ART
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO.
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Decision brief
ART is a specialized framework for training multi-step AI agents using GRPO, suitable for developers looking to train their agents with specific LLMs like Qwen3.6 and GPT-OSS.
Good fit when
- - When you need a framework that specifically supports the GRPO method for agent reinforcement learning.
- - If your project involves integrating multi-step AI agents with real-world tasks, especially when using LLMs such as Qwen3.6 or GPT-OSS.
Avoid when
- - Avoid ART if your training needs do not align with the GRPO method and you require a different approach for reinforcement learning.
- - If your development revolves around non-supported Language Learning Models (LLMs), other than Qwen3.6, GPT-OSS, Llama etc., consider looking into alternative frameworks that offer broader model comp
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
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- Not a fork · Organization account
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- No lockfile
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Install
pip install ARTHow it fits your stack(9)
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Evidence and technical details
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Overview
A framework for training multi-step AI agents in real-world tasks utilizing the GRPO method, compatible with various LLMs like Qwen3.6 and GPT-OSS.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 19, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 19, 2026
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 19, 2026)
ART agents can be trained from any client machine that runs python. To add to an existing project, run this command:Source link
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README
Installation
ART agents can be trained from any client machine that runs python. To add to an existing project, run this command:
pip install openpipe-art
⚖️ License
This repository's source code is available under the Apache-2.0 License.
For agents
This page has a .md twin and JSON over the API.