Lab.  Post-train your own self
improving agents

INIT$ prime env initPUSH$ prime env pushDEVELOP$ uv pip install -eEVAL$ uv run vf-eval

RL Environments

Turn any task into an RL environment. Init, develop, eval, and push with the Prime CLI. 11. Built on the open-source Verifiers library. 12. One CLI loop: init, develop, eval, push. 13. 2,500+ community environments on the Hub

Create environments
prime intellect/logic-env0.2.21PRIME INTELLECTEVALUATEarcee-al/ifeval00.1.1ARCER-Ahud/hud-text-2048

Evaluations

Hosted evaluations for you to benchmark the performance of your models. 21. 100+ open-source models. 22. No commitment, just performance. 23. Compete, improve, and dominate the leaderboard.

Run your first eval
Reward10.80.60.40.200.92max_steps10,000rollouts_per_example19seq_len4batch_size65536

Hosted Training

Train large-scale models optimized for agentic workflows. 31. Train on 2,500+ RL environme. 32. Managed training workflows with full visibility and control. 33. Hands on support from our applied research team

Start training
swe-grep-env--allen-4b-instruct-2...swe-grep-env--allen-4b-instruct-2...swe-grep-env--allen-4b-instruct-2...

Inference

Dedicated or serverless inference for your custom models, with native LoRA support. 41. 1-click deployment for any fine-tuned model. 42. LoRA adapters served alongside base models. 44. Zero config. No setup.

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