AI-Native Digital Audio Workstation
An autonomous agent framework for music production — planning, generation, and cross-engine delivery driven by natural language.
SoundX is a full-stack, AI-native Digital Audio Workstation that replaces the conventional click-and-drag DAW workflow with an autonomous agent loop. Users express production intent in natural language; the system handles intent decomposition, multi-step planning, tool orchestration, sandboxed code generation, and iterative refinement — targeting multiple audio engines including Web Audio, Native, Unreal Engine, and Unity.
Express your creative vision in plain language — "create a lo-fi hip hop track with vinyl crackle" or "add a warm analog reverb to the vocals". The system understands musical intent and translates it into actionable workflows, eliminating manual parameter tweaking.
Seamlessly integrate text-to-music, text-to-sound-effect, and vocal generation models. Generate original compositions, realistic instrument samples, or sound design elements directly from descriptive prompts, with full control over style, mood, and technical parameters.
AI-powered mixing that automatically balances tracks, applies EQ, compression, and spatial effects based on genre conventions and artistic intent. Smart mastering delivers studio-grade results with adaptive dynamics, stereo imaging, and loudness normalization to industry standards.
Intelligent organization of tracks, stems, and assets. Automatic version control, stem export, and collaboration features. Semantic search across project history allows you to recall "that bassline we tried last week" using natural language.
The system learns your unique production style through continuous interaction. Over time, it suggests mixing techniques, sound design choices, and arrangement decisions that align with your artistic preferences, creating a personalized production assistant.
- Python ≥ 3.9
- Node.js ≥ 18
- LLM API Key — OpenAI, Anthropic, or compatible provider
git clone https://github.com/Yuan-ManX/SoundX.git
cd SoundX
pip install -r requirements.txt
cd web && npm install && cd ..
cp .env.example .env
# Configure SOUNDX_LLM_API_KEY, SOUNDX_LLM_MODEL, etc.
./start-soundx.shThis project is licensed under the MIT License — see LICENSE for details.
