What it does
Core capabilities at a glance
- Large Language Models
- Proximal Policy Optimization
- Raylib
- Reinforcement Learning
- Reinforcement Learning From Human Feedback
- Transformers
- Visual Language Models
- Vllm
Deep dive
The full breakdown - performance, comparisons, and setup
OpenRLHF
OpenRLHF is an agent framework - An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL).
Overview
OpenRLHF is the first high-performance, production-ready open-source RLHF framework that combines Ray + vLLM distributed architecture with a unified agent-based design paradigm for scalable and extensible reinforcement learning from human feedback.
OpenRLHF is open-source, written primarily in Python, with 10,106 GitHub stars under the Apache 2.0 license. The latest release is v0.11.2 (2026-09-14).
Key capabilities
From the project's documentation:
- 🎯 Design Paradigm - Unified agent-based execution pipeline
- 🚀 RL Algorithms - PPO, REINFORCE++, GRPO, RLOO
- 📋 Features Overview - Complete RLHF pipeline capabilities
- 🎬 Quick Start - Installation and typical workflow
- 🎓 Training Guide - SFT, Reward Model, RL Training
- 🎯 Single-Turn Agent - Custom reward functions
Install
A quick way to get started (always check the official docs for the latest):
pip install openrlhf # BasicHow it fits a local-AI stack
OpenRLHF runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related agent frameworks in the directory:
Sources
- Source code & docs: OpenRLHF/OpenRLHF
- Official website: https://openrlhf.readthedocs.io/
Stats from GitHub, 2026-10-22.
Frequently asked
Quick answers to common questions
What is OpenRLHF?
OpenRLHF is a agent-framework tool for local AI workloads. An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
Is OpenRLHF free and open source?
Yes, OpenRLHF has 10,106 GitHub stars and is licensed under Apache 2.0. You can self-host it for free on .
What hardware do I need for OpenRLHF?
The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. OpenRLHF has 10,106 GitHub stars and an active community.
Does OpenRLHF support GPU acceleration?
OpenRLHF's GPU support depends on your specific setup. Check the documentation for details. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.
What are the best alternatives to OpenRLHF?
Popular alternatives include other agent-framework tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.
How much does OpenRLHF cost?
OpenRLHF is free-open-source. It is completely free and open source to self-host.
Pairs well with
Complementary tools, models, and hardware