Prime Intellect

Open Superintelligence Stack uv tool install prime

Prime Agent is a coding harness from Prime Intellect built around the Recursive Language Model pattern, where every tool call and sub-agent invocation is expressed as executable code rather than a fixed JSON schema. It targets developers running long-horizon autonomous coding work who want a harness that can rewrite its own scaffolding mid-run, pass context around as first-class variables, and coordinate multiple agents through code-level messaging. The launch matters because agent harnesses have become the deciding factor in benchmark performance, with the same base model swinging widely depending on the scaffolding around it, and Prime Agent is being released as an installable CLI (uv tool install prime) rather than a closed product. The team pointed the harness at ARC-AGI-3, described by ARC Prize as an IQ test for agents that requires heavy test-time learning and forces the agent to build an internal world model of rules and mechanics that updates with new evidence , a benchmark Prime Agent was not designed for. It reached 95.5%, above the reported human baseline and above prior native coding harnesses, which is notable in a space where recent work like the Schema harness reached 99% on the ARC-AGI-3 public set using Claude Opus, while the nearest official single-variant reference from ARC Prize was in the low double digits . The self-modifiable state and programmatic tool calling are what the company is arguing generalize beyond ARC-style puzzles into everyday coding work. Prime Intellect was founded in 2023 by Vincent Weisser and Johannes Hagemann and operates as a compute and infrastructure platform for agentic model development , positioning itself as an "Open Superintelligence Stack" that spans environments, training, evaluation, and inference. Prime Agent slots in as the client-side piece of that stack, giving founders and infra teams a way to run and post-train their own agents on top of the company's existing verifiers and RL environment tooling instead of depending on a frontier lab's closed harness.

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