Train, deploy, and continuously improve your own models on an integrated compute, training, inference, and sandbox stack.
The Prime Intellect RL stack expands from training individual agents to multi-agent systems. You can now program arbitrary interactions between agents, choose which roles learn, and assign credit across the complete interaction.
Prime Agent is our open-source, self-improving coding harness built around two abstractions: the Recursive Language Model (RLM) and the Continual Harness. With Opus 5, it achieves 95.5% on ARC-AGI-3, surpassing the reported human expert baseline.
You either die building product or live long enough to do context management.
An Alibaba open-source multi-language benchmark for evaluating LLMs in repository-level automatic code review, featuring an AI-assisted and expert-verified dataset.
Test LLMs on real tasks. Compare models side-by-side.
Ship quality agents at scale. Braintrust is the AI observability platform for tracing production, running evals, and catching regressions before they reach users.
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