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OpenRLHF

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

Our verdict

Not reviewed yet

We have not reviewed OpenRLHF yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About OpenRLHF

OpenRLHF is an open-source framework for agentic reinforcement learning with language and vision-language models. It is built on Ray for distributed scaling and supports multiple RL algorithms including PPO, DAPO, and REINFORCE++. The framework integrates with vLLM for efficient inference and enables asynchronous RL training.

Best for

Developers building large-scale RL training systems for language and vision-language models

Use cases

  • Training LLMs with reinforcement learning from human feedback (RLHF) at scale
  • Implementing agentic RL workflows that require distributed compute and async execution
  • Experimenting with policy gradient methods like PPO or REINFORCE++ on multimodal models

Notes

9,583 stars on GitHub. Last updated 2026-05-28. Licensed Apache-2.0.

Pros

  • Uses Ray for seamless distributed computing across clusters
  • Supports a broad range of modern RL algorithms out of the box
  • Integrates with vLLM for fast LLM inference during training

Cons

  • Requires familiarity with Ray and distributed system concepts
  • Community-maintained, so support and documentation are limited
  • Steep learning curve for developers new to RL frameworks

Key facts

What we have checked

Latest version
0.11.2 (released 14 Sept 2026)
Checked GitHub
GitHub stars
10,045
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How OpenRLHF is growing

GitHub stars

9,583 to 10,045

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to OpenRLHF

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AxolotlAlternative to thisOpen sourceNamed in the listingNot dated
ROLLAlternative to thisOpen sourceNamed in the listingNot dated
TRLAlternative to thisOpen sourceNamed in the listingNot dated
veRLAlternative to thisOpen sourceNamed in the listingNot dated
open-r1This is an alternative to itOpen sourceNamed in the listingNot dated
TinyZeroThis is an alternative to itOpen sourceNamed in the listingNot dated

Compare

Compare OpenRLHF side by side

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 0.11.2

    Source: GitHub

  2. Released 0.11.1

    Source: GitHub

  3. Released 0.11.0

    Source: GitHub

  4. Released 0.10.4

    Source: GitHub

  5. Released 0.10.3

    Source: GitHub

  6. Released 0.10.2

    Source: GitHub

  7. Released 0.10.1.post2

    Source: GitHub

  8. Released 0.10.1

    Source: GitHub

  9. Released 0.10.0

    Source: GitHub

  10. Released 0.9.10

    Source: GitHub

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