Built something? We create video reels & spotlights for GitHub projects.Promote your project →
openvinotoolkit
Home / C++ / model_server

openvinotoolkit/model_server

A scalable inference server for models optimized with OpenVINO™

C++ ◇ ai Apache-2.0
★956STARS
⑂293FORKS
!185ISSUES
🏆#8,846GLOBAL RANK
🔥43DAYS TRENDING
🚀
Maintainer Growth Kit for model_server

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

⚡ Executive Summary & Quick Facts

Authoritative Source

model_server is model_server is an open-source project written in C++: A scalable inference server for models optimized with OpenVINO™..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), openvinotoolkit/model_server has accumulated 956 GitHub stars and 293 forks. It is written in C++, licensed under Apache-2.0, and ranks #8,846 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
Repository openvinotoolkit/model_server ↗
Primary Category ai
Language & Stack C++
Software License Apache-2.0
Community Traction ★ 956 stars · ⑂ 293 forks · #8,846 globally
Maintenance ● Active (Last commit: Nov 11, 2026) · 185 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: 97/100 · Grade A+
✅
Is model_server actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, model_server is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (1 days ago). Supported by 956 stars and 293 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 11, 2026
1 days since last push
Issue Backlog
185 Open Issues
Healthy Issue Cadence
Community Backing
293 Forks
956 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for openvinotoolkit/model_server
CSV
⭐ VIRAL README KIT & BACKLINKS

Add Live Star History & Verified Badges to README.md

Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.

Open README on GitHub ↗
Option 1: Interactive Star History Chart Dynamic SVG

Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.

openvinotoolkit/model_server Star History Preview
markdown
[![Star History Chart](https://githubrepo.cloud/api/badge/chart/openvinotoolkit/model_server.svg?theme=dark)](https://githubrepo.cloud/repo/openvinotoolkit/model_server?utm_source=readme_chart)
Direct SVG Link ↗
Option 2: Verified Live Badges Suite Shields.io Style

Compact badges for your README header. Real-time stars, velocity, health audit, and rank.

Featured badge Stars badge Velocity badge Health badge Rank badge
markdown (all 5 badges)
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/openvinotoolkit/model_server.svg?metric=featured)](https://githubrepo.cloud/repo/openvinotoolkit/model_server?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/openvinotoolkit/model_server.svg?metric=stars)](https://githubrepo.cloud/repo/openvinotoolkit/model_server?utm_source=readme_badge) [![GitHubRepo Velocity](https://githubrepo.cloud/badge/openvinotoolkit/model_server.svg?metric=velocity)](https://githubrepo.cloud/repo/openvinotoolkit/model_server?utm_source=readme_badge) [![Maintenance Health](https://githubrepo.cloud/badge/openvinotoolkit/model_server.svg?metric=health)](https://githubrepo.cloud/repo/openvinotoolkit/model_server?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/openvinotoolkit/model_server.svg?metric=rank)](https://githubrepo.cloud/repo/openvinotoolkit/model_server?utm_source=readme_badge)

Momentum

+12

STARS · LAST 30 DAYS

1

PER DAY

#689

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+12+12+90
Per day211
Forks gained+14+14+15

model_server gained 12 stars in the last 30 days, about 1 a day, and now has 956. It is about 8 years old and has averaged roughly 120 stars a year. It ranks #689 among C++ repositories and #8,846 across all languages on GitHubRepo.

Trending Record

model_server has maintained a continuous presence across global trending indexes, peaking at #2158. Below is the 30-day activity profile:

💡 Overview

model_server is an open-source project written in C++: A scalable inference server for models optimized with OpenVINO™.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, cloud, dag. 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/openvinotoolkit/model_server.git
cd model_server

⚙ 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

model_server 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 model_server.

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 model_server using your package manager: `git clone https://github.com/openvinotoolkit/model_server.git`

2

Initialize your project workspace or configuration file for model_server.

3

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

4

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

👍 Strengths

Active community backing with 938 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
tensorflow/tensorflow ★ 201.6K C++

An Open Source Machine Learning Framework for Everyone

Compare ↗
L
ggml-org/llama.cpp ★ 134.2K C++

LLM inference in C/C++

Compare ↗
R
react/react-native ★ 126.8K C++

A framework for building native applications using React

Compare ↗
E
electron/electron ★ 123.8K C++

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

Compare ↗

👥 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

openvinotoolkit/model_server is currently ranked #8,846 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#8,832 context-labs/whip Go ★ 958 Compare ↗
#8,842 dotnet-bluetooth-le/dotnet-bluetooth-le C# ★ 957 Compare ↗
#8,842 web-token/jwt-framework PHP ★ 957 Compare ↗
#8,842 yuzono/tachiyomi-extensions Kotlin ★ 957 Compare ↗
#8,842 f-io/LIVI Rust ★ 957 Compare ↗
#8,846 openvinotoolkit/model_server This Project C++ ★ 956
#8,846 reidmorrison/semantic_logger Ruby ★ 956 Compare ↗
#8,846 interagent/committee Ruby ★ 956 Compare ↗
#8,846 mourner/simpleheat JavaScript ★ 956 Compare ↗
#8,846 adamralph/bullseye C# ★ 956 Compare ↗
#8,846 maxlerebourg/crowdsec-bouncer-traefik-plugin Go ★ 956 Compare ↗
SPONSORED Trending Developer Tools & Services

Frequently Asked Questions

What does model_server do? +

A scalable inference server for models optimized with OpenVINO™

Is model_server actively maintained in 2026? +

Yes, model_server is actively maintained. The latest code push was recorded on Nov 11, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 956 stars and 185 open issues.

What language is model_server written in? +

The primary language is C++. Topics include: ai, cloud, dag, deep-learning, edge.

How many stars does model_server have? +

model_server has 956 stars and 293 forks on GitHub.

How does model_server rank among GitHub repositories? +

With 956 stars, openvinotoolkit/model_server is ranked #8,846 globally across all repositories tracked on GitHubRepo and #689 among C++ projects.

What license is model_server distributed under? +

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

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.

SPONSORED Sponsored Partner