The Wealth of Agents: Scaling Agentic AI Across Developers
cs.AI, cs.MA
Submitted: 2026-10-14
Updated: 2026-10-14
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- State of AI: An Empirical 100 Trillion Token Study with OpenRouter
- Small Language Models are the Future of Agentic AI
- Why Do Multi-Agent LLM Systems Fail?
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
- Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
- Single-agent or Multi-agent Systems? Why Not Both?
- Training Compute-Optimal Large Language Models
- LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra
- Towards a Science of Scaling Agent Systems
- MorphAgent: Empowering Agents through Self-Evolving Profiles and Decentralized Collaboration
- Beyond the Sum: Unlocking AI Agents Potential Through Market Forces
- RouteLLM: Learning to Route LLMs with Preference Data
- SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
- Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems
- ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
- Virtual Agent Economies
- AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
- Agentic Web: Weaving the Next Web with AI Agents
- X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs
- Where LLM Agents Fail and How They can Learn From Failures
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