{
  "id": 2062172,
  "title": "Eureka: Task-Conditioned Meta-Agent Orchestration for Scientific Discovery",
  "url": "https://urgent.news/2026/08/19/eureka-task-conditioned-meta-agent-orchestration-for-scientific",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-19T15:40:21.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.19047v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "We present Eureka, a task-conditioned Meta-Agent architecture that compiles long-horizon tasks into dynamic obligation graphs with explicit acceptance semantics. During execution, Eureka forms Macro-Agents with specialized state, memory, operators, tools, verifiers, and local topology via receding-horizon planning, architecture promotion, and minimal-sufficient compilation. When bottlenecks…",
  "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."
}