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alibaba/tair-kvcache

Alibaba Cloud's high-performance KVCache system for LLM inference, with components for global cache management, inference simulation(HiSim), and more.

C++ ◇ hisim Apache-2.0
★282STARS
⑂69FORKS
!61ISSUES
🏆#16,431GLOBAL RANK
🔥2DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

tair-kvcache is tair-kvcache is an open-source project written in C++: Alibaba Cloud's high-performance KVCache system for LLM inference, with components for global cache management, inference simulation(HiSim), and more..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), alibaba/tair-kvcache has accumulated 282 GitHub stars and 69 forks. It is written in C++, licensed under Apache-2.0, and ranks #16,431 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
Repository alibaba/tair-kvcache ↗
Primary Category hisim
Language & Stack C++
Software License Apache-2.0
Community Traction ★ 282 stars · ⑂ 69 forks · #16,431 globally
Maintenance ● Active (Last commit: Nov 11, 2026) · 61 open issues
Target Audience Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is tair-kvcache actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, tair-kvcache is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (2 days ago). Supported by 282 stars and 69 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 11, 2026
2 days since last push
Issue Backlog
61 Open Issues
Healthy Issue Cadence
Community Backing
69 Forks
282 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for alibaba/tair-kvcache
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,318

MOST-STARRED C++

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

tair-kvcache gained 10 stars in the last 30 days, about 1 a day, and now has 282. It is about 1 year old and has averaged roughly 282 stars a year. It ranks #1,318 among C++ repositories and #16,431 across all languages on GitHubRepo.

Trending Record

tair-kvcache has maintained a continuous presence across global trending indexes, peaking at #17489. Below is the 30-day activity profile:

💡 Overview

tair-kvcache is an open-source project written in C++: Alibaba Cloud's high-performance KVCache system for LLM inference, with components for global cache management, inference simulation(HiSim), and more.

Engineered for speed, consistency, and developer ease, it solves common hurdles in hisim, kv-cache, 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/alibaba/tair-kvcache.git
cd tair-kvcache

⚙ 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

tair-kvcache 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 tair-kvcache.

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 tair-kvcache using your package manager: `git clone https://github.com/alibaba/tair-kvcache.git`

2

Initialize your project workspace or configuration file for tair-kvcache.

3

Import tair-kvcache into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 282 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
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L
ggml-org/llama.cpp ★ 134.2K C++

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react/react-native ★ 126.8K C++

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electron/electron ★ 123.8K C++

:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS

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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

alibaba/tair-kvcache is currently ranked #16,431 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#16,406 Wawona/Wawona Rust ★ 283 Compare ↗
#16,406 Icy-Cat/x-viral-monitor JavaScript ★ 283 Compare ↗
#16,406 zenolab124/monet Rust ★ 283 Compare ↗
#16,406 k0valik/pi-blackhole TypeScript ★ 283 Compare ↗
#16,406 Asterisk4Magisk/AsteriskMETA Kotlin ★ 283 Compare ↗
#16,431 alibaba/tair-kvcache This Project C++ ★ 282
#16,431 jpwatts/django-positions Python ★ 282 Compare ↗
#16,431 isitchristmas/web JavaScript ★ 282 Compare ↗
#16,431 Chouser/clojure-jna Clojure ★ 282 Compare ↗
#16,431 sandrods/odf-report Ruby ★ 282 Compare ↗
#16,431 bnoordhuis/node-profiler JavaScript ★ 282 Compare ↗
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Frequently Asked Questions

What does tair-kvcache do? +

Alibaba Cloud's high-performance KVCache system for LLM inference, with components for global cache management, inference simulation(HiSim), and more.

Is tair-kvcache actively maintained in 2026? +

Yes, tair-kvcache is actively maintained. The latest code push was recorded on Nov 11, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 282 stars and 61 open issues.

What language is tair-kvcache written in? +

The primary language is C++. Topics include: hisim, kv-cache, kvcache, llm, simulator.

How many stars does tair-kvcache have? +

tair-kvcache has 282 stars and 69 forks on GitHub.

How does tair-kvcache rank among GitHub repositories? +

With 282 stars, alibaba/tair-kvcache is ranked #16,431 globally across all repositories tracked on GitHubRepo and #1,318 among C++ projects.

What license is tair-kvcache distributed under? +

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

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