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ome-projects/ome

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
⑂102FORKS
!123ISSUES
🏆#12,206GLOBAL RANK
🔥43DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

ome is 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ome-projects/ome has accumulated 513 GitHub stars and 102 forks. It is written in Go, licensed under Apache-2.0, and ranks #12,206 globally. It is actively maintained with the latest commit recorded on Oct 12, 2026.”
Repository ome-projects/ome ↗
Primary Category deepseek
Language & Stack Go
Software License Apache-2.0
Community Traction ★ 513 stars · ⑂ 102 forks · #12,206 globally
Maintenance ● Active (Last commit: Oct 12, 2026) · 123 open issues
Target Audience Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is ome actively maintained in 2026?
Verdict: Actively Maintained

Yes, ome is actively maintained. Continuous telemetry recorded the last code commit on Oct 12, 2026 (31 days ago). Supported by 513 stars and 102 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (31 days ago) and healthy issue cadence.

Commit Recency
Oct 12, 2026
31 days since last push
Issue Backlog
123 Open Issues
Healthy Issue Cadence
Community Backing
102 Forks
513 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

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

+0

STARS · LAST 30 DAYS

1

PER DAY

#1,368

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+0+0+90
Per day111
Forks gained+0+0+10

ome gained 0 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 #1,368 among Go repositories and #12,206 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 ★ 193.5K Go

A curated list of awesome Go frameworks, libraries and software

Compare ↗
O
ollama/ollama ★ 186.6K Go

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

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G
golang/go ★ 139.9K Go

The Go programming language

Compare ↗
K
kubernetes/kubernetes ★ 128.6K 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 #12,206 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#12,191 web-infra-dev/rstest TypeScript ★ 514 Compare ↗
#12,191 chris-mc1/homeconnect_local_hass Python ★ 514 Compare ↗
#12,191 1mcp-app/agent TypeScript ★ 514 Compare ↗
#12,191 lucasjinreal/Crane Rust ★ 514 Compare ↗
#12,191 a2aproject/a2a-java Java ★ 514 Compare ↗
#12,206 ome-projects/ome This Project Go ★ 513
#12,206 hashicorp/terraform-provider-vault Go ★ 513 Compare ↗
#12,206 beached/daw_json_link C++ ★ 513 Compare ↗
#12,206 gnh1201/welsonjs JavaScript ★ 513 Compare ↗
#12,206 Sidekick-Poe/Sidekick C# ★ 513 Compare ↗
#12,206 FoundryMC/Veil Java ★ 513 Compare ↗
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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

Is ome actively maintained in 2026? +

Yes, ome is actively maintained. The latest code push was recorded on Oct 12, 2026 (31 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 513 stars and 123 open issues.

What language is ome written in? +

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

How many stars does ome have? +

ome has 513 stars and 102 forks on GitHub.

How does ome rank among GitHub repositories? +

With 513 stars, ome-projects/ome is ranked #12,206 globally across all repositories tracked on GitHubRepo and #1,368 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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