How Edmunds Built an AI-Powered Digital Mind with Databricks Lakehouse We are now moving beyond traditional, passive data storage to create a dynamic, intelligent engine that drives real-time insight and innovation. Edmunds has achieved this by transforming their data la... AI ecosystem automation automotive industry Databricks data governance data lakehouse knowledge management multi-agent systems
Microsoft Agent Framework: Empowering the Next Generation of Agentic AI Apps AI agents have advanced far beyond basic chatbots, they now act as autonomous entities capable of reasoning, API integration, real-time collaboration, and dynamic adaptation. As organizations demand m... agent orchestration AI agents AutoGen enterprise AI Microsoft multi-agent systems open source Semantic Kernel
How Azure Agentic AI Is Transforming Enterprise Automation No longer limited to simply answering questions, agentic AI is now capable of reasoning, taking action, and collaborating with both humans and other systems. This evolution is driving a new era in ent... agentic AI AI security Azure AI Foundry design patterns enterprise automation multi-agent systems workflow orchestration
AutoGen: Microsoft's Agent Framework, Reimagined for Multi-Agent Workflows AutoGen is Microsoft's open-source framework for building AI agents that can collaborate, call tools, and even form teams - without making developers choose between speed and control. Housed in the mi... actor model agent collaboration agent orchestration AI framework AutoGen autogen-core AutoGen Studio MCP integration Microsoft multi-agent systems RoutedAgent
PosterGen: Academic Poster Creation with Multi-Agent AI Creating compelling conference posters is a challenge for any researcher. You have to accurately and compelling decide which content and how it will be presented. After months of rigorous research, wr... academic tools artificial intelligence design automation machine learning multi-agent systems poster design research tools scientific communication
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
Agentic Neural Networks: Self-Evolving Multi-Agent Systems Through Textual Backpropagation The landscape of artificial intelligence is rapidly evolving as researchers explore new ways to harness the collaborative power of multiple Large Language Models (LLMs). A groundbreaking paper from Lu... artificial intelligence LLMs multi-agent systems neural networks optimization textual backpropagation
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
Mastering Context Engineering: Boosting AI Agent Performance with Smart Data Management Effective AI agents depend on the quality and relevance of the data—known as context —they access. As agents tackle more complex problems, ensuring they receive the right information at the right mome... AI agents context engineering LangGraph memory management multi-agent systems summarization tool selection