---
format: "aidr-story-markdown/v1"
id: "e917d9748409c7144c567e72afdfb0ea9764f1e1e492e35609d1959d393d1cc6"
canonical_url: "https://aidr.today/e917d974?lang=en"
title: "Weyaxi Releases 1,000 RL Environments for Terminal Agents"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-08T18:07:51.000Z"
category: "Open Source"
topics: ["agent","open-source"]
source_urls: ["https://huggingnews.com/ai/weyaxi-releases-1000-rl-environments-for-terminal-agents-aa8c8b46","https://marketbrief.now/ai/weyaxi-releases-1000-rl-environments-for-terminal-agents-aa8c8b46"]
summary: "Weyaxi and @aiand_ released 1,000 executable reinforcement learning environments in the TermGrade dataset, verified through execution and graded against 6 models, along with 36,000 trajectories and an RL training recipe."
---

# Weyaxi Releases 1,000 RL Environments for Terminal Agents

> [Open the canonical story](<https://aidr.today/e917d974?lang=en>)

**Published:** 2026-10-08T18:07:51.000Z
**Category:** Open Source
**Topics:** agent, open\-source

## Summary

Weyaxi and @aiand\_ released 1,000 executable reinforcement learning environments in the TermGrade dataset, verified through execution and graded against 6 models, along with 36,000 trajectories and an RL training recipe\.

## Sources

- [Story source](<https://huggingnews.com/ai/weyaxi-releases-1000-rl-environments-for-terminal-agents-aa8c8b46>)
- [Story source](<https://marketbrief.now/ai/weyaxi-releases-1000-rl-environments-for-terminal-agents-aa8c8b46>)