The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.
Star History
Momentum
+110
STARS · LAST 30 DAYS
4
PER DAY
#41
MOST-STARRED Ruby
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +28 | +110 | +360 |
| Per day | 4 | 4 | 4 |
| Forks gained | +3 | +10 | +25 |
ruby_llm gained 110 stars in the last 30 days, about 4 a day, and now has 4.4K. It is about 2 years old and has averaged roughly 2.2K stars a year. It ranks #41 among Ruby repositories and #1,168 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#611
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
Optimized execution pipeline written in Ruby for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install ruby_llm using your package manager: `git clone https://github.com/crmne/ruby_llm.git`
Initialize your project workspace or configuration file for ruby_llm.
Import ruby_llm into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ruby_llm --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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 #1,168 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,163 | crate/crate | Java | ★ 4.4K | Compare ↗ |
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| #1,166 | TheoLeeCJ/SemIf-OpenJev | Python | ★ 4.4K | Compare ↗ |
| #1,167 | square/wire | Kotlin | ★ 4.4K | Compare ↗ |
| #1,168 | crmne/ruby_llm This Project | Ruby | ★ 4.4K | |
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Frequently Asked Questions
What does ruby_llm do? +
The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.
What language is ruby_llm written in? +
The primary language is Ruby. Topics include: agent-framework, agentic-ai, agents, ai, ai-agents.
Is ruby_llm actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 5 open issues being tracked.
How many stars does ruby_llm have? +
ruby_llm has 4,416 stars and 506 forks on GitHub.
How does ruby_llm rank among GitHub repositories? +
With 4,416 stars, crmne/ruby_llm is ranked #1,168 globally across all repositories tracked on GitHubRepo and #41 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.
