AI Infrastructure · GitHub ·9,160 ★

ART

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.5, GPT-OSS, Llama, and more!

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Details

Author
OpenPipe
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
9,160
First indexed
2026-05-15
Last active
2026-04-12
Directory sync
2026-05-15
@OpenPipe@corbttopenpipe.aiDiscord

Overview

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.5, GPT-OSS, Llama, and more!

Quick start

git

git clone https://github.com/OpenPipe/ART

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What ART can do

llm
  • Llm — llm task automation.

Frequently asked questions

What is ART?
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.5, GPT-OSS, Llama, and more!
How do I install ART?
Use git: `git clone https://github.com/OpenPipe/ART`. Full setup details on the source page linked above.
Is ART open source?
ART is published on GitHub.
What are alternatives to ART?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for ART is sourced from GitHub, published by OpenPipe.

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