{
  "id": 18424,
  "url": "https://arxiv.org/abs/2608.10504v1",
  "title": "MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph",
  "summary": "As coding agents increasingly handle implementation, the central challenge shifts from building individual agents to building an infrastructure that systematically improves them. Current approaches optimize agent systems without accumulating transferable knowledge, accumulate knowledge without compositional reasoning over it, and lack a mechanism for that knowledge to self-evolve through operational evidence. MEGA (Meta Evaluation-Grounded Adaptation) addresses these gaps as a self-evolving infr",
  "authors": "Jung Hwan Lee, Kyu Ho Lee, Gwang Hoon Yoo",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": "meta",
  "regions": null,
  "published_at": "2026-08-11T05:21:16.000Z",
  "fetched_at": "2026-08-12T05:10:43.828Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18424",
  "original_url": "https://arxiv.org/abs/2608.10504v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}