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kitops-ml
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kitops-ml/kitops

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Go ◇ ai Apache-2.0
★1.4KSTARS
⑂186FORKS
!47ISSUES
🏆#4,289GLOBAL RANK
🔥3DAYS TRENDING
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Momentum

+36

STARS · LAST 30 DAYS

1

PER DAY

#494

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+7+36+90
Per day111
Forks gained+1+4+10

kitops gained 36 stars in the last 30 days, about 1 a day, and now has 1.4K. It is about 3 years old and has averaged roughly 475 stars a year. It ranks #494 among Go repositories and #4,289 across all languages on GitHubRepo.

Trending Record

kitops has maintained a continuous presence across global trending indexes, peaking at #5394. Below is the 30-day activity profile:

💡 Overview

kitops is an open-source project written in Go: An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, code, datasets. 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 Go 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
$ go install github.com/kitops-ml/kitops@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

kitops coordinates its core functionality through a modular Go 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 kitops.

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 kitops using your package manager: `go install github.com/kitops-ml/kitops@latest`

2

Initialize your project workspace or configuration file for kitops.

3

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

4

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

👍 Strengths

Active community backing with 1,424 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Go 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 Go 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 Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

kitops-ml/kitops is currently ranked #4,289 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,283 cycfi/q C++ ★ 1.4K Compare ↗
#4,285 tanakh/cmdline C ★ 1.4K Compare ↗
#4,285 apple/swift-system Swift ★ 1.4K Compare ↗
#4,287 aio-libs/aiobotocore Python ★ 1.4K Compare ↗
#4,287 nextcloud/deck JavaScript ★ 1.4K Compare ↗
#4,289 kitops-ml/kitops This Project Go ★ 1.4K
#4,289 testdouble/testdouble.js JavaScript ★ 1.4K Compare ↗
#4,289 database64128/youtube-dl-wpf C# ★ 1.4K Compare ↗
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Frequently Asked Questions

What does kitops do? +

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

What language is kitops written in? +

The primary language is Go. Topics include: ai, code, datasets, devops, devops-tools.

Is kitops actively maintained? +

Yes, the last recorded push was on Oct 6, 2026 with 47 open issues being tracked.

How many stars does kitops have? +

kitops has 1,424 stars and 186 forks on GitHub.

How does kitops rank among GitHub repositories? +

With 1,424 stars, kitops-ml/kitops is ranked #4,289 globally across all repositories tracked on GitHubRepo and #494 among Go projects.

What license is kitops distributed under? +

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

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