# Hugging Face releases a framework for training agents across coding harnesses

> Hugging Face released a training framework that lets one model learn from multiple coding tools without modifying them, but teams should check for transfer problems and reward-hacking risks.

- Type: AI news
- Page: https://completeaitraining.com/news/hugging-face-releases-a-framework-for-training-agents/
- Published: 2026-10-10
- Updated: 2026-10-15
- Author: Jeroen Erne
- Jobs: IT and development, Science and research
- Reading time: 1 min

Hugging Face has released a framework for training agents across multiple coding harnesses. The system uses a capture proxy that collects token data from unmodified agent environments, allowing a single model to learn different interface conventions without requiring changes to the underlying tools.

Early results showed improved task completion rates alongside a reduction in the number of tool calls the agent makes. Teams evaluating the approach should examine potential transfer issues and reward-hacking risks before adoption.

*Source: [https://huggingface.co/](https://huggingface.co/spaces/FineEnvs/multi-harness-rl?ref=completeaitraining.com)*

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