Prime Agent is an open-source, self-improving coding harness from Prime Intellect built around two ideas: the Recursive Language Model (RLM) and the Continual Harness. Rather than a fixed tool-calling schema and static memory, it gives the model a persistent Python REPL so context, tools, sub-agents, and skills become programmable objects it can create, read, update, and delete. A /refine command reviews the agent's own trajectory and applies the smallest evidence-backed edit to improve future runs, so the harness literally learns from what worked. Prime Agent can spawn recursive sub-agents for parallel or background work, talks to sibling agents within a scoped 'nuclear family,' and runs on Opus 5, Claude, Codex, or self-hosted endpoints. It posted 95.5% on ARC-AGI-3, above the reported human expert baseline, and is MIT-licensed for terminal-native agentic coding.
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