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crmne
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crmne/ruby_llm

The Ruby AI framework.

★4.5KSTARS
⑂518FORKS
!10ISSUES
🏆#3,185GLOBAL RANK
🔥44DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

ruby_llm is ruby_llm is an open-source project written in Ruby: The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.. 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), crmne/ruby_llm has accumulated 4,478 GitHub stars and 518 forks. It is written in Ruby, licensed under MIT, and ranks #3,185 globally. It is actively maintained with the latest commit recorded on Oct 20, 2026.”
Repository crmne/ruby_llm ↗
Primary Category agent framework
Language & Stack Ruby
Software License MIT
Community Traction ★ 4.5K stars · ⑂ 518 forks · #3,185 globally
Maintenance ● Active (Last commit: Oct 20, 2026) · 10 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: 92/100 · Grade A
✅
Is ruby_llm actively maintained in 2026?
Verdict: Actively Maintained

Yes, ruby_llm is actively maintained. Continuous telemetry recorded the last code commit on Oct 20, 2026 (23 days ago). Supported by 4,478 stars and 518 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (23 days ago) and healthy issue cadence.

Commit Recency
Oct 20, 2026
23 days since last push
Issue Backlog
10 Open Issues
Healthy Issue Cadence
Community Backing
518 Forks
4.5K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for crmne/ruby_llm
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Momentum

+48

STARS · LAST 30 DAYS

2

PER DAY

#95

MOST-STARRED Ruby

Window7 days30 days90 days
Stars gained+0+48+180
Per day122
Forks gained+0+8+26

ruby_llm gained 48 stars in the last 30 days, about 2 a day, and now has 4.5K. It is about 2 years old and has averaged roughly 2.2K stars a year. It ranks #95 among Ruby repositories and #3,185 across all languages on GitHubRepo.

Trending Record

ruby_llm has maintained a continuous presence across global trending indexes, peaking at #611. Below is the 30-day activity profile:

💡 Overview

ruby_llm is an open-source project written in Ruby: The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-framework, agentic-ai, agents. 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/crmne/ruby_llm.git
cd ruby_llm

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Ruby >= 3.1 with Bundler

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ruby_llm 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 ruby_llm.

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 ruby_llm using your package manager: `git clone https://github.com/crmne/ruby_llm.git`

2

Initialize your project workspace or configuration file for ruby_llm.

3

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

4

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

👍 Strengths

Active community backing with 4,404 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

crmne/ruby_llm is currently ranked #3,185 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#3,185 crmne/ruby_llm This Project Ruby ★ 4.5K
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Frequently Asked Questions

What does ruby_llm do? +

The Ruby AI framework.

Is ruby_llm actively maintained in 2026? +

Yes, ruby_llm is actively maintained. The latest code push was recorded on Oct 20, 2026 (23 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 4,478 stars and 10 open issues.

What language is ruby_llm written in? +

The primary language is Ruby. Topics include: agent-framework, agentic-ai, agents, ai, ai-agents.

How many stars does ruby_llm have? +

ruby_llm has 4,478 stars and 518 forks on GitHub.

How does ruby_llm rank among GitHub repositories? +

With 4,478 stars, crmne/ruby_llm is ranked #3,185 globally across all repositories tracked on GitHubRepo and #95 among Ruby projects.

What license is ruby_llm distributed under? +

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

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