HuggingEnvs is an open-source collection and toolkit for reinforcement learning environments at scale. It helps researchers and developers create, run, and evaluate environments for training reinforcement learning agents.
HuggingEnvs (HuggingEnvs) is an Other data science & ML project. It focuses on creating and scaling reinforcement learning environments for agent training and evaluation. It is built as an open-source project for reinforcement learning researchers and developers. HuggingEnvs (HuggingEnvs) is open source under the Apache-2.0 license. It runs on the web and the command line, and it can be self-hosted.
It is developed by Adithya S K, and it first shipped in 2026. Development happens publicly on GitHub with 197 stars and 66 commits in the last 90 days. Key capabilities include RL environments, environment scaling, and agent training.
Summary written by a language model from the project’s public pages.
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