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ModelEngine-Group
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ModelEngine-Group/unified-cache-management

Persist and reuse KV Cache to speedup your LLM.

C++ ◇ ascend MIT
★339STARS
⑂121FORKS
!132ISSUES
🏆#4,243GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for ModelEngine-Group/unified-cache-management
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#310

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

unified-cache-management gained 10 stars in the last 30 days, about 1 a day, and now has 339. It is about 1 year old and has averaged roughly 339 stars a year. It ranks #310 among C++ repositories and #4,243 across all languages on GitHubRepo.

Trending Record

unified-cache-management has maintained a continuous presence across global trending indexes, peaking at #1704. Below is the 30-day activity profile:

💡 Overview

unified-cache-management is an open-source project written in C++: Persist and reuse KV Cache to speedup your LLM.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ascend, cuda, deepseek. 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/ModelEngine-Group/unified-cache-management.git
cd unified-cache-management

⚙ 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

unified-cache-management 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 unified-cache-management.

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 unified-cache-management using your package manager: `git clone https://github.com/ModelEngine-Group/unified-cache-management.git`

2

Initialize your project workspace or configuration file for unified-cache-management.

3

Import unified-cache-management into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `unified-cache-management --help` to verify successful setup.

👍 Strengths

Active community backing with 337 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

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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

ModelEngine-Group/unified-cache-management is currently ranked #4,243 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,238 wycats/merb Ruby ★ 340 Compare ↗
#4,238 AzureAD/microsoft-authentication-library-for-java Java ★ 340 Compare ↗
#4,238 cvet/fonline C++ ★ 340 Compare ↗
#4,238 ptr727/PlexCleaner C# ★ 340 Compare ↗
#4,238 richardwilkes/unison Go ★ 340 Compare ↗
#4,243 ModelEngine-Group/unified-cache-management This Project C++ ★ 339
#4,243 attr-encrypted/encryptor Ruby ★ 339 Compare ↗
#4,243 qoomon/maven-git-versioning-extension Java ★ 339 Compare ↗
#4,243 brefphp/laravel-bridge PHP ★ 339 Compare ↗
#4,243 php-casbin/laravel-authz PHP ★ 339 Compare ↗
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Frequently Asked Questions

What does unified-cache-management do? +

Persist and reuse KV Cache to speedup your LLM.

What language is unified-cache-management written in? +

The primary language is C++. Topics include: ascend, cuda, deepseek, dram, gpu.

Is unified-cache-management actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 132 open issues being tracked.

How many stars does unified-cache-management have? +

unified-cache-management has 339 stars and 121 forks on GitHub.

How does unified-cache-management rank among GitHub repositories? +

With 339 stars, ModelEngine-Group/unified-cache-management is ranked #4,243 globally across all repositories tracked on GitHubRepo and #310 among C++ projects.

What license is unified-cache-management distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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