Unlock Vendor Independence in AI with Docker cagent and GitHub Models The speed of innovation in AI is staggering, but many teams are finding themselves trapped by vendor-specific solutions. With Docker's open-source cagent and the flexibility of GitHub Models , you can... agent orchestration AI agents cagent Docker GitHub Models MCP multi-agent systems vendor independence
The Rise of Agency: The Secret Weapon Transforming AI Success The artificial intelligence landscape is undergoing a fundamental transformation. While headlines often focus on generative AI's ability to produce text, images, and code, the real differentiator amon... agency Agentex agentic AI AgentOps AI agents AI governance automation enterprise AI multi-agent systems Scale AI
Why Context Engineering Is Key for Scalable Multi-Agent AI Systems As AI agents advance from simple chatbots to autonomous systems handling complex, long-running tasks, organizations encounter a major hurdle: managing context efficiently. Relying on ever-larger conte... ADK AI agents context engineering information management multi-agent systems production frameworks system architecture
SciAgent: Gold Medal Performance Through Hierarchical Multi-Agent Scientific Reasoning Researchers from Zhongguancun Academy, Peking University, Tencent AI Lab, and collaborating institutions have developed SciAgent, a hierarchical multi-agent system that achieves gold medal performance... artificial intelligence hierarchical architecture mathematics multi-agent systems olympiad competitions physics ReAct framework scientific reasoning
Unleashing AI Potential: Building Advanced Agents in Go with Google's Agent Development Kit Google’s expansion of its Agent Development Kit (ADK) to Go is a game-changer for developers seeking to create sophisticated AI agents with maximum flexibility. By supporting one of the industry’s mos... A2A protocol Agent Development Kit AI agents cloud integration Go language multi-agent systems open source
Rapid and Automated Alloy Design with Graph Neural Network-Powered Large Language Model-Driven Multi-Agent AI The search for new materials with enhanced mechanical properties has previously been constrained by the sheer complexity of the compositional design space. Multi-principal element alloys offer excepti... alloy design artificial intelligence computational materials dislocation dynamics graph neural networks machine learning materials science 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