ai-agent

Kimi-Audio

Kimi-Audio, an open-source audio foundation model excelling in audio understanding, generation, and conversation
4,742 stars+4★ this week378 forksPythonUpdated 6/21/2025100% free · open source
What it does

Kimi-Audio is an open-source audio foundation model that enables startup founders to build applications with audio understanding, generation, and conversation capabilities.

When to use it
  • •When building a voice assistant or chatbot that needs to understand audio inputs
  • •When creating a podcast or audio content platform that requires automatic transcription or summarization
  • •When developing an application that generates music or audio effects
Ready-to-paste prompt
python infer.py --input_audio 'path/to/input/audio.wav' --output_text 'path/to/output/text.txt'
Heads up: The model requires a significant amount of computational resources and memory to train, so ensure you have a suitable GPU and sufficient RAM before attempting to train the model
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/kimi-audio && curl -fsSL https://workflowstacks.com/api/skills/kimi-audio/claude-skill -o ~/.claude/skills/kimi-audio/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Kimi-Audio works
Codeflow
Free to inspect

Kimi-Audio is a medium Python project (~7.9k lines across 47 code files). Setup is light: runs with Docker. Last commit 15 months ago, no license file, no tests found.

Size
Medium codebase
~7.9k lines · 47 code files · ~1 h to skim
Setup
Light setup
Runs with Docker.
Runs on
Python · Docker
No API keys detected
Python 93%Cuda 3%C 2%Shell 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    pyproject.toml
    Dependencies and the commands it exposes
What's in each folder
kimia_infer/Folder37 files
finetune_codes/Folder18 files
test_audios/Folder10 files
assets/Images & static assets4 files
READMENo tests foundDocumentedNo CIDocker readyNo licenseLast update 15 mo ago
Quick Actions
Details
Creator
MoonshotAI
Language
Python
Category
ai-agent
Published
4/25/2025

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/kimi-audio.svg)](https://workflowstacks.com/skills/kimi-audio?utm_source=github&utm_medium=badge)
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