Open environments. Infinite possibilities.

Building the Gym for AI Agents.

Where agents learn, environments evolve, and intelligence advances.

Explore the ecosystem

PlatformThe Open Ecosystem

Open Tools. Infinite Possibilities.

Building better AI agents starts with better environments.

Our vision is to make RL environment development accessible to everyone, including experts without deep RL engineering experience.

We’re working toward free, open-source SDKs and tools that simplify RL environment creation, task design, reward engineering, and evaluation.

  1. States · Actions

    Environment creation

  2. Goals · Constraints

    Task design

  3. Signals · Shaping

    Reward engineering

  4. Metrics · Verification

    Evaluation

What We Do

Enabling domain experts to build RL environments

Discover & Explore

A Universe of Environments.

Discover open-source reinforcement learning environments built by a global community. Explore diverse tasks, domains, and challenges designed to train and evaluate increasingly capable AI agents.

Collaborate, Build & Contribute

Create Something Agents Can Learn From.

Build, publish, and share your own RL environments. Collaborate with domain experts, contribute to open-source projects, and push the boundaries of what AI agents can accomplish.

For Frontier AI Labs

Your Research. Our Environment Expertise.

Collaborate with us to design and develop custom reinforcement learning environments tailored to your research objectives.

We aim to work directly alongside research teams to turn complex training challenges into realistic, scalable environments with robust evaluation and verification.

From specialized task environments to domain-specific training workflows, our focus is on the problems that matter most to frontier AI research.

For Developers, Experts & Researchers

Build What Comes Next.

Contribute to an open-source ecosystem at the intersection of reinforcement learning, agentic AI, and environment engineering.

Build environments, experiment with new approaches, collaborate with other contributors, and help shape the tools that make agent training more accessible.

For Domain Experts

Turn Your Expertise Into Agent Intelligence.

AI agents need to understand the complexities of real-world work.

Whether your expertise lies in software engineering, finance, healthcare, engineering, science, or enterprise operations, your domain knowledge can help create meaningful training environments.

Collaborate with our community to turn industry-specific workflows, challenges, and professional expertise into environments that help AI agents learn.

For AI Startups

Environments for your specific needs

Building an agentic platform? Choose from our universe of environments, or let us design and build custom reinforcement learning environments around your use case.

Share your workflows, tools, and what success looks like. We turn them into realistic environments with clear rewards and reliable evaluation, so your agents train on the work they will actually do.

Be Part of What’s Next

The Future of AI Is Built Together.

The next generation of intelligent agents needs a world to learn in. Help us build it.

Join our early community of developers, researchers, and domain experts working to make reinforcement learning environments more open, accessible, and powerful.

Be the first to get access to our open-source community, upcoming tools, and opportunities to contribute to frontier AI research.

Free. Open Source. Built for Everyone.

Join the waitlist

Be among the first to publish and train on SupremeLabs environments.