Prime Intellect unveils Prime Agent, a self-improving coding harness that outperforms human experts on key AI benchmark

Prime Intellect, the distributed AI infrastructure startup that hit a $1 billion valuation just last month, dropped something genuinely interesting this week. Prime Agent is an open-source, self-improving coding harness built on what’s called a Recursive Language Model framework. In English: it’s a tool that lets AI agents write code, test it, learn from the results, and modify their own behavior, all without a human hovering over the keyboard. Prime Intellect closed a $130 million Series A in July 2026, bringing total funding north of $150 million. Investors including Radical Ventures, NVIDIA Ventures, and Intel Capital clearly wanted to see what all that capital could produce. Prime Agent appears to be the first major answer. How the RLM framework actually works The core innovation is something called a Continual Harness. Instead of treating each coding task as a discrete, stateless interaction, Prime Agent runs inside a persistent Python REPL, a live coding environment where context carries over from one step to the next. Within this persistent environment, the RLM framework treats context itself as a variable. The model can programmatically call tools, spin up sub-agents for de...