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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
★675STARS
⑂200FORKS
!156ISSUES
🏆#10,644GLOBAL RANK
🔥42DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

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

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), redai-studio/Relax has accumulated 675 GitHub stars and 200 forks. It is written in Python, licensed under Apache-2.0, and ranks #10,644 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
Repository redai-studio/Relax ↗
Primary Category agentic rl
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 675 stars · ⑂ 200 forks · #10,644 globally
Maintenance ● Active (Last commit: Nov 9, 2026) · 156 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is Relax actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, Relax is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (4 days ago). Supported by 675 stars and 200 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 9, 2026
4 days since last push
Issue Backlog
156 Open Issues
Healthy Issue Cadence
Community Backing
200 Forks
675 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

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

+33

STARS · LAST 30 DAYS

1

PER DAY

#1,504

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+33+90
Per day111
Forks gained+8+23+10

Relax gained 33 stars in the last 30 days, about 1 a day, and now has 675. It is about 1 year old and has averaged roughly 675 stars a year. It ranks #1,504 among Python repositories and #10,644 across all languages on GitHubRepo.

Trending Record

Relax has maintained a continuous presence across global trending indexes, peaking at #1295. 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 #10,644 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,636 microsoft/copilot-camp C# ★ 676 Compare ↗
#10,636 google/jsir C++ ★ 676 Compare ↗
#10,636 PRBonn/rko_lio C++ ★ 676 Compare ↗
#10,636 thsnkhn/harbor Swift ★ 676 Compare ↗
#10,636 zeabur-oss/zeabur Rust ★ 676 Compare ↗
#10,644 redai-studio/Relax This Project Python ★ 675
#10,644 httpmock/httpmock Rust ★ 675 Compare ↗
#10,644 awslabs/ssosync Go ★ 675 Compare ↗
#10,644 cjmellor/level-up PHP ★ 675 Compare ↗
#10,648 phstc/jquery-dateFormat JavaScript ★ 674 Compare ↗
#10,648 NuSkooler/enigma-bbs JavaScript ★ 674 Compare ↗
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Frequently Asked Questions

What does Relax do? +

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

Is Relax actively maintained in 2026? +

Yes, Relax is actively maintained. The latest code push was recorded on Nov 9, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 675 stars and 156 open issues.

What language is Relax written in? +

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

How many stars does Relax have? +

Relax has 675 stars and 200 forks on GitHub.

How does Relax rank among GitHub repositories? +

With 675 stars, redai-studio/Relax is ranked #10,644 globally across all repositories tracked on GitHubRepo and #1,504 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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