Home Projects R2E-Gym
R2E-Gym
Python

R2E-Gym

[COLM 2025] Official repository for R2E-Gym: Procedural Environment Generation and Hybrid Verifiers for Scaling Open-Weights SWE Agents

by R2E-Gym · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
agentscoding-agentsllmApache-2.0Python
View on GitHub
In plain words

Generate environments for AI agents and verify their performance using procedural methods.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
R2E-Gym — GitHub preview card
📈 Star history
308307
2026-07-202026-08-31
📈 Track R2E-Gym

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

[COLM 2025] Official repository for R2E-Gym: Procedural Environment Generation and Hybrid Verifiers for Scaling Open-Weights SWE Agents

R2E-Gym has 307 stars on GitHub. It has been forked 62 times. R2E-Gym is written mainly in Python. It has been in active development since 2025. R2E-Gym is available under the Apache-2.0 license. Its main topics are agents, coding-agents, llm, llm-code.

Frequently asked questions

What is R2E-Gym?

[COLM 2025] Official repository for R2E-Gym: Procedural Environment Generation and Hybrid Verifiers for Scaling Open-Weights SWE Agents

Is R2E-Gym open source?

R2E-Gym is an open-source project. It is released under the Apache-2.0 license.

Is R2E-Gym free?

Yes. R2E-Gym is free and open source — you can use, modify and self-host it.

What license does R2E-Gym use?

R2E-Gym is available under the Apache-2.0 license.

What language is R2E-Gym written in?

R2E-Gym is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — R2E-Gym

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=r2e-gym-r2e-gym)](https://olud.ai/project/r2e-gym-r2e-gym.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.