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Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton

Go ◇ deepseek Apache-2.0
★513STARS
⑂98FORKS
!128ISSUES
🏆#3,600GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for ome-projects/ome
CSV

Momentum

+13

STARS · LAST 30 DAYS

1

PER DAY

#373

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+7+13+90
Per day111
Forks gained+1+3+10

ome gained 13 stars in the last 30 days, about 1 a day, and now has 513. It is about 1 year old and has averaged roughly 513 stars a year. It ranks #373 among Go repositories and #3,600 across all languages on GitHubRepo.

Trending Record

ome has maintained a continuous presence across global trending indexes, peaking at #2108. Below is the 30-day activity profile:

💡 Overview

ome is an open-source project written in Go: Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton.

Engineered for speed, consistency, and developer ease, it solves common hurdles in deepseek, k8s, kimi-k2. 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/ome-projects/ome@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ome 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 ome.

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 ome using your package manager: `go install github.com/ome-projects/ome@latest`

2

Initialize your project workspace or configuration file for ome.

3

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

4

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

👍 Strengths

Active community backing with 512 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

A
avelino/awesome-go ★ 185.9K Go

A curated list of awesome Go frameworks, libraries and software

Compare ↗
O
ollama/ollama ★ 181.8K Go

Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Compare ↗
G
golang/go ★ 139.1K Go

The Go programming language

Compare ↗
K
kubernetes/kubernetes ★ 128K Go

Production-Grade Container Scheduling and Management

Compare ↗

👥 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

ome-projects/ome is currently ranked #3,600 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,595 frappe/gameplan Python ★ 515 Compare ↗
#3,595 clawdotnet/openclaw.net C# ★ 515 Compare ↗
#3,597 mmtk/mmtk-core Rust ★ 514 Compare ↗
#3,597 ph00lt0/blocklist Adblock Filter List ★ 514 Compare ↗
#3,597 heyderekj/dinky Swift ★ 514 Compare ↗
#3,600 ome-projects/ome This Project Go ★ 513
#3,600 grafana/terraform-provider-grafana Go ★ 513 Compare ↗
#3,602 draganbabic/uni-form JavaScript ★ 512 Compare ↗
#3,602 rust-minidump/rust-minidump Rust ★ 512 Compare ↗
#3,602 antgroup/vsag C++ ★ 512 Compare ↗
#3,602 Ikalus1988/MisakaNet Python ★ 512 Compare ↗

Frequently Asked Questions

What does ome do? +

Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton

What language is ome written in? +

The primary language is Go. Topics include: deepseek, k8s, kimi-k2, llama, llm.

Is ome actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 128 open issues being tracked.

How many stars does ome have? +

ome has 513 stars and 98 forks on GitHub.

How does ome rank among GitHub repositories? +

With 513 stars, ome-projects/ome is ranked #3,600 globally across all repositories tracked on GitHubRepo and #373 among Go projects.

What license is ome distributed under? +

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

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