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kvcache-ai
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kvcache-ai/Mooncake

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

C++ ◇ disaggregation Apache-2.0
★6.7KSTARS
⑂1.3KFORKS
!626ISSUES
🏆#894GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for kvcache-ai/Mooncake
CSV

Momentum

+167

STARS · LAST 30 DAYS

6

PER DAY

#50

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+42+167+540
Per day666
Forks gained+6+26+64

Mooncake gained 167 stars in the last 30 days, about 6 a day, and now has 6.7K. It is about 2 years old and has averaged roughly 3.3K stars a year. It ranks #50 among C++ repositories and #894 across all languages on GitHubRepo.

Trending Record

Mooncake has maintained a continuous presence across global trending indexes, peaking at #456. Below is the 30-day activity profile:

💡 Overview

Mooncake is an open-source project written in C++: Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

Engineered for speed, consistency, and developer ease, it solves common hurdles in disaggregation, inference, kvcache. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in C++ for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/kvcache-ai/Mooncake.git
cd Mooncake

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Mooncake coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with Mooncake.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install Mooncake using your package manager: `git clone https://github.com/kvcache-ai/Mooncake.git`

2

Initialize your project workspace or configuration file for Mooncake.

3

Import Mooncake into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Mooncake --help` to verify successful setup.

👍 Strengths

Active community backing with 6,655 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C++ for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with C++ and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

T
tensorflow/tensorflow ★ 200.6K C++

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L
ggml-org/llama.cpp ★ 129.8K C++

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react/react-native ★ 126.8K C++

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👥 Who Should Use This

Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

kvcache-ai/Mooncake is currently ranked #894 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#889 uxlfoundation/oneTBB C++ ★ 6.8K Compare ↗
#890 ktlint/ktlint Kotlin ★ 6.7K Compare ↗
#891 GreptimeTeam/greptimedb Rust ★ 6.7K Compare ↗
#892 graphhopper/graphhopper Java ★ 6.7K Compare ↗
#893 internetarchive/openlibrary Python ★ 6.7K Compare ↗
#894 kvcache-ai/Mooncake This Project C++ ★ 6.7K
#895 apache/zeppelin Java ★ 6.7K Compare ↗
#896 zhukunpenglinyutong/jetbrains-cc-gui Java ★ 6.7K Compare ↗
#897 x402-foundation/x402 TypeScript ★ 6.7K Compare ↗
#898 django-oscar/django-oscar Python ★ 6.6K Compare ↗
#899 automerge/automerge JavaScript ★ 6.6K Compare ↗

Frequently Asked Questions

What does Mooncake do? +

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

What language is Mooncake written in? +

The primary language is C++. Topics include: disaggregation, inference, kvcache, llm, rdma.

Is Mooncake actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 626 open issues being tracked.

How many stars does Mooncake have? +

Mooncake has 6,678 stars and 1,279 forks on GitHub.

How does Mooncake rank among GitHub repositories? +

With 6,678 stars, kvcache-ai/Mooncake is ranked #894 globally across all repositories tracked on GitHubRepo and #50 among C++ projects.

What license is Mooncake distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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