A fully open source framework for creating RL training swarms over the internet.
⚡ Executive Summary & Quick Facts
Authoritative Sourcerl-swarm is rl-swarm is an open-source project written in Python: A fully open source framework for creating RL training swarms over the internet..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), gensyn-ai/rl-swarm has accumulated 1,675 GitHub stars and 613 forks. It is written in Python, licensed under MIT, and ranks #5,391 globally. It is actively maintained with the latest commit recorded on Oct 28, 2026.”
| Repository | gensyn-ai/rl-swarm ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 1.7K stars · ⑂ 613 forks · #5,391 globally |
| Maintenance | ● Active (Last commit: Oct 28, 2026) · 112 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+Yes, rl-swarm is actively maintained. Continuous telemetry recorded the last code commit on Oct 28, 2026 (1 days ago). Supported by 1,675 stars and 613 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+42
STARS · LAST 30 DAYS
1
PER DAY
#745
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +42 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +3 | +12 | +31 |
rl-swarm gained 42 stars in the last 30 days, about 1 a day, and now has 1.7K. It is about 2 years old and has averaged roughly 838 stars a year. It ranks #745 among Python repositories and #5,391 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#8529
BEST RANK
Oct 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
rl-swarm has maintained a continuous presence across global trending indexes, peaking at #8529. Below is the 30-day activity profile:
💡 Overview
rl-swarm is an open-source project written in Python: A fully open source framework for creating RL training swarms over the internet.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 Python 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
$ pip install rl-swarm⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
rl-swarm 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
Production System Integration
Embed rl-swarm into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install rl-swarm using your package manager: `pip install rl-swarm`
Initialize your project workspace or configuration file for rl-swarm.
Import rl-swarm into your codebase or invoke it directly from your terminal.
Execute your test suite or run `rl-swarm --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
gensyn-ai/rl-swarm is currently ranked #5,391 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
| #5,386 | jpatokal/openflights | PHP | ★ 1.7K | Compare ↗ |
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| #5,390 | bufbuild/protobuf-es | TypeScript | ★ 1.7K | Compare ↗ |
| #5,391 | gensyn-ai/rl-swarm This Project | Python | ★ 1.7K | |
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Frequently Asked Questions
What does rl-swarm do? +
A fully open source framework for creating RL training swarms over the internet.
Is rl-swarm actively maintained in 2026? +
Yes, rl-swarm is actively maintained. The latest code push was recorded on Oct 28, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,675 stars and 112 open issues.
What language is rl-swarm written in? +
The primary language is Python. Topics include: software.
How many stars does rl-swarm have? +
rl-swarm has 1,675 stars and 613 forks on GitHub.
How does rl-swarm rank among GitHub repositories? +
With 1,675 stars, gensyn-ai/rl-swarm is ranked #5,391 globally across all repositories tracked on GitHubRepo and #745 among Python projects.
What license is rl-swarm distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
