AgentIndex icon
AgentIndex
rllm logo
rllm
★ 5.9k
vs
skrl logo
skrl
★ 1.1k

rllm vs skrl

rllm: rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.; skrl: skrl is an open-source, modular Reinforcement Learning library implemented in Python, supporting PyTorch, JAX, and NVIDIA Warp. It focuses on modularity, readability, simplicity, and transparent algorithm implementation, also supporting various environment interfaces like Gym, Gymnasium, and Isaac Lab.

01

TL;DR

rllm logo
rllmLLM Infra · ★ 5.9k

Training powerful coding models for tasks like code generation and bug fixing.

Read rllm full review →
skrl logo
skrlLLM Infra · ★ 1.1k

Developing and testing new Reinforcement Learning algorithms

Read skrl full review →
02

Side-by-Side Comparison

Field
rllm logorllm
skrl logoskrl
Category
LLM Infra
LLM Infra
Stars
★ 5.9k
★ 1.1k
License
Apache-2.0
MIT
Install Command
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
pip install skrl
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Reinforcement Learning, Language Agents, LLM
Reinforcement Learning, Python, PyTorch
03

Features

rllm logorllm
01Open-source framework for reinforcement learning-based post-training of language agents.
02Supports building, training, and deploying custom agents and environments.
03Offers multiple training backends including 'verl' and 'tinker'.
04Enables LoRA and VLM training for advanced models.
05Includes AgentWorkflowEngine for training over arbitrary agentic programs.
skrl logoskrl
01Modular and extensible design
02Transparent algorithm implementation
03Multi-framework support (PyTorch, JAX, NVIDIA Warp)
04Compatibility with various environment interfaces (Gym, Gymnasium, PettingZoo, ManiSkill)
05Simultaneous training in NVIDIA Isaac Lab and MuJoCo Playground with scope-based resource sharing
04

Use Cases

rllm logorllm
↳Training powerful coding models for tasks like code generation and bug fixing.
↳Developing sophisticated software engineering agents for automated tasks.
↳Building and evaluating multi-agent systems using reinforcement learning techniques.
skrl logoskrl
↳Developing and testing new Reinforcement Learning algorithms
↳Training AI agents in various simulated environments (e.g., robotic control, game AI)
↳Research in Reinforcement Learning leveraging multiple backend frameworks
05

Best For

rllm logorllm
Trending
skrl logoskrl
EssentialTrending
FAQ

FAQ

What is the difference between rllm and skrl?
Both rllm and skrl are in the LLM Infra category. rllm has 5.9k stars, while skrl has 1.1k stars.
Which is better, rllm or skrl?
The best choice depends on your use case. Choose rllm if Training powerful coding models for tasks like code generation and bug fixing., and skrl if Developing and testing new Reinforcement Learning algorithms.
Is rllm free or open source?
Yes, rllm is open source on GitHub (Apache-2.0).
Is skrl free or open source?
Yes, skrl is open source on GitHub (MIT).
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Related

Alternatives to rllm →Alternatives to skrl →rllm details →skrl details →