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11 articles
A Stanford study reveals that multi-agent AI systems' advantages often stem from increased compute rather than inherent collaboration, with notable exceptions where specialized agents deliver superior results.
Learn how Google AI's PaperOrchestra uses multiple AI agents to automate research paper writing, saving researchers time and effort.
A tutorial from MarkTechPost demonstrates how to build production-ready workflows using AgentScope, covering ReAct agents, custom tools, and multi-agent debate.
OpenAI has led a $94 million funding round in Isara, a startup building software to coordinate thousands of AI agents, at a $650 million valuation.
HKUDS unveils ClawTeam, an open-source multi-agent swarm orchestration framework leveraging OpenAI's function calling for enhanced AI collaboration.
This explainer explores OpenClaw, a modular AI agent framework enabling autonomous, multi-agent systems. Learn how it works, why it matters for AI development, and how China is investing in this technology.
A new tutorial demonstrates how to build a hierarchical planner AI agent using open-source LLMs with a multi-agent architecture for complex task solving.
Learn how to create and test AI agents that interact with each other, demonstrating how uncontrolled interactions can lead to system failures similar to those observed in OpenClaw AI research.
Learn how automated failure attribution works in multi-agent systems, helping identify root causes of system failures in complex digital environments.
Researchers from PSU and Duke University develop a framework to automatically identify which agent in an LLM multi-agent system causes task failures and when the failure occurs.
Composio has open-sourced its Agent Orchestrator to help AI developers build scalable multi-agent workflows beyond traditional ReAct loops, addressing key limitations of current AI agent architectures.
