sub-agents. It provides an npm-installed command-line interface and a native desktop app, supports model-provider connections and importing Claude Code or Codex conversations, and states that it is in early development with no release yet; names, settings, and formats may change.

Qwen Scribe is a private, local transcription and system-wide dictation application for Apple Silicon Macs. It runs Qwen3-ASR through mlx-qwen3-asr on the Mac's Metal GPU, keeping audio and transcripts on the computer without an account, API key, or cloud service. Users can drag audio or video into a local web interface, transcribe with automatic or forced language selection, vocabulary hints, word timestamps, and SRT export, and search or export local transcript history. A menu-bar helper provides push-to-talk dictation in text fields, displaying listening and transcription states in a non-focus-stealing HUD before pasting the result at the cursor. The project requires macOS 14 or newer, Apple Silicon, Python 3.12 or newer, and ffmpeg for non-WAV audio and video. It offers Qwen3-ASR 1.7B and 0.6B model options; model weights are downloaded separately and require roughly 3.4 GB or 1.2 GB of unified memory respectively, in addition to application overhead. It is distributed as a downloadable beta Mac app or can be built from source; the repository describes the project as version 0.2.1-beta.1.

MiniMax Music 3 is a music-generation model from MiniMax AI that creates complete songs of up to five minutes from lyrics and a music description. Lyrics can use section tags such as verse, chorus, bridge, instrumental, solo, and outro; the music description specifies style, emotional progression, vocals, instrumentation, arrangement, and production. A structured-caption format can organize these instructions into global metadata, vocal details, and arrangement sections. The model uses a hierarchical autoregressive hybrid architecture: an 8B Global LLM predicts the first residual-vector-quantization codebook frame by frame to model long-range musical structure, while a 0.6B Local LLM predicts the remaining acoustic codebooks within each frame. Its continuous hidden-state synthesis module combines the two models' final hidden states with Flow Matching and Flow-VAE to produce 32 kHz, 16-bit stereo WAV audio, preserving information for vocal articulation, instrumental texture, and temporal continuity.

YuE2 Studio is a Windows desktop application for local AI song generation. It takes a musical style and lyrics, uses YuE2 to compose a melody and chords as ABC notation, engraves the result as sheet music, and renders the composition as a full song with vocals. The score can be edited and rendered again with different sounds, while saved audio codes support exact replay and variation without recomposing. The studio also supports score-first composition, melody transcription for covers through SheetSage2, lyric-level karaoke timing, six-stem separation, audio-to-MIDI conversion, LoRA loading and training, audio processing with VST3 plugins, and an optional local or OpenRouter writing assistant. It can be controlled by AI agents through a local MCP server. It is distributed as a native Windows installer with auto-update or a portable folder and does not require Python or Node.js at runtime. Generation runs offline through the bundled yue2.cpp engine on NVIDIA, AMD, or Intel GPUs, with Vulkan support for the latter two described as experimental; CPU execution is also available. The studio is MIT-licensed, while the YuE2-3B, YuE2 VAE, and SheetSage2 models are CC BY-NC 4.0 and restrict generated songs to non-commercial use unless other terms are obtained.