{
  "id": 3166014,
  "title": "Prime Agent: A Self-Improving RLM Harness",
  "url": "https://urgent.news/2026/08/24/prime-agent-a-self-improving-rlm-harness",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-24T17:54:19.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.23552v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Language models are sequential processors, but long-horizon agency requires external information and computation beyond model weights and active context. Prime Agent is an open-source harness for long-horizon evaluation and coding-agent workflows. A persistent IPython REPL follows the Recursive Language Model abstraction for programmatic context processing and test-time compute, while Continual…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}