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redai-studio/Relax

An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale

Python ◇ agentic-rl Apache-2.0
★630STARS
⑂172FORKS
!101ISSUES
🏆#3,274GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for redai-studio/Relax
CSV

Momentum

+16

STARS · LAST 30 DAYS

1

PER DAY

#404

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+16+90
Per day111
Forks gained+1+3+10

Relax gained 16 stars in the last 30 days, about 1 a day, and now has 630. It is about 1 year old and has averaged roughly 630 stars a year. It ranks #404 among Python repositories and #3,274 across all languages on GitHubRepo.

Trending Record

Relax has maintained a continuous presence across global trending indexes, peaking at #2468. Below is the 30-day activity profile:

💡 Overview

Relax is an open-source project written in Python: An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-rl, distributed-training, grpo. 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 Python 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
$ pip install Relax

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Relax coordinates its core functionality through a modular Python 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 Relax.

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 Relax using your package manager: `pip install Relax`

2

Initialize your project workspace or configuration file for Relax.

3

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

4

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

👍 Strengths

Active community backing with 630 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python 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 Python 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 Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

redai-studio/Relax is currently ranked #3,274 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,268 music-assistant/mobile-app Kotlin ★ 633 Compare ↗
#3,270 maccman/bowline Ruby ★ 632 Compare ↗
#3,270 benbrandt/text-splitter Rust ★ 632 Compare ↗
#3,272 argos-ci/argos TypeScript ★ 631 Compare ↗
#3,272 hypervel/hypervel PHP ★ 631 Compare ↗
#3,274 redai-studio/Relax This Project Python ★ 630
#3,274 noahbald/oxvg Rust ★ 630 Compare ↗
#3,274 umputun/agterm Swift ★ 630 Compare ↗
#3,277 stacksjs/stacks TypeScript ★ 629 Compare ↗
#3,277 CommunityToolkit/Aspire C# ★ 629 Compare ↗
#3,279 devagrawal09/jev-review TypeScript ★ 628 Compare ↗

Frequently Asked Questions

What does Relax do? +

An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale

What language is Relax written in? +

The primary language is Python. Topics include: agentic-rl, distributed-training, grpo, multi-agent, multimodal.

Is Relax actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 101 open issues being tracked.

How many stars does Relax have? +

Relax has 630 stars and 172 forks on GitHub.

How does Relax rank among GitHub repositories? +

With 630 stars, redai-studio/Relax is ranked #3,274 globally across all repositories tracked on GitHubRepo and #404 among Python projects.

What license is Relax distributed under? +

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

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