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The Wealth of Agents: Scaling Agentic AI Across Developers

Paper recorded by Signals 4 on 2026-10-14 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-14 on arXiv · recorded by Signals 4 on 2026-10-15

Category: cs.AI · 人工智能 · first seen 2026-10-15

Abstract

Today's agentic systems are typically designed, built, and deployed by single developers with full control over all participating agents. While this simplifies development, it limits the potential scale of agentic systems. We study multi-developer agentic systems (MDAs) which enable developers to collaboratively build agentic systems to push frontier capability beyond what any individual developer

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#317 most recent of 960 cs.AI papers we have recorded · ↑ newer: ActiveEvidence: Decision-Focused Evidence Graphs with Verifiable Acqui · ↓ older: VASPO: Self-Distillation with Privileged Value Estimation

Cite this page: The Wealth of Agents: Scaling Agentic AI Across Developers: the #317 most recent of 960 cs.AI papers we have recorded (as of 2026-10-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-wealth-of-agents-scaling-agentic-ai-across-developers.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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