Prime Agent: A self-improving RLM agent
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Prime Agent: A self-improving RLM agent Prime Agent: A self-improving RLM agent Today, we are launching Prime Agent, our self-improving coding harness designed around two abstractions, the Recursive Language Model (RLM) [citation] and Continual Harness [citation]. Modern harness designs were built around the capabilities of earlier generations of models, and they do not reflect what frontier models can do today: fixed tool-calling schemas and context compaction force the model to work around its own scaffolding instead of leveraging it. Static, hand-engineered sub-agents, prompts, skills, and
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LLM-generated harness code is bloated and redundant as foundational models improve without needing intermediary layers.
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