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Ray-Hughes
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Ray-Hughes/jevalyn

The decision layer for your Rails app. A Rails-native wrapper around TypeSafe's Jev System One API: typed, calibrated decisions in your control flow.

★20STARS
⑂1FORKS
!0ISSUES
🏆#8,250GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for Ray-Hughes/jevalyn
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,072

MOST-STARRED Ruby

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

jevalyn gained 10 stars in the last 30 days, about 1 a day, and now has 20. It is about 1 year old and has averaged roughly 20 stars a year. It ranks #1,072 among Ruby repositories and #8,250 across all languages on GitHubRepo.

Trending Record

jevalyn has maintained a continuous presence across global trending indexes, peaking at #1067. Below is the 30-day activity profile:

💡 Overview

jevalyn is an open-source project written in Ruby: The decision layer for your Rails app. A Rails-native wrapper around TypeSafe's Jev System One API: typed, calibrated decisions in your control flow.

Engineered for speed, consistency, and developer ease, it solves common hurdles in decision-model, jev, llm. 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/Ray-Hughes/jevalyn.git
cd jevalyn

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Ruby >= 3.1 with Bundler

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

jevalyn 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 jevalyn.

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 jevalyn using your package manager: `git clone https://github.com/Ray-Hughes/jevalyn.git`

2

Initialize your project workspace or configuration file for jevalyn.

3

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

4

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

👍 Strengths

Active community backing with 19 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.

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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

Ray-Hughes/jevalyn is currently ranked #8,250 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#8,195 tonsky/unquarantine Swift ★ 21 Compare ↗
#8,250 Ray-Hughes/jevalyn This Project Ruby ★ 20
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Frequently Asked Questions

What does jevalyn do? +

The decision layer for your Rails app. A Rails-native wrapper around TypeSafe's Jev System One API: typed, calibrated decisions in your control flow.

What language is jevalyn written in? +

The primary language is Ruby. Topics include: decision-model, jev, llm, rails, ruby.

Is jevalyn actively maintained? +

Yes, the last recorded push was on Sep 21, 2026 with 0 open issues being tracked.

How many stars does jevalyn have? +

jevalyn has 20 stars and 1 forks on GitHub.

How does jevalyn rank among GitHub repositories? +

With 20 stars, Ray-Hughes/jevalyn is ranked #8,250 globally across all repositories tracked on GitHubRepo and #1,072 among Ruby projects.

What license is jevalyn distributed under? +

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

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