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ksylvest/omniai

OmniAI standardizes the APIs for multiple AI providers like OpenAI's Chat GPT, Mistral's LeChat, Claude's Anthropic, Google's Gemini and DeepSeek's Chat..

Ruby ◇ anthropic MIT
★254STARS
⑂15FORKS
!1ISSUES
🏆#17,428GLOBAL RANK
🔥10DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

omniai is omniai is an open-source project written in Ruby: OmniAI standardizes the APIs for multiple AI providers like OpenAI's Chat GPT, Mistral's LeChat, Claude's Anthropic, Google's Gemini and DeepSeek's Chat... It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ksylvest/omniai has accumulated 254 GitHub stars and 15 forks. It is written in Ruby, licensed under MIT, and ranks #17,428 globally. It is actively maintained with the latest commit recorded on Oct 30, 2026.”
Repository ksylvest/omniai ↗
Primary Category anthropic
Language & Stack Ruby
Software License MIT
Community Traction ★ 254 stars · ⑂ 15 forks · #17,428 globally
Maintenance ● Active (Last commit: Oct 30, 2026) · 1 open issues
Replaces SaaS Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) →
Target Audience Developers and engineering teams building with Ruby, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

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

Yes, omniai is actively maintained. Continuous telemetry recorded the last code commit on Oct 30, 2026 (14 days ago). Supported by 254 stars and 15 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
Oct 30, 2026
14 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
15 Forks
254 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for ksylvest/omniai
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#981

MOST-STARRED Ruby

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

omniai gained 10 stars in the last 30 days, about 1 a day, and now has 254. It is about 2 years old and has averaged roughly 127 stars a year. It ranks #981 among Ruby repositories and #17,428 across all languages on GitHubRepo.

Trending Record

omniai has maintained a continuous presence across global trending indexes, peaking at #15440. Below is the 30-day activity profile:

💡 Overview

omniai is an open-source project written in Ruby: OmniAI standardizes the APIs for multiple AI providers like OpenAI's Chat GPT, Mistral's LeChat, Claude's Anthropic, Google's Gemini and DeepSeek's Chat..

Engineered for speed, consistency, and developer ease, it solves common hurdles in anthropic, chatgpt, claude. 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 Ruby 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/ksylvest/omniai.git
cd omniai

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Ruby >= 3.1 with Bundler

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

omniai coordinates its core functionality through a modular Ruby 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 omniai.

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 omniai using your package manager: `git clone https://github.com/ksylvest/omniai.git`

2

Initialize your project workspace or configuration file for omniai.

3

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

4

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

👍 Strengths

Active community backing with 254 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Ruby 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 Ruby 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

💡
Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.
Explore all OpenAI API & ChatGPT alternatives →
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👥 Who Should Use This

Developers and engineering teams building with Ruby, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

ksylvest/omniai is currently ranked #17,428 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#17,393 inbjo/MirrorProxy Rust ★ 255 Compare ↗
#17,393 aigc3d/Glob3R Python ★ 255 Compare ↗
#17,393 pullboard-dev/pullboard JavaScript ★ 255 Compare ↗
#17,393 swiftvm-app/swiftvm Swift ★ 255 Compare ↗
#17,393 GNSB/UFC-3-PS4-PORT-LINUX-WINDOWS C++ ★ 255 Compare ↗
#17,428 ksylvest/omniai This Project Ruby ★ 254
#17,428 brezerk/q4wine C++ ★ 254 Compare ↗
#17,428 breily/juno Python ★ 254 Compare ↗
#17,428 kangguru/rack-google-analytics Ruby ★ 254 Compare ↗
#17,428 swganh/mmoserver C++ ★ 254 Compare ↗
#17,428 getrailo/railo Java ★ 254 Compare ↗
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Frequently Asked Questions

What does omniai do? +

OmniAI standardizes the APIs for multiple AI providers like OpenAI's Chat GPT, Mistral's LeChat, Claude's Anthropic, Google's Gemini and DeepSeek's Chat..

Is omniai actively maintained in 2026? +

Yes, omniai is actively maintained. The latest code push was recorded on Oct 30, 2026 (14 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 254 stars and 1 open issues.

What language is omniai written in? +

The primary language is Ruby. Topics include: anthropic, chatgpt, claude, deepseek, gemini.

How many stars does omniai have? +

omniai has 254 stars and 15 forks on GitHub.

How does omniai rank among GitHub repositories? +

With 254 stars, ksylvest/omniai is ranked #17,428 globally across all repositories tracked on GitHubRepo and #981 among Ruby projects.

What license is omniai distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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