ai-agent

Mooncake: Deploy Kimi LLM at Scale with High‑Performance C++

Mooncake lets startup founders serve Moonshot AI’s Kimi LLM quickly and efficiently, leveraging RDMA, KV‑cache, and GPU acceleration. Ideal for AI‑heavy products.

From the repo · “Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.”

advanced⏱ 30 minutes💵 Free (free to use, with possible costs for LLM APIs)
6,863 stars+61★ this week1,369 forksC++Guide quality 8/10 · reviewed Oct 6Updated 10/22/2026100% free · open source
What it is

Host a server with pre-trained AI models using Mooncake for your own applications.

Real use case example

"A founder building a niche e-commerce platform uses Mooncake to host a customer chatbot that integrates with their store's database and provides real-time product information. They write a few lines of code to connect Mooncake with their database and chatbot, and they're up and running in 30 minutes. This enables them to provide a better user experience and increase sales."

Best insideClaude DesktopClaude CodeCursor
When to use it
  • •When you need to deploy a large language model for natural language processing tasks
  • •When you want to integrate AI capabilities into your application without managing the underlying infrastructure
  • •When you require a scalable and reliable AI serving platform for your startup
Ready-to-paste prompt
./mooncake_client --host localhost --port 8000 --input 'Write a product description for a new smartwatch'
Heads up: You need to have the Kimi model API key and configure it in the `config.yaml` file before starting the Mooncake server, otherwise, you will encounter an authentication error
Saves to your device
Use with Claude
New

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

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/mooncake && curl -fsSL https://workflowstacks.com/api/skills/mooncake/claude-skill -o ~/.claude/skills/mooncake/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 Mooncake: Deploy Kimi LLM at Scale with High‑Performance C++ works
Codeflow
Free to inspect

Mooncake: Deploy Kimi LLM at Scale with High‑Performance C++ is a very large C++ project (~349k lines across 1148 code files, plus 482 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~349k lines · 1148 code files · days to read — use, don't read
Setup
Install as a skill / plugin
Add it to Claude Code (or your AI tool) with one command — 3 skills inside. Nothing to run yourself.
Runs on
Inside your AI tool
Helper scripts use Python
C++ 79%Python 13%Cuda 2%Shell 2%CMake 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
What's in each folder
docs/Documentation162 files
mooncake-store/Folder667 files
mooncake-reshard/Folder126 files
mooncake-pg/Folder56 files
mooncake-common/Folder55 files
scripts/Helper scripts53 files
mooncake-wheel/Folder50 files
READMEHas testsDocumentedCI checksApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
kvcache-ai
Language
C++
Category
ai-agent
Published
6/25/2024

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