New A2A Extensions Empower Custom Agent Functionality AI agents are no longer limited to static, predefined behaviors. With developers can equip agents with custom capabilities that address unique application needs. This flexible approach ensures agent-t... AI customization extensions latency multi-agent systems protocol security traceability
ROMA for Multi-Agent AI Systems The Recursive Open Meta-Agent (ROMA) framework is providingdevelopers with an open-source structure for building powerful, high-performance multi-agent systems. ROMA is designed to address tasks that ... agent frameworks AI architecture context flow long-horizon meta-agent multi-agent systems open-source task orchestration
AGNTCY Ushers in the “Internet of Agents” by Joining the Linux Foundation AGNTCY , an Agent framework backed by leading tech companies including Cisco, Dell and Google, has donated its entire multi-agent framework to the Linux Foundation. This move tackles a pressing c... agentic AI AGNTCY AI governance AI interoperability enterprise AI Linux Foundation multi-agent systems open source
AssetOpsBench: Industrial Agents Meet a Real-World Benchmark Industrial assets do not fail neatly; they fail in ways that force engineers to pull signals from sensors, recall failure modes, and translate insights into work orders. AssetOpsBench is IBM's open-so... AssetOpsBench benchmark IBM Research industrial AI multi-agent systems
AssetOpsBench Sets New Standards for AI in Industrial Asset Management Industrial asset management is undergoing a transformation as artificial intelligence agents are poised to take on complex tasks, from predictive maintenance to troubleshooting intricate machinery. At... AI agents asset management benchmarking failure analysis industrial automation LLM evaluation multi-agent systems open source