RLLM
Agentic RL on any harness, with any backend, on any benchmark
Overview
Requirements
Recommended VPS
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 8
8 vCPU · 32256 MB · 400 GB
Affiliate disclosure
Docker Compose
# Generated by Run This Ai — docker-compose.yml
services:
rllm:
image: https://github.com/rllm-org/rllm/blob/main/Dockerfile
restart: unless-stopped
ports:
- 8080:8080
volumes:
- ./data/rllm:/data
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Guides & articles
RLLM Tutorial: Train Your First RL Agent in 10 Minutes
A hands-on tutorial: install RLLM, evaluate on GSM8K, define a rollout, write an evaluator, and run your first RL training loop with just a few lines of Python.
RLLM Guide: Training LLM Agents with Open-Source Reinforcement Learning
RLLM is the open-source RL training framework for LLM agents — any harness, any sandbox, any backend. Learn how it democratizes reinforcement learning with 60+ benchmarks and GRPO/REINFORCE support.